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Artículos de revistas sobre el tema "Augmented imaging"

Autor: Grafiati
Publicado: 29 de junio de 2022
Última modificación: 31 de julio de 2025

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1

DERSHAW, D. DAVID. "Imaging the Augmented Breast." Contemporary Diagnostic Radiology 21, no. 12 (1998): 1–5. http://dx.doi.org/10.1097/00219246-199821120-00001.

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2

Stott, Peter. "Transcendental imaging and augmented reality." Technoetic Arts 9, no. 1 (2011): 49–64. http://dx.doi.org/10.1386/tear.9.1.49_1.

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3

Marchesini, Stefano, Andre Schirotzek, Chao Yang, Hau-tieng Wu, and Filipe Maia. "Augmented projections for ptychographic imaging." Inverse Problems 29, no. 11 (2013): 115009. http://dx.doi.org/10.1088/0266-5611/29/11/115009.

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4

Davidson, J., F. W. Poon, J. H. McKillop, and H. W. Gray. "Pethidine-augmented HMPAO leukocyte imaging." Nuclear Medicine Communications 20, no. 5 (1999): 479. http://dx.doi.org/10.1097/00006231-199905000-00087.

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5

Eklund, GW, RC Busby, SH Miller, and JS Job. "Improved imaging of the augmented breast." American Journal of Roentgenology 151, no. 3 (1988): 469–73. http://dx.doi.org/10.2214/ajr.151.3.469.

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6

Douglas, David, Clifford Wilke, J. Gibson, John Boone, and Max Wintermark. "Augmented Reality: Advances in Diagnostic Imaging." Multimodal Technologies and Interaction 1, no. 4 (2017): 29. http://dx.doi.org/10.3390/mti1040029.

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7

Kruse, Beth D., and A. Jill Leibman. "Breast Imaging and the Augmented Breast." Plastic Surgical Nursing 12, no. 3 (1992): 109–16. http://dx.doi.org/10.1097/00006527-199201230-00005.

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8

Huch, R. A., W. Künzi, J. F. Debatin, W. Wiesner, and G. P. Krestin. "MR imaging of the augmented breast." European Radiology 8, no. 3 (1998): 371–76. http://dx.doi.org/10.1007/s003300050397.

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9

CHANDRAMOULY, BELUR S., and RAKESH D. SHAH. "False-Positive Morphine Augmented Hepatobiliary Imaging." Clinical Nuclear Medicine 21, no. 1 (1996): 80–81. http://dx.doi.org/10.1097/00003072-199601000-00029.

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10

JACOBSON, ARNOLD F. "False-Positive Morphine Augmented Hepatobiliary Imaging." Clinical Nuclear Medicine 21, no. 1 (1996): 81. http://dx.doi.org/10.1097/00003072-199601000-00030.

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11

Lakshmi, C. P., Sebastian Liya, K. Meenakshi, and KS Salkala. "Augmented Reality." Journal of Research and Reviews in Human Computer Interaction 1, no. 1 (2025): 28–37. https://doi.org/10.5281/zenodo.15086865.

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<em>Augmented Reality (AR) enhances real-world en- vironments by overlaying digital content, enabling interaction across industries like healthcare, gaming, and manufacturing. AR operates through marker-based, markerless, projection, and overlay-based methods, utilizing head-mounted displays, hand- held devices, and projection systems. Key challenges include tracking accuracy, latency, usability, and hardware limitations. AR integrates AI, IoT, and cloud computing for improved real- time processing. Applications include medical imaging, industrial automation, military simulations, and entertai
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12

Currie, Geoffrey M. "Intelligent Imaging: Artificial Intelligence Augmented Nuclear Medicine." Journal of Nuclear Medicine Technology 47, no. 3 (2019): 217–22. http://dx.doi.org/10.2967/jnmt.119.232462.

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13

Nikou, Constantinos, Anthony M. Digioia, Mike Blackwell, Branislav Jaramaz, and Takeo Kanade. "Augmented reality imaging technology for orthopaedic surgery." Operative Techniques in Orthopaedics 10, no. 1 (2000): 82–86. http://dx.doi.org/10.1016/s1048-6666(00)80047-6.

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14

Vortman, J. G., and A. Bar-Lev. "Augmented performance criterion for thermal imaging systems." Journal of the Optical Society of America A 3, no. 5 (1986): 750. http://dx.doi.org/10.1364/josaa.3.000750.

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15

Mela, Christopher, Francis Papay, and Yang Liu. "Novel Multimodal, Multiscale Imaging System with Augmented Reality." Diagnostics 11, no. 3 (2021): 441. http://dx.doi.org/10.3390/diagnostics11030441.

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A novel multimodal, multiscale imaging system with augmented reality capability were developed and characterized. The system offers 3D color reflectance imaging, 3D fluorescence imaging, and augmented reality in real time. Multiscale fluorescence imaging was enabled by developing and integrating an in vivo fiber-optic microscope. Real-time ultrasound-fluorescence multimodal imaging used optically tracked fiducial markers for registration. Tomographical data are also incorporated using optically tracked fiducial markers for registration. Furthermore, we characterized system performance and regi
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16

Hogarth, D. Kyle. "Use of augmented fluoroscopic imaging during diagnostic bronchoscopy." Future Oncology 14, no. 22 (2018): 2247–52. http://dx.doi.org/10.2217/fon-2017-0686.

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17

Wang, Jingang, Xiao Xiao, Hong Hua, and Bahram Javidi. "Augmented Reality 3D Displays With Micro Integral Imaging." Journal of Display Technology 11, no. 11 (2015): 889–93. http://dx.doi.org/10.1109/jdt.2014.2361147.

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18

O’Reilly, M. K., P. J. Heagerty, L. S. Gold, D. F. Kallmes, and J. G. Jarvik. "Augmented Reality." American Journal of Neuroradiology 41, no. 8 (2020): E67—E68. http://dx.doi.org/10.3174/ajnr.a6587.

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19

Culp, William, and Timothy McCowan. "Ultrasound Augmented Thrombolysis." Current Medical Imaging Reviews 1, no. 1 (2005): 5–12. http://dx.doi.org/10.2174/1573405052953074.

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20

Tajmir, Shahein H., and Tarik K. Alkasab. "Toward Augmented Radiologists." Academic Radiology 25, no. 6 (2018): 747–50. http://dx.doi.org/10.1016/j.acra.2018.03.007.

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21

Elibol, Funda Dinç, Cenk Elibol, Ferda Bacaksizlar Sari, and Okay Nazli. "Multimodality imaging features of augmented breasts via AQUAfilling gel injection: an imaging challenge." Journal of Aesthetic Nursing 10, no. 1 (2021): 11–12. http://dx.doi.org/10.12968/joan.2021.10.1.11.

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22

Kohli, Anirudh. "AI in Medical Imaging: Current and Future Status—Artificial Intelligence or Augmented Imaging?" Indian Journal of Radiology and Imaging 31, no. 03 (2021): 525–26. http://dx.doi.org/10.1055/s-0041-1740168.

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23

Ai, Danni, Jian Yang, Jingfan Fan, et al. "Augmented reality based real-time subcutaneous vein imaging system." Biomedical Optics Express 7, no. 7 (2016): 2565. http://dx.doi.org/10.1364/boe.7.002565.

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24

HE, Z., M. VERANI, and X. LIU. "Nitrate-augmented myocardial imaging for assessment of myocardial viability." Journal of Nuclear Cardiology 2, no. 4 (1995): 352–57. http://dx.doi.org/10.1016/s1071-3581(05)80081-9.

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25

Deng, Huan, Qiong-Hua Wang, Zhao-Long Xiong, Han-Le Zhang, and Yan Xing. "Magnified augmented reality 3D display based on integral imaging." Optik 127, no. 10 (2016): 4250–53. http://dx.doi.org/10.1016/j.ijleo.2016.01.185.

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26

Laviada, Jaime, Miguel Lopez-Portugues, Ana Arboleya-Arboleya, and Fernando Las-Heras. "Multiview mm-Wave Imaging With Augmented Depth Camera Information." IEEE Access 6 (2018): 16869–77. http://dx.doi.org/10.1109/access.2018.2816466.

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27

Deebika, D. "Augmented Reality Advancement X-Ray Imaging Medical Reality scanning." Biomedical and Pharmacology Journal 8, no. 1 (2015): 371–77. http://dx.doi.org/10.13005/bpj/623.

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28

YEN, T. C., K. L. KING, S. L. CHANG, and S. H. YEH. "Morphine-augmented versus CCK-augmented cholescintigraphy in diagnosing acute cholecystitis." Nuclear Medicine Communications 16, no. 2 (1995): 84–87. http://dx.doi.org/10.1097/00006231-199502000-00004.

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29

Tao Chenning, 陶陈凝, та 郑臻荣 Zheng Zhenrong. "面向手术导航的增强现实计算光谱成像系统". Laser & Optoelectronics Progress 59, № 20 (2022): 2011014. http://dx.doi.org/10.3788/lop202259.2011014.

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30

Diyasa, I. Gede Susrama Mas, Victor Immanuel Sunarko, Eva Yulia Puspaningrum, Vaizal Asy'ari, and Mohd Zamri Ibrahim. "Optimization of Multi-Section and Partially Augmented Magnetic Resonance Imaging (MRI) Images for Brain Tumor Classification Using ResNet-50." CommIT (Communication and Information Technology) Journal 19, no. 1 (2025): 115–28. https://doi.org/10.21512/commit.v19i1.12467.

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Brain tumor diagnosis is challenging due to complex brain anatomy and tumor variability across imaging views. Traditional methods are manual and error-prone, making deep learning, particularly ResNetbased Convolutional Neural Network (CNN), essential for improving accuracy. The research investigates the enhancement of brain tumor classification using Magnetic Resonance Imaging (MRI) images through a novel modification of the ResNet50 model. It specifically addresses data imbalance challenges in medical image analysis. By proposing a targeted approach to partial data augmentation, the researche
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31

von der Heide, Anna Maria, Pascal Fallavollita, Lejing Wang, et al. "Camera-augmented mobile C-arm (CamC): A feasibility study of augmented reality imaging in the operating room." International Journal of Medical Robotics and Computer Assisted Surgery 14, no. 2 (2017): e1885. http://dx.doi.org/10.1002/rcs.1885.

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32

Kaibara, Taro, R. John Hurlbert, and Garnette R. Sutherland. "Intraoperative magnetic resonance imaging–augmented transoral resection of axial disease." Neurosurgical Focus 10, no. 2 (2001): 1–4. http://dx.doi.org/10.3171/foc.2001.10.2.5.

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Object Because transoral decompression of the cervicomedullary junction is compromised by a narrow surgical corridor, the adequacy of decompression/resection may be difficult to determine. This is problematic as spinal hardware may obscure postoperative radiological assessment, or the patient may require reoperation. The authors report three patients in whom high-field intraoperative magnetic resonance (MR) images were acquired at various stages during the transoral resection of C-2 lesions causing craniocervical junction compression. Methods In all three patients the lesions involved the cerv
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33

Douglas, David, Emanuel Petricoin, Lance Liotta, and Eugene Wilson. "D3D augmented reality imaging system: proof of concept in mammography." Medical Devices: Evidence and Research Volume 9 (August 2016): 277–83. http://dx.doi.org/10.2147/mder.s110756.

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34

Eghbalzadeh, Kaveh, Elmar W. Kuhn, Anton Sabashnikov, et al. "“Vascular Outlining”: Augmented Imaging for Transfemoral Access—A Preclinical Investigation." Thoracic and Cardiovascular Surgeon 68, no. 02 (2018): 158–61. http://dx.doi.org/10.1055/s-0038-1629922.

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Abstract Background Advanced visualization software tools have been used in clinics to improve the safety and accuracy of transcatheter procedure. Imaging techniques have greatly evolved during the era of transcatheter aortic valve implantation (TAVI). In a retrospective analysis, we investigated the feasibility of augmented fluoroscopy for iliofemoral access using a novel “Vascular Outlining” roadmapping technology. Methods The Vascular Outlining prototype device (Philips Healthcare) application was used with iliofemoral angiography of 10 patients undergoing transfemoral TAVI. The software pr
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35

Gorczyca, David P. "Magnetic Resonance Imaging of the Augmented Breast and Breast Tumors." Breast Journal 2, no. 1 (1996): 18–22. http://dx.doi.org/10.1111/j.1524-4741.1996.tb00060.x.

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36

Guven, H. Emre, Alper Gungor, and Mujdat Cetin. "An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging." IEEE Transactions on Computational Imaging 2, no. 3 (2016): 235–50. http://dx.doi.org/10.1109/tci.2016.2580498.

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37

Schiavina, R., A. Angiolini, L. Bianchi, et al. "Imaging guided surgery with augmented reality for robotic partial nephrectomy." European Urology Open Science 19 (July 2020): e2412. http://dx.doi.org/10.1016/s2666-1683(20)34267-1.

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38

Zou, Jing, Ilmari Pyykkö, and Jari Hyttinen. "Inner ear barriers to nanomedicine-augmented drug delivery and imaging." Journal of Otology 11, no. 4 (2016): 165–77. http://dx.doi.org/10.1016/j.joto.2016.11.002.

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39

Abi-Aad, Karl R., Ahmad Kareem Almekkawi, Evelyn Turcotte, et al. "Utility of Augmented Reality Imaging (GLOW800) in Resection of Hemangioblastoma." World Neurosurgery 136 (April 2020): 294. http://dx.doi.org/10.1016/j.wneu.2019.12.090.

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40

Bayat, Nozhan, and Puyan Mojabi. "A Multiplicative Regularizer Augmented With Spatial Priors for Microwave Imaging." IEEE Transactions on Antennas and Propagation 69, no. 1 (2021): 606–11. http://dx.doi.org/10.1109/tap.2020.2998913.

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41

Zhang, Han-Le, Huan Deng, Wen-Tao Yu, Min-Yang He, Da-Hai Li, and Qiong-Hua Wang. "Tabletop augmented reality 3D display system based on integral imaging." Journal of the Optical Society of America B 34, no. 5 (2017): B16. http://dx.doi.org/10.1364/josab.34.000b16.

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42

Sorrentino, S., R. Schmidt, P. Donlan, R. Muto, M. Muto, and P. Blasig. "Imaging of the augmented and reconstructed breast: a retrospective study." European Radiology 4, no. 4 (1994): 364–70. http://dx.doi.org/10.1007/bf00599072.

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43

Aman, K. P., A. A. Mussina, A. D. Kaipova, and D. D. Eleubaeva. "USING VIRTUAL AND AUGMENTED REALITY TECHNOLOGIES IN THE IMAGING PROCESS." МАТЕМАТИКА, ФИЗИКА ЖӘНЕ ИНФОРМАТИКАНЫ ОҚЫТУДЫҢ ӨЗЕКТІ МӘСЕЛЕЛЕРІ 9, no. 1 (2025): 25–33. https://doi.org/10.52081/mpimet.2025.v09.i1.050.

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Кеңістіктік ойлау кеңістікте объектілерді немесе өзімізді физикалық, психикалық түрде орналастыруды және жылжытуды қамтиды. Шын мәнінде, бұл термин ұғымдардың, құралдардың және процестердің айтарлықтай санын білдіреді. Ұлттық зерттеу кеңесінің мәліметі бойынша, кеңістіктік ойлау үш құрамдас бөлікті қамтиды: кеңістіктік ұғымдар, бейнелеу құралдары және ойлау процестері. Мұның бәрі кеңістіктік құрылымдардың ішіндегі және арасындағы қарымқатынастарды түсінуді білдіреді және мүмкін болатын бейнелердің кең ауқымы арқылы сызбалардан компьютерлік модельдерге дейін және коммуникация құралдарын қамтиды
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44

CABANA, M. D., A. ALAVI, J. A. BERLIN, J. A. SHEA, C. K. KIM, and S. V. WILLIAMS. "Morphine-augmented hepatobiliary scintigraphy." Nuclear Medicine Communications 16, no. 12 (1995): 1068–71. http://dx.doi.org/10.1097/00006231-199512000-00013.

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45

Coleman-Belin, Janet C., Joshua Barnett, Nima Khavanin, Jonas A. Nelson, Carrie S. Stern, and Robert J. Allen. "Imaging in Autologous Breast Reconstruction." Cancers 16, no. 16 (2024): 2851. http://dx.doi.org/10.3390/cancers16162851.

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The evolution of imaging actively shapes clinical management in the field. Ultrasonography (US), computed tomography angiography (CTA), and magnetic resonance angiography (MRA) stand out as the most extensively researched imaging modalities for ABR. Ongoing advancements include “real-time” angiography and three-dimensional (3D) surface imaging, and future prospects incorporate augmented or virtual reality (AR/VR) and artificial intelligence (AI). These technologies may further enhance perioperative efficiency, reduce donor-site morbidity, and improve surgical outcomes in ABR.
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46

Yao, Junlie, Fang Zheng, Fang Yang, et al. "An intelligent tumor microenvironment responsive nanotheranostic agent for T1/T2 dual-modal magnetic resonance imaging-guided and self-augmented photothermal therapy." Biomaterials Science 9, no. 22 (2021): 7591–602. http://dx.doi.org/10.1039/d1bm01324f.

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47

Lee, Seung Hyun, Yu Hua Quan, Min Sub Kim, et al. "Design and Testing of Augmented Reality-Based Fluorescence Imaging Goggle for Intraoperative Imaging-Guided Surgery." Diagnostics 11, no. 6 (2021): 927. http://dx.doi.org/10.3390/diagnostics11060927.

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The different pathways between the position of a near-infrared camera and the user’s eye limit the use of existing near-infrared fluorescence imaging systems for tumor margin assessments. By utilizing an optical system that precisely matches the near-infrared fluorescence image and the optical path of visible light, we developed an augmented reality (AR)-based fluorescence imaging system that provides users with a fluorescence image that matches the real-field, without requiring any additional algorithms. Commercial smart glasses, dichroic beam splitters, mirrors, and custom near-infrared came
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48

Schawkat, Khoschy, Michael Ith, Andreas Christe, et al. "Dynamic non-invasive ASL perfusion imaging of a normal pancreas with secretin augmented MR imaging." European Radiology 28, no. 6 (2018): 2389–96. http://dx.doi.org/10.1007/s00330-017-5227-8.

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49

Dell'Aversana, Paolo. "An expanded idea of imaging in geophysics through multimodal data analysis." Leading Edge 42, no. 8 (2023): 550–56. http://dx.doi.org/10.1190/tle42080550.1.

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In situations where visual stimuli are uncertain or degraded, auditory perception is crucial and can complement visual perception. Research on multimodal perception has confirmed in many areas of study that the existence of one stimulus can impact the perception of another type of stimulus. Based on these concepts, which are well-established in cognitive sciences, we introduce the idea of expanded (or augmented) imaging in geophysics, which refers to an integrated and coherent data representation based on dual-sensory (audiovisual) perception of the same data set. First, we explain the basic p
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50

Kumar, Rahul, Kyle Sporn, Aryan Borole, et al. "Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease." Diagnostics 15, no. 11 (2025): 1418. https://doi.org/10.3390/diagnostics15111418.

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Degenerative joint disease remains a leading cause of global disability, with early diagnosis posing a significant clinical challenge due to its gradual onset and symptom overlap with other musculoskeletal disorders. This review focuses on emerging diagnostic strategies by synthesizing evidence specifically from studies that integrate biochemical biomarkers, advanced imaging techniques, and machine learning models relevant to osteoarthritis. We evaluate the diagnostic utility of cartilage degradation markers (e.g., CTX-II, COMP), inflammatory cytokines (e.g., IL-1β, TNF-α), and synovial fluid
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