Academic literature on the topic 'Scan Data Diagnostic'

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Journal articles on the topic "Scan Data Diagnostic"

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Karellos, Nickolaos Dimitrios, and Charalambos Sotiriou Zouras. "TRANSFER OF CT SCAN DATA TO DIAGNOSTIC CASTS." Implant Dentistry 2, no. 2 (1993): 97–100. http://dx.doi.org/10.1097/00008505-199305000-00006.

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ND, Karellos, and Zouras CS. "Transfer of CT scan data to diagnostic casts." Implant Dentistry 2, no. 2 (1993): 134. http://dx.doi.org/10.1097/00008505-199305000-00023.

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Bamford, Claire, Kirsty Olsen, Chris Davison, et al. "Is there a preference for PET or SPECT brain imaging in diagnosing dementia? The views of people with dementia, carers, and healthy controls." International Psychogeriatrics 28, no. 1 (2015): 123–31. http://dx.doi.org/10.1017/s1041610215001039.

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ABSTRACTBackground:Positron emission tomography (PET) and single photon emission computed tomography (SPECT) brain imaging are widely used as diagnostic tools for suspected dementia but no studies have directly compared participant views of the two procedures. We used a range of methods to explore preferences for PET and SPECT.Methods:Patients and controls (and accompanying carers) completed questionnaires immediately after undergoing PET and SPECT brain scans. Pulse rate data were collected during each scan. Scan attributes were prioritized using a card sorting exercise; carers and controls a
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Purbasari, Utami, Nurhayati Adnan Prihartono, Helda Helda, Budhi Antariksa, and Fatira R. Audita. "Optimizing chest X-rays as a leading diagnostic modality for handling COVID-19: a diagnostic study." International Journal of Public Health Science (IJPHS) 14, no. 2 (2025): 799. https://doi.org/10.11591/ijphs.v14i2.24653.

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Recent studies have highlighted that chest CT scans are crucial for accurately diagnosing COVID-19. However, in rural areas of Indonesia, people may have difficulty assessing CT scans, leading to increased undetected cases. To address this issue, we investigated whether chest X-rays (CXR) could replace CT scans in diagnosing COVID-19 patients. A diagnostic cross-sectional-based study was conducted at Fatmawati General Hospital from January to September 2021. The study included suspected COVID-19 patients in isolation wards and ICU who were over 18, with or without comorbidities, and had comple
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Zulfatul, Naily, Sayekti Dwi W., Mas Ayu F., and Lailatul M. "PENENTUAN DIAGNOSTIC REFERENCE LEVEL (DRL) DAN KAJIAN PEMILIHAN PARAMETER EXPOSUR PADA CT SCAN KEPALA DAN ABDOMEN DI RSUD BANGIL." Prosiding Seminar Si-INTAN 4, no. 1 (2024): 57–61. http://dx.doi.org/10.53862/ssi.v4.092024.009.

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A study has been conducted to determine the local diagnostic reference level (DRL) value of CT scans at Bangil Regional Hospital. The determination and calculation of the DRL value are based on the measurement of the patient's dose, namely using the CT scan examination results in the form of CTDIVol values and DLP values. The DRL value is determined from the CTDIVol and DLP data distribution in quartile 3. Patient dose data uses a Toshiba 16-slice CT scan and a Canon 160-slice CT scan. Seven hundred twenty data were obtained, distinguished by 680 adults and 40 children. The local DRL value at
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Sayeed, Fatmah. "Factors Contributing to the Accuracy of PET Scans in Detecting Cancer Metastases in Cairo Hospitals, Egypt." Sriwijaya Journal of Radiology and Imaging Research 2, no. 1 (2024): 44–49. http://dx.doi.org/10.59345/sjrir.v2i1.118.

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Introduction: Positron emission tomography (PET) has become an important diagnostic tool in oncology, providing metabolic information that can aid in the detection and evaluation of cancer. However, the accuracy of PET scans in detecting cancer metastases can be influenced by various factors, including the type of cancer, location of metastases, and image acquisition protocol. This study aims to evaluate the factors that influence the accuracy of PET scans in detecting cancer metastases in patients at Cairo Hospital, Egypt.
 Methods: Patient data were collected retrospectively. A total of
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Asni, Nur, and Moh Shofi Nur Utami. "QUALITY CONTROL CT SCAN (ANALISIS DAN EVALUASI KUALITAS CITRA)." Prosiding Seminar Si-INTAN 3, no. 1 (2023): 82–86. http://dx.doi.org/10.53862/ssi.v3.092023.014.

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Producing high-quality CT scans is crucial for accurately interpreting images and obtaining maximum diagnostic information. However, it usually comes at the cost of increased radiation exposure for the patient. Therefore, it's essential to evaluate CT scan image quality to ensure that it provides maximum information for diagnostic purposes while keeping the radiation dose received by the patient as low as possible. Several parameters can be used to evaluate the quality of CT scan images, such as accuracy, linearity, uniformity of the CT number, and high contrast resolution (spatial resolution)
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Ali, Azmat, Nadia Khattak, Adnan Ahmed, Jawad Ali Memon, Maimoona Afsar, and Hafeez ur Rehman. "Diagnostic Accuracy of CT Scans in Blunt Abdomical Trauma." Pakistan Journal of Medical and Health Sciences 15, no. 10 (2021): 3503–5. http://dx.doi.org/10.53350/pjmhs2115103503.

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Background and Aim: Blunt abdominal trauma may lead to a serious situation that necessitates prompt diagnosis and treatment. The intra-abdominal injury effective diagnosis is difficult in patient’s management in such cases. The present study aims to evaluate the diagnostic accuracy of computed tomography scans in active internal bleeding following abdominal trauma. Materials and Methods: This cross-sectional study was carried out on 84 blunt abdominal trauma patients in the Department of Radiology Hayatabad Medical Complex, Peshawar for duration of six months from January 2021 to June 2021. Al
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Mokubangele, Celestin Mpeke, Alexandre Ngwa Ebongue, Francisse Ouogue, Daniel Bongue, and Boniface Moifo. "EVALUATION OF IRRADIATION DOSES DELIVERED TO PATIENTS IN COMPUTED TOMOGRAPHY EXAMINATIONS IN 10 RADIOLOGY DEPARTMENTS IN DOUALA-CAMEROON." Radiation Protection Dosimetry 191, no. 3 (2020): 288–95. http://dx.doi.org/10.1093/rpd/ncaa124.

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Abstract Computed tomography (CT) scan is currently the most irradiating radio diagnostic procedure for the patients. The effective dose delivered by a CT-scan exploration corresponds to 1–20 years of natural irradiation of an individual. Hence, there is need to evaluate this medical exposure, in order to provide indicators and propose guidelines for its daily practice. The purpose of this work was to assess patient exposure levels due to CT-scan exams and propose a local diagnostic reference levels for the most common CT examinations performed in the radiology units of Douala/Cameroon. Data f
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Hwang, Peter H., Sande B. Irwin, Susan E. Griest, James E. Caro, and Gary M. Nesbit. "Radiologic Correlates of Symptom-Based Diagnostic Criteria for Chronic Rhinosinusitis." Otolaryngology–Head and Neck Surgery 128, no. 4 (2003): 489–96. http://dx.doi.org/10.1016/s0194-59980223295-7.

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OBJECTIVE: In 1997, the Task Force on Rhinosinusitis (TFR) set forth symptom-based diagnostic guidelines for chronic rhinosinusitis (CRS). In the present study, we examined radiologic correlates of the TFR diagnostic criteria for rhinosinusitis. STUDY DESIGN AND SETTING: One hundred twenty-five consecutive patients undergoing computed tomography (CT) scans of the sinuses were studied at Oregon Health and Science University. Patients were evaluated prospectively with a questionnaire based on the TFR criteria, and their CT scans were graded according to the Lund-Mackay scoring system. RESULTS: O
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Books on the topic "Scan Data Diagnostic"

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Volkswagen Scan Tool Companion 1990-1995: Working with On-Board Diagnostics (OBD) Data for Engine Management Systems. Bentley Publishers, 2001.

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Book chapters on the topic "Scan Data Diagnostic"

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Anwar, Suzan, Mardin Anwer, and Daniah Al-Nadawi. "DeepFake Technology for Breast Cancer Dataset Generation Using Autoencoders and Deep Neural Networks." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88220-3_1.

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Abstract In the emerging field of radiogenomics, the primary challenge is the high cost of genetic testing, which restricts access to large, paired datasets of imaging and genetic information. Such datasets are essential for the effective training of machine learning algorithms in radiogenomic analyses. This research aims to bridge the gap between gene expression in tumors and their morphological representation in MRI scans of breast cancer patients. In this work an advanced autoencoder for processing gene expression data, and the derived weights from this autoencoder utilized were then employ
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Tyson, Farrell C., Stefan Pieger, and Harkaran S. Bains. "The NIDEK Cataract Suite: The OPD-Scan III Multifunction Diagnostic Device and the AL-Scan Optical Biometer." In Intraocular Lens Calculations. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-50666-6_23.

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AbstractThe OPD-Scan III is a multiple-instrument device combining corneal topography, wavefront aberrometry, autorefraction, keratometry, pupillometry, and pupillography. The measurement of topography and whole eye wavefront allows separation of corneal and internal aberrations for rapid assessment of the refractive and optical effects of the cornea, physiologic lens, or an intraocular lens. The Daya Cataract Summary, the Cataract Summary, the Optical Quality summary, the Internal OPD, toric summary, and retroillumination maps are described.The AL-Scan optical biometry is an optical biometer
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Shafkat Raihan, S. M., Raihan Ul Islam, Mohammad Shahadat Hossain, and Karl Andersson. "A BRBES to Support Diagnosis of COVID-19 Using Clinical and CT Scan Data." In Lecture Notes on Data Engineering and Communications Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6636-0_37.

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Boutorh, Aicha, Hala Rahim, and Yassmine Bendoumia. "Explainable AI Models for COVID-19 Diagnosis Using CT-Scan Images and Clinical Data." In Computational Intelligence Methods for Bioinformatics and Biostatistics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20837-9_15.

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Dommeti, Dhiren, Siva Rama Krishna Nallapati, P. V. V. S. Srinivas, and Venkata Naresh Mandhala. "Repercussions of Incorporating Filters in CNN Model to Boost the Diagnostic Ability of SARS-CoV-2 Virus Using Chest Computed Tomography Scans." In Smart Technologies in Data Science and Communication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6880-8_22.

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Podoloff, Robert, and Mike Harty. "T-Scan 10 Recording Dynamics, Force and Timing Software Tools, and the Chairside Clinical Skills for Optimal T-Scan Implementation." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2024. https://doi.org/10.4018/978-1-6684-9313-7.ch004.

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The newly designed T-Scan 10 Computerized Occlusal Analysis system represents the State of the Art in occlusal diagnosis. The reliability of the system's High Definition (HD) recording sensors, the many occlusal analysis timing and force software features, and the modern-day computer hardware electronics that record occlusal function in 0.003 second real-time increments, affords a clinician unparalleled occlusal contact timing and force data, with which to predictably diagnose and treat many occlusal abnormalities. T-Scan 10 represents the culmination of 40 years of T-Scan technology innovatio
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Anselmi, Robert, and Robert B. Kerstein, DMD. "T-Scan 10 Recording Dynamics, System Features, and Clinician User Skills Required for T-Scan Chairside Mastery." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9254-9.ch004.

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The newly designed T-Scan 10 Computerized Occlusal Analysis system represents the state of the art in occlusal diagnosis. The reliability of the system's high definition recording sensors, the many occlusal analysis timing and force software features, and the modern-day computer hardware electronics that record occlusal function in 0.003 second real-time increments, affords a clinician unparalleled occlusal contact timing and force information, with which to predictably diagnose and treat many occlusal abnormalities. T-Scan 10 represents the culmination of 34 years of T-Scan technology innovat
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Solow, DDS, Roger. "Centric Relation Records and T-Scan Occlusal Analysis of Centric Relation Prematurities." In Handbook of Research on Computerized Occlusal Analysis Technology Applications in Dental Medicine. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6587-3.ch014.

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Occlusal analysis is the examination and diagnosis of the forces generated by the contacting surfaces of teeth. The clinician can use both mounted diagnostic casts and the T-Scan Occlusal Analysis system to understand the role of adverse forces in a patient's dentition. These casts should be mounted in Centric Relation so that they replicate the patient's hinge axis maxillomandibular relationship, absent of tooth contact. Diagnostic casts can demonstrate the mandibular slide into maximum intercuspation, as well as illustrate the excursive contacts. The T-Scan not only records the location of t
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Radke, BM, MBA, John C. "Adding Technology to Diagnostic Methods." In Oral Healthcare and Technologies. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1903-4.ch006.

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Adding technology to clinical diagnosis improves patient care, because objective measurements enhance the patient's report of symptoms and the observations made during an examination. The combination of multiple tests has universally been acknowledged to improve diagnostic sensitivity and specificity, as well as add value to treatment effectiveness monitoring and treatment outcomes. This chapter discusses four dental technologies that objectively measure differing masticatory functions: Surface Electromyography, Magnet-Based 3-Dimensional Electrognathography, Temporomandibular Joint Vibration
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Radke, BM, MBA, John C. "Adding Technology to Diagnostic Methods." In Handbook of Research on Computerized Occlusal Analysis Technology Applications in Dental Medicine. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6587-3.ch005.

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Adding technology to clinical diagnosis improves patient care, because objective measurements enhance the patient's report of symptoms and the observations made during an examination. The combination of multiple tests has universally been acknowledged to improve diagnostic sensitivity and specificity, as well as add value to treatment effectiveness monitoring and treatment outcomes. This chapter discusses four dental technologies that objectively measure differing masticatory functions: Surface Electromyography, Magnet-Based 3-Dimensional Electrognathography, Temporomandibular Joint Vibration
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Conference papers on the topic "Scan Data Diagnostic"

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Bhargava, Rohit. "Infrared Spectroscopic Imaging for Clinical Digital Histopathology." In Imaging Systems and Applications. Optica Publishing Group, 2024. https://doi.org/10.1364/isa.2024.im1g.2.

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Histopathology underpins almost all diagnostic tests and research in solid tissues. Here we describe infrared imaging technology to address the challenge of recording high fidelity data to scan large tissue samples in reasonable times. Full-text article not available; see video presentation
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Lee, Juyong, Sooryeong Lee, Hayoung Lee, and Sungho Kang. "Scan Architecture with Data Observation for Multiple Scan Cell Fault Diagnosis." In 2024 21st International SoC Design Conference (ISOCC). IEEE, 2024. http://dx.doi.org/10.1109/isocc62682.2024.10762245.

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Foo, Lee Yi, Muhammad Ehsan Rana, and Vazeerudeen Abdul Hameed. "Stroke Detection and Diagnosis in CT Scan Based on Deep Learning." In 2024 5th International Conference on Data Analytics for Business and Industry (ICDABI). IEEE, 2024. https://doi.org/10.1109/icdabi63787.2024.10800435.

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Agarwal, Rohit, B. Gayathri, Cherukupalli Mallikarjuna Rao, Zaid Alsalami, Monisha Jothi R, and K. Jaya Deepthi. "Automated Lung Cancer Diagnosis Using Vision Transformers (ViT) on CT Scan Data." In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2024. https://doi.org/10.1109/icicat62666.2024.10923455.

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Jaganath, M., G. Ramya Shri, B. I. Bharani, S. G. Manoj Kumar, S. Saravana Haris, and B. Karneya. "AI-Powered MRI Scan Analysis for Enhanced Patient Hospitality: Real-Time Report Generation for Faster Diagnosis - A Systematic Review." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961162.

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B, Sudharshana, Akila Gandhi G S, and Nandhini V. "A Novel Deep Learning Framework Utilizing Xception and CNNs for Enhancing Diagnostic Accuracy in the Precise Classification of Brain Tumors from MRI Scans." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011849.

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Tang, Xiangyang, Jiang Hsieh, John L. Seamans, Fang Dong, and Darin Okerlund. "Cardiac imaging in diagnostic VCT using multi-sector data acquisition and image reconstruction: step-and-shoot scan vs. helical scan." In Medical Imaging, edited by Jiang Hsieh and Ehsan Samei. SPIE, 2008. http://dx.doi.org/10.1117/12.769908.

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Eddleman, Chris, Nagesh Tamarapalli, and Wu-Tung Cheng. "Advanced Scan Diagnosis Based Fault Isolation and Defect Identification for Yield Learning." In ISTFA 2005. ASM International, 2005. http://dx.doi.org/10.31399/asm.cp.istfa2005p0501.

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Abstract Yield analysis of sub-micron devices is an ever-increasing challenge. The difficulty is compounded by the lack of in-line inspection data as many companies adopt foundry or fab-less models for acquiring wafers. In this scenario, failure analysis is increasingly critical to help drive yields. Failure analysis is a process of fault isolation, or a method of isolating failures as precisely as possible followed by identification of a physical defect. As the number of transistors and metal layers increase, traditional fault isolation techniques are less successful at isolating a cause of f
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Chong, Soon Woei, Kan Sun, Wilson C. H. Lee, Rahul Babu Radhamony, Hao Hu, and Lesly Endrinal. "Logic State PEM Analysis for ATPG SCAN Logic Failure." In ISTFA 2022. ASM International, 2022. http://dx.doi.org/10.31399/asm.cp.istfa2022p0352.

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Abstract Photon Emission Microscopy (PEM) analysis is one of the most common used FA techniques to identify the root cause of failures within ATPG scan logic due to its ease of setup and less invasive nature. While conducting photon emissions, the device is made to operate in the fail mode by running a production test vector to look for anomalous emissions or hot spots that could narrow down the area of interest (AOI) for subsequent Physical Failure Analysis (PFA). However, if there is no clue from emission analysis in the case of a hard failure with no sensitivity to voltage, frequency, or te
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Freytag, Michael K., Vadim Shapiro, and Igor Tsukanov. "Scan and Solve: Acquiring the Physics of Artifacts." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35701.

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Existing physical artifacts including sculpture, mechanical parts, and anatomical structures are commonly acquired by modern surface and volumetric scanning technologies for archival, visualization, and diagnostic purposes. While the native representations for such data are largely sufficient for visualization purposes, more advanced field simulation currently requires extensive manual conversions into simplified surface and volume meshes compatible with the traditional finite element analysis pipeline. These conversions are tedious, error-prone, and require expertise in the mesh construction
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Reports on the topic "Scan Data Diagnostic"

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Schnabel, Filipina, and Danielle Aldridge. Effectiveness of EHR-Depression Screening Among Adult Diabetics in an Urban Primary Care Clinic. University of Tennessee Health Science Center, 2021. http://dx.doi.org/10.21007/con.dnp.2021.0003.

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Background Diabetes mellitus (DM) and depression are important comorbid conditions that can lead to more serious health outcomes. The American Diabetes Association (ADA) supports routine screening for depression as part of standard diabetes management. The PHQ2 and PHQ9 questionnaires are good diagnostic screening tools used for major depressive disorders in Type 2 diabetes mellitus (DM2). This quality improvement study aims to compare the rate of depression screening, treatment, and referral to behavioral health in adult patients with DM2 pre and post-integration of depression screening tools
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Bercovier, Herve, and Paul Frelier. Pathogenic Streptococcus in Tilapia: Rapid Diagnosis, Epidemiology and Pathophysiology. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568776.bard.

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Within the project "Pathogenic Streptococcus in Tilapia", gram positive cocci pathogens of fish in Israel and in the United States were characterized. We showed that Streptococcus shiloi, the name for an agent causing septicemic infection in fish, is a junior synonym of Streptococcus iniae and that Enterococcus seriolicida is a junior synonym of Lactococcus garvieae, a causative agent of septicemia and meningo-encephalitis in fish. Molecular epidemiology studies on these two pathogens, based on 16S rDNA sequences and ribotyping showed that although each country had specific clones, S. iniae or
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Fearns, Joshua, and Lydia Harriss. Data science skills in the UK workforce. Parliamentary Office of Science and Technology, 2023. http://dx.doi.org/10.58248/pn697.

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This POSTnote looks at specialist data skills in the UK, including for artificial intelligence. It considers demand and supply, workforce demographics, challenges, and initiatives to increase supply. Key points: • Collecting and analysing data offers potential economic and social benefits. Analysis by the McKinsey Global Institute estimated that, by 2030, UK GDP could increase by up to 22% as a result of AI. • Potential societal benefits could range from climate change mitigation, to improving early detection and diagnosis of cancers by using AI to identify patterns from imaging (MRI) scans th
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Kahwati, Leila, Matthew Avenarius, Leslie Brouwer, et al. Blood-Based Tests for Multiple Cancer Screening: A Systematic Review. AHRQ, 2025. https://doi.org/10.23970/ahrqepcsrmultiple.

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Objectives. Screening for multiple cancers in a single blood test is potentially transformative. The objective of this review was to assess the benefits, harms, and accuracy of screening with blood-based multicancer screening tests (MCST) in asymptomatic adults. Data sources. Medline, Cochrane Library, trial registries, relevant government and commercial websites through December 2024; surveillance was conducted through March 31, 2025. Study Selection. Eligible designs included controlled studies for benefit outcomes (e.g., cancer mortality, cancer detection, quality of life), controlled and u
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Levisohn, Sharon, Maricarmen Garcia, David Yogev, and Stanley Kleven. Targeted Molecular Typing of Pathogenic Avian Mycoplasmas. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695853.bard.

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Intraspecies identification (DNA "fingerprinting") of pathogenic avian mycoplasmas is a powerful tool for epidemiological studies and monitoring strain identity. However the only widely method available for Mycoplasma gallisepticum (MG) and M. synoviae (MS)wasrandom amplified polymorphic DNA (RAPD). This project aimed to develop alternative and supplementary typing methods that will overcome the major constraints of RAPD, such as the need for isolation of the organism in pure culture and the lack of reproducibility intrinsic in the method. Our strategy focussed on recognition of molecular mark
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Lamina, Toyin, Sallee Brandt, Hamdi I. Abdi, et al. The Effect of Protein Intake on Health: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepcsrproteinhealth.

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Objective. This review examines the association between dietary protein intake and the risk of bone disease, kidney disease, and sarcopenia, aiming to inform future Dietary Reference Intakes (DRIs) updates, including the development of a Chronic Disease Risk Reduction (CDRR) reference value for protein. Data sources. We searched MEDLINE®, Embase®, AGRICOLA, and Scopus from January 2000 to May 2024, and supplemented by citation searching of relevant reviews and original research. Review methods. Following the Agency for Healthcare Research and Quality Methods Guide for Effectiveness and Compara
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Rankin, Nicole, Deborah McGregor, Candice Donnelly, et al. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, 2019. http://dx.doi.org/10.57022/clzt5093.

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Background Lung cancer is the number one cause of cancer death worldwide.(1) It is the fifth most commonly diagnosed cancer in Australia (12,741 cases diagnosed in 2018) and the leading cause of cancer death.(2) The number of years of potential life lost to lung cancer in Australia is estimated to be 58,450, similar to that of colorectal and breast cancer combined.(3) While tobacco control strategies are most effective for disease prevention in the general population, early detection via low dose computed tomography (LDCT) screening in high-risk populations is a viable option for detecting asy
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