Relevant bibliographies by topics / Accuracy diagnosis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Accuracy diagnosis'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Accuracy diagnosis"

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Agarwal, Saumya, and Mamta Gupta. "Diagnostic Accuracy of Cytological Sampling Techniques by Bronchoscopy in the Diagnosis of Lung Cancer." Annals of Pathology and Laboratory Medicine 5, no. 5 (2018): A354–361. http://dx.doi.org/10.21276/apalm.1720.

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Mandia, Sayati. "Accuracy of Diagnosis Coding Based On ICD-10." Asian Pacific Journal of Health Sciences 7, no. 1 (2020): 43–47. http://dx.doi.org/10.21276/apjhs.2020.7.1.8.

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Koss, Leopold G. "Cytology. Accuracy of diagnosis." Cancer 64, S1 (1989): 249–52. http://dx.doi.org/10.1002/1097-0142(19890701)64:1+<249::aid-cncr2820641313>3.0.co;2-2.

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Pankaj Javale, Deepali, and Sharmishta Desai. "Healthcare Critical Diagnosis Accuracy." International journal of electrical and computer engineering systems 14, no. 8 (2023): 927–34. http://dx.doi.org/10.32985/ijeces.14.8.10.

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Since at least a decade, Machine Learning has attracted the interest of researchers. Among the topics of discussion is the application of Machine Learning (ML) and Deep Learning (DL) to the healthcare industry. Several implementations are performed on the medical dataset to verify its precision. The four main players, True Positive (TP), True Negative (TN), False Positive (FP), and False Negative (FN), play a crucial role in determining the classifier's performance. Various metrics are provided based on the main players. Selecting the appropriate performance metric is a crucial step. In additi
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V, Sarva Saiseema, Venkataraman M, and Farooq A. "Fetal Intra-Abdominal Cysts - Accuracy of Prenatal Ultrasound Diagnosis." Open Access Journal of Gynecology 9, no. 3 (2024): 1–13. https://doi.org/10.23880/oajg-16000294.

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Intra-abdominal cysts are commonly seen on prenatal ultrasounds. They are derived from different organ systems. Differentials include renal, hepatic, mesenteric, ovarian cysts, choledochal cysts and many others. Postnatal course may vary from asymptomatic lesions to life threatening conditions. Thus the need for prenatal diagnosis which helps in predicting the clinical outcome and formulating the perinatal management. The objective of our study was to determine the accuracy of prenatal ultrasound in identifying fetal intra adbominal cysts and it’s correlation with postnatal radioimaging. We co
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Hu, Yifeng, and Jessica Haake. "Search Your Way to an Accurate Diagnosis: Predictors of Internet-Based Diagnosis Accuracy." Atlantic Journal of Communication 18, no. 2 (2010): 79–88. http://dx.doi.org/10.1080/15456870903554916.

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Amrikachi, Mojghan, Ibrahim Ramzy, Sheldon Rubenfeld, and Thomas M. Wheeler. "Accuracy of Fine-Needle Aspiration of Thyroid." Archives of Pathology & Laboratory Medicine 125, no. 4 (2001): 484–88. http://dx.doi.org/10.5858/2001-125-0484-aofnao.

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Abstract Context.—Fine-needle aspiration has become an accepted and cost-effective procedure for rapid diagnosis of thyroid lesions. The routine use of fine-needle aspiration has reduced the rate of unnecessary surgery for thyroid nodules. Objectives.—To determine the accuracy of fine-needle aspiration biopsy diagnosis and to discuss the possible pitfalls. Design, Setting, and Participants.—Reports of 6226 fine-needle aspiration biopsies of the thyroid performed during a period of 16 years (1982–1998) were reviewed. Computerized reports of the fine-needle aspiration biopsies were sent to the p
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Kühne Escolà, Jordi, Simon Nagel, Christina Verez Sola, et al. "Diagnostic Accuracy in Teleneurological Stroke Consultations." Journal of Clinical Medicine 10, no. 6 (2021): 1170. http://dx.doi.org/10.3390/jcm10061170.

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Background: The accuracy of diagnosing acute cerebrovascular disease via a teleneurology service and the characteristics of misdiagnosed patients are insufficiently known. Methods: A random sample (n = 1500) of all teleneurological consultations conducted between July 2015 and December 2017 was screened. Teleneurological diagnosis and hospital discharge diagnosis were compared. Diagnoses were then grouped into two main categories: cerebrovascular disease (CVD) and noncerebrovascular disease. Test characteristics were calculated. Results: Out of 1078 consultations, 52% (n = 561) had a final dia
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Rawlinson, William D., Jenna M. Iwasenko, Peter W. Robertson, and Peter C. Taylor. "The Accuracy of Influenza Diagnosis." Infection Control & Hospital Epidemiology 32, no. 1 (2011): 98. http://dx.doi.org/10.1086/657672.

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MacKenzie-Wood, Andrew R., Gerry W. Milton, and John W. Launey. "Melanoma: Accuracy of clinical diagnosis." Australasian Journal of Dermatology 39, no. 1 (1998): 31–33. http://dx.doi.org/10.1111/j.1440-0960.1998.tb01238.x.

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Dissertations / Theses on the topic "Accuracy diagnosis"

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Abbott, J. Haxby, and n/a. "Accuracy in the diagnosis of lumbar segmental mobility disorders." University of Otago. Department of Anatomy & Structural Biology, 2005. http://adt.otago.ac.nz./public/adt-NZDU20070205.094640.

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Background: In the clinical examination of patients with low back pain (LBP), musculoskeletal physiotherapists routinely assess lumbar spinal segmental motion by performing physical examination procedures such as observation of active range of motion and palpation of intervertebral motion. The validity of manual assessment of segmental motion, however, has not been adequately investigated. Methods: In this pragmatic, multi-centre, criterion-related validity study, 138 consecutive patients with LBP were recruited and examined by physiotherapists with postgraduate training in musculoskeletal m
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Zannoni, Letizia <1982&gt. "Accuracy of new sonographic markers in the diagnosis of adenomyosis." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/7818/3/ZANNONI%20LETIZIA_TESI%20DOTTORATO.pdf.

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Objective: to evaluate the diagnostic accuracies of well-known sonographic markers of adenomyosis and of two innovative ones, the question mark sign and the transvaginal ultrasound uterine tenderness. Methods: 78 patients scheduled for hysterectomy for uterine benign diseases underwent preoperative transvaginal ultrasonography to evaluate the criteria of sonographic diagnosis of adenomyosis as reported by consensus statement MUSA. Adenomyosis was diagnosed in presence of two or more of the following parameters: asymmetry of the uterine walls, hyperechoic striae, anechoic myometrial cysts, hyp
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Leonardi, Mathew. "The utility of advanced pelvic ultrasound techniques in the diagnosis and management of patients with endometriosis." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28014.

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Endometriosis is a disease that affects approximately 10% of individuals assigned female at birth. Endometriosis is a chronic oestrogen-dependent and -promoted inflammatory response secondary to ectopic yet functional endometrial-like cell growth outside the uterine cavity. It is generally thought to be a pain-causing disease and has a strong link between endometriosis and infertility. Imaging has emerged as the most optimistic non-invasive and non-surgical tool to diagnose endometriosis. In many centres in Australia and around the world, current evidence-based ultrasound techniques for end
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Carter, David E. "Diagnostic and classification accuracy for mildly mentally handicapped children." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/31112.

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The purpose of this study was to examine the diagnostic and classification accuracy of placement decisions for Mildly/Educably Mentally Handicapped (M/EMH) children in British Columbia. Evidence from the United States suggests that classification decisions are often made on the basis of idiosyncratic student behaviours and the subjective opinions of educators, not on the basis of empirical evidence. Although Canadian special education practice is often based on that of the U.S., no major study of the accuracy of diagnosis and classification has been undertaken in this country. Based on a revi
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Rachaneni, Suneetha. "Accuracy of bladder ultrasound in the diagnosis of detrusor overactivity (BUS study)." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6723/.

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Objective To estimate the accuracy of bladder wall thickness (BWT), measurement by transvaginal bladder ultrasound (BUS) in diagnosing detrusor overactivity (DO) Methods A multicenter study in 687 women with overactive bladder or urgency predominant mixed incontinence in 22 centres was undertaken. Index test was BWT and urodynamics was the reference standard. Reproducibility of BWT and the acceptability of BWT and urodynamics were also studied. Results BWT showed poor sensitivity, specificity and likelihood ratios at all pre-specified cut-offs. The ROC curve showed no evidence of discriminatio
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Rawashdeh, Mohammad. "Radiologist and image characteristics that affect the accuracy of breast cancer diagnosis." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/12790.

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Aims Variations in the performance of mammography readers are well reported, but key lesion and reader features explaining such variations are not fully explored. This PhD study aims to: 1) measure the diagnostic accuracy of breast radiologists, 2) identify parameters linked to higher levels of performance, and 3) establish the key mammogram morphological features that impact upon the detection of breast cancer. Methods All studies received institutional ethics approval. There were two studies, Study A: a test set of mammograms was developed compromising 60 cases, 20 containing cancer, and
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Brazzelli, Miriam. "Studies to inform the methods for Cochrane systematic reviews of diagnostic accuracy in stroke medicine." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5566.

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Background A variety of tests are used in clinical practice to help the diagnostic process and so improve patient care. Many aspects of stroke management depend on accurate and rapid diagnosis. Brain imaging, including CT or MRI, is necessary to identify the location and extent of the cerebral lesion, and to determine the pathological type of stroke and its likely cause. Current treatments - such as thrombolysis - for ischaemic stroke have increased the need for clear evidence on which imaging test is optimal for diagnosis in the acute phase of stroke. Systematic reviews of diagnostic test acc
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Alonzo, Todd Allen. "Assessing accuracy of a continuous medical diagnostic or screening test in the presence of verification bias /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/9600.

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Lloyd, Aaron, Vinay Pasupuleti, Priyaleela Thota, et al. "Accuracy of loop-mediated isothermal amplification for the diagnosis of Clostridium difficile infection: a systematic review." Elsevier B.V, 2015. http://hdl.handle.net/10757/345286.

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Loop-mediated isothermal DNA amplification (LAMP) are currently used as standalone diagnostic test for C. difficile infection (CDI). We assessed the diagnostic accuracy of LAMP for the diagnosis of CDI. We searched 5 databases to identify studies that compared LAMP with culture cytotoxicity neutralization assay or anaerobic toxigenic culture (TC) of C. difficile. We used the random-effects model to calculate pooled sensitivities, specificities, diagnostic odds ratios and their 95% confidence intervals (CIs). The search of the databases yielded 16 studies (6,979 samples) that met inclusion crit
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Staal, Rozemarijn Nathalie. "Diagnostic Accuracy in Dual Diagnosis: The Development of the Screen for Symptoms of Psychopathology in Individuals with Intellectual Disability (SSP-ID)." Wright State University Professional Psychology Program / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wsupsych1347493083.

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Books on the topic "Accuracy diagnosis"

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United States. Food and Drug Administration, ed. New devices aim at improving pap test accuracy. Dept. of Health and Human Services, Public Health Service, Food and Drug Administration, 1997.

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Katzman, Robert. Accuracy of diagnosis and consequences of misdiagnosis of disorders causing dementia. Office of Technology Assessment, 1986.

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Leary, N. P. The cycle completed?: An audit of diagnosis and SMR1 coding accuracy. Scottish Office, 1993.

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Office, General Accounting. Cholesterol measurement: Test accuracy and factors that influence cholesterol levels : report to the Chairman, Subcommittee on Investigations and Oversight, Committee on Science, Space, and Technology, House of Representatives. The Office, 1994.

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J, Shprintzen Robert, Paul Natalie W, and March of Dimes Birth Defects Foundation., eds. Diagnostic accuracy: Effect on treatment planning : proceedings of the Seventh Annual Symposium of the Society of Craniofacial Genetics, held in Denver, Colorado, June 17, 1984. A.R. Liss, 1985.

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Larner, A. J. Diagnostic Test Accuracy Studies in Dementia. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16697-1.

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Larner, A. J. Diagnostic Test Accuracy Studies in Dementia. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17562-7.

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Bezirhan, Ummugul. Modelling Conditional Dependence Between Response Time and Accuracy in Cognitive Diagnostic Models. [publisher not identified], 2021.

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P, Whiting, and National Co-ordinating Centre for HTA (Great Britain), eds. Development and validation of methods for assessing the quality of diagnostic accuracy studies. Gray Publishing on behalf of NCCHTA, 2004.

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Kennedy, Diane M. The ADHD autism connection: A step toward more accurate diagnosis and effective treatment. Waterbrook Press, 2002.

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Book chapters on the topic "Accuracy diagnosis"

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Niola, Massimo, Pierpaolo Di Lorenzo, and Claudia Casella. "Doubt: Recognition or Diagnostic Accuracy?" In Prenatal Diagnosis of Fetal Osteopathologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39347-1_53.

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Anwar, Suzan, Arthur Rahming, Mikea Fernander, Otito Udedibor, and Shereen Ali. "Breast Cancer Diagnosing System: Using a Rough Set-Ensemble Classifier Approach." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88220-3_2.

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Abstract Breast cancer occurs when normal breast cells turn cancerous, grow abnormally and form tumors. The most common cancer impacting women worldwide is breast cancer. Diagnosing breast cancer early and accurately is crucial for giving the correct treatment and ensuring patients receive the best care possible. Due to human error, misdiagnosis is a possibility in the medical field. Over-diagnosis can cause patients to go through unnecessary treatments. Under-diagnosis can allow malignant tumors to become more aggressive and life-threatening. The aim of our research is to create a dependable
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Mebarkia, Meriem, Abdallah Meraoumia, Hakim Bendjenna, Mohammed Saigaa, M. H. Diallo Yaccoub, and Mohamed Ridda Laouar. "Ensemble Classifier for Enhancing Osteoporosis Diagnosis Accuracy." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-71429-0_11.

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Perry, T. B., A. Lippman, M. J. J. Vekemans, L. Carrier, P. J. R. Fournier, and E. F. Hamilton. "Chorionic Villi Sampling: The McGill Randomized Clinical Trial of Safety and Accuracy." In First Trimester Fetal Diagnosis. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70707-0_51.

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Biggeri, A., and M. Bini. "A Case—Study on Accuracy of Cytological Diagnosis." In Statistical Modelling. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0789-4_4.

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Pergament, E., Y. Verlinsky, N. A. Ginsberg, A. Cadkin, and T. Brandt. "Assessment of the Safety and Accuracy of Chorionic Villi Sampling in First Trimester Fetal Diagnosis." In First Trimester Fetal Diagnosis. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70707-0_49.

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Durga, Kbks, M. Shanmuga Sundari, Ayesha Shaik, Shilpa Mukthala, and Harshitha Gudapati. "Improving PCOS Diagnosis Accuracy with CNN-Based Image Analysis." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71484-9_4.

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Mogensen, Mette, and Gregor B. E. Jemec. "Accuracy in the Diagnosis of Non-Melanoma Skin Cancer." In Non-Surgical Treatment of Keratinocyte Skin Cancer. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-79341-0_6.

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Graham Kennedy, Ashley. "Testing." In Diagnosis. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190060411.003.0003.

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When evaluating a diagnostic test, the following three components must be considered: accuracy, clinical effectiveness, and extraclinical value. Doing this requires not only scientific inquiry but also philosophical analysis. Accuracy is best determined via a clinical trial that carefully controls for confounding factors. The clinical effectiveness of a diagnostic test, on the other hand, must be determined by evaluating the test in addition to any subsequent treatment and/or prevention measures. Finally, when evaluating a diagnostic test, one must consider more than just a patient’s measurabl
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Maridu, Bhargavi, Renugadevi R., Shareefunnisa Syed, and Sajida Sultana S. K. "Hybrid Intelligent Diagnosis." In Artificial Intelligence Transformations for Healthcare Applications. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7462-7.ch011.

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The chapter presents a novel approach in medical diagnostics, focusing on differentiating oligodendroglioma and astrocytoma through a hybrid intelligent system. This method integrates deep learning with radiology and pathology imaging to enhance tumor diagnosis. Convolutional neural networks (CNNs) analyze MRI and CT scans alongside microscopic slides, providing a comprehensive understanding of tumors. By leveraging both radiology and pathology, this method offers a precise diagnostic tool, with a significant improvement in accuracy compared to traditional methods. Especially effective in comp
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Conference papers on the topic "Accuracy diagnosis"

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Liang, Zhengrong, Shaojie Chang, Yongfeng Gao, et al. "Leveraging prior knowledge in machine intelligence for improving cancer diagnostic accuracy." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3046856.

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Dhavale, Sharda, and Pushpa M. Bangare. "Improving DR Diagnosis Accuracy with Deep Learning Using Adjudicated Grading." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774710.

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Rao, G. Shivaji, M. V. Ranjith Prasath, S. Manoj Kumar, and S. Shanthosh. "Improving the Accuracy of Medical Diagnosis Detection using Machine Learning." In 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2025. https://doi.org/10.1109/icaiss61471.2025.11042100.

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Mayer, Rebecca, Yifei Gu, Andrew Birkeland, and Randy Carney. "Enhancing cancer detection accuracy in liquid biopsies using spatial Raman spectroscopy." In Optical Biopsy XXIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Angela B. Seddon, and Lingyan Shi. SPIE, 2025. https://doi.org/10.1117/12.3043524.

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Li, Yuzhu, Nir Pillar, Tairan Liu, et al. "Virtual staining-based diagnosis of organ transplant rejection." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.af1b.5.

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We present deep learning-based virtual staining of unlabeled lung and heart tissue sections to diagnose organ transplant rejection, achieving comparable diagnostic accuracy to histochemical staining methods, while significantly reducing staining-related time, cost and labor.
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de Luna, Robert G., Joeben More R. Dalguntas, Adrien Joshua M. Lizardo, et al. "High Accuracy Diagnosis of Pediatric Pneumonia: Achieved Using Convolutional Neural Network." In 2024 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2024. https://doi.org/10.1109/ist63414.2024.10759183.

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Kaur, Arpanpreet. "Revolutionizing Leukemia Diagnosis: Fine-Tuned VGG19 CNN for Enhanced Classification Accuracy." In 2024 Global Conference on Communications and Information Technologies (GCCIT). IEEE, 2024. https://doi.org/10.1109/gccit63234.2024.10862090.

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Dantas, Pedro da Cunha, Lucas Pablo Almendro, Ana Caroline Fonseca Silva, and André Douglas Marinho da Silva. "Magnetic resonance and its diagnostic accuracy of glioblastoma: narrative review." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.294.

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Introduction: Glioblastoma (GBM) is the most common and lethal Central Nervous System (CNS) malignant cancer, and the exclusion of differential diagnoses - eg primary central nervous system lymphoma (PCNSL) - often occurs via various Magnetic Resonance Imaging (MRI) methodologies. Objective: To describe which best image sequences are critical for greater accuracy in the diagnosis of GBM and for their distinction from other CNS tumors. Methods: This is a literature narrative review, initiated by research in Pubmed database, using associated Key words: “Glioblastoma” and “Magnetic Resonance”; an
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Jiang, Hao, Xinyu Ren, and Xiaojian Fang. "Aeroengine Multi-Fault Diagnosis Based on Hierarchical Multi-mode Filtering." In GPPS Xi'an21. GPPS, 2022. http://dx.doi.org/10.33737/gpps21-tc-136.

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Carry out model-based online fault diagnosis for aero-engine sensors, actuators and components. Traditional methods use a set of filters to estimate the current state of the engine, and then process the estimated residuals of each filter to obtain the diagnosis result. For single engine faults, this method has a good diagnostic effect, but when double engine faults are considered, the amount of calculation will greatly increase, and the accuracy and real-time performance of fault diagnosis cannot meet the requirements. In this regard, this paper proposes a fault diagnosis algorithm based on hi
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Upadhyay, Anand, and Samarth Auradkar. "Canny Edge and Deep Belief Neural Network-based Mouth Cancer Diagnosis." In First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025). MG Aricent Educational Foundation, 2025. https://doi.org/10.32622/978-81-931579-0-9-91.

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Mouth cancer is a global health concern thatis faced by almost all countries. Every day lakhs of mouthcancer patients are detected around the world, and it is very challenging to manage such types of issues indeveloping countries where the doctor and patient ratio is very low and do not have a large amount of cancerhospitals to treat all these mouth cancer patients. Mouth cancer requires early and accurate detection and diagnosisof patients to get improved outcomes. Traditional diagnostic methods are effective in diagnosing mouth cancerbut are subjective to the doctors and it leads to variabil
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Reports on the topic "Accuracy diagnosis"

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Hsieh, Patrick, Eric Apaydin, Robert G. Briggs, et al. Diagnosis and Treatment of Tethered Spinal Cord. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepccer274.

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Objectives. To summarize the evidence regarding diagnosis, prophylactic treatment, symptomatic treatment, and repeat surgery of tethered spinal cord. Data sources. We searched PubMed®, Embase®, CINAHL, Web of Science, SCOPUS, clinicaltrials.gov, ICTRP, Cochrane Database of Systematic Reviews, PROSPERO, ECRI repository, G-I-N, MagicApp, and ClinicalKey from inception to March 2024; reference-mined reviews; and contacted research authors. Review methods. The review followed a detailed protocol and was supported by a Technical Expert Panel. Systematic review software (DistillerSR) was utilized fo
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Miller, Kaleigh. US Guided Management of Undifferentiated Dyspneic Patient in the ED. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/com.lsp.2020.0001.

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Intro: Undifferentiated dyspnea can be a complicated presentation muddled by patient comorbidities and similar symptomology shared among etiologies. Some studies have shown increased mortality and length of stay in the hospital when incorrectly initially diagnosed in the ED. US has been shown more effective at differentiating these causes and improves diagnostic accuracy. This study will implement US exam upon initial exam of patient and chart time to diagnosis/treatment, length of stay in ED, length of stay in hospital admissions versus discharge rates, and 30 day mortality. ADHF and COPD/ast
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Sun, Lina, Yanan Han, Hua Wang, et al. MicroRNAs as Potential Biomarkers for the Diagnosis of Inflammatory Bowel Disease: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.2.0027.

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Review question / Objective: The purpose of this systematic review was to systematically review the clinical studies regarding miRNAs as diagnostic biomarkers for inflammatory bowel disease and assess the overall diagnostic accuracy of miRNAs. Condition being studied: The symptoms of inflammatory bowel disease (IBD) are highly variable. The diagnosis of IBD must be made through medical history, physical, laboratory, radiologic, endoscopic, and histological examinations. However, these diagnostic techniques are not specific and sometimes even equivocal. Therefore, reliable biomarkers are urgent
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Zhu, Mucheng, Zhenhua Lu, Hao Guo, Xiaoting Gu, Defang Wei, and Zhengyi Zhang. Diagnostic Value of Combination of Biomarkers for Malignant Pleural Mesothelioma：Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.10.0043.

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Review question / Objective: Tumor biomarkers have become increasingly attractive due to their non-invasive properties and relatively inexpensive nature for early diagnosis of Malignant pleural mesothelioma (MPM) .Many scholars have published studies on DNA and protein as biomarkers for early diagnosis of MPM, which might be a new breakthrough. A new meta-analysis is necessary to compare the accuracy of combination of three kinds of DNA and three kinds of proteins. Condition being studied: XAs the previous studies have a certain controversy about DNA as a biomarker of MPM, we conducted a syste
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Shah, Syed Zaigham Ali. ACCURACY OF LUNGS ULTRASOUND IN THE DIAGNOSIS OF PNEUMONIA: A SYSTEMATIC REVIEW. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.9hljepmh.1.

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Ahluwalia, Sangeeta C., Julia I. Bandini, Margaret Maglione, et al. Interventions To Improve Care of Bereaved Persons. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcsrbereaved.

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Objectives. Recently bereaved individuals face higher risks of adverse health outcomes, including increased risk of morbidity and mortality, increased risk of suicide, and lower functional status and quality of life. This systematic review assessed the available evidence on screening, diagnosing, and treating children and adults at risk for or diagnosed with grief disorders related to bereavement. Findings from this review informed a 2-day independent subject matter advisory panel convened on June 10, 2024, by the Substance Abuse and Mental Health Services Administration (SAMHSA) that assessed
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Vilca-Alosilla, Juan Jeferson, Mayron Antonio Candia-Puma, Katiusca Coronel-Monje, et al. Comparing the accuracy of COVID-19 diagnostic tests: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.11.0090.

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Review question / Objective: The present study aims to systematically review and summarize the available literature on the diagnostic accuracy of COVID-19 diagnostic tests. To do this, a systematic review of the medical literature was carried out between 2020 and 2021. The results were analyzed through a meta-analysis based on the techniques developed and used in the diagnosis of COVID-19. Eligibility criteria: The studies were selected in three stages. In the first, non-English language articles, duplicate articles, reviews, and meta-analyses were excluded, only articles published between 202
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Hu, Qifan, Qiyu Liu, Lipeng Sun, and Hui Wang. Accuracy of computer-aided diagnosis systerm for the diagnosis of malignant thyroid nodules on ultrasound：A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0047.

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Serban, Christa, Diana Lungeanu, Sergiu-David Bota, et al. Emerging Technologies for Dentin Caries Detection. A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.1.0097.

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Review question / Objective: What is the diagnostic test accuracy of emerging technologies for non-cavitated dentin caries detection, considering in vivo and in vitro studies that reported results regarding the occlusal and proximal surfaces, over the last 10 years? Information sources: Electronic databases of Medline, Embase, and PubMed were searched for articles published within the last decade (January 2011 to August 2021).in the period mentioned above. Medline and Embase databases were searched concomitantly using the Ovid interface. To find articles potentially missed by the search, Googl
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Wang, Xian-Min, Miao Yu, Xiao-Jun Tian, and Deng-Chao Wang. Meta-analysis of serum amyloid A for the diagnosis of neonatal sepsis: A comprehensive evaluation of diagnostic accuracy and clinical utility. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.7.0056.

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