Checklist for Artificial Intelligence in Medical Imaging (CLAIM): a guide for authors and reviewers

Cited by (1,001)

Items 601–700 of 1,001

1. The Evidence for Using Artificial Intelligence to Enhance Prostate Cancer MR Imaging
   Rodrigo Canellas, Marc D. Kohli, Antonio C. Westphalen · 2023 · Current Oncology Reports
2. Radiomics and Machine Learning for prediction of two-year disease-specific mortality and KRAS mutation status in metastatic colorectal cancer
   María Agustina Ricci Lara, Marco Iván Esposito, Martina Aineseder, Roy López Grove, M. Cerini, María Alicia Verzura, Daniel Roberto Luna, Sonia Benítez, Juan Carlos Spina · 2023 · Surgical Oncology
3. Validation of artificial intelligence contrast mammography in diagnosis of breast cancer: Relationship to histopathological results
   Maha Helal, Rana Khaled, Omar Alfarghaly, Omnia Mokhtar, Abeer ElKorany, Aly Fahmy, Hebatalla El Kassas · 2024 · European Journal of Radiology
4. Artificial Intelligence
   Fatih Demir · 2022 · Public administration and information technology
5. Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation study
   Walston, Shannon L, Matsumoto, Toshimasa, Miki, Yukio, Ueda, Daiju · 2022 · The British Journal of Radiology
6. mlf-core: a framework for deterministic machine learning
   Lukas Heumos, Philipp Ehmele, Luis Kuhn Cuellar, Kevin Menden, E. Miller, Steffen Lemke, Gisela Gabernet, Sven Nahnsen · 2023 · Bioinformatics
7. Machine learning for malignant versus benign focal liver lesions on US and CEUS: a meta-analysis
   Carlos Alberto Campello Jorge, Everton Bruno Castanha, Marina Vilardo, Pedro V. Staziaki, Martina Zaguini Francisco, Bahram Mohajer, Guilherme Watte, Fábio Ynoe de Moraes, Bruno Hochhegger a, Stephan Altmayer · 2023 · Abdominal Radiology
8. Diagnostic Accuracy of Artificial Intelligence-Based Algorithms in Automated Detection of Neck of Femur Fracture on a Plain Radiograph: A Systematic Review and Meta-analysis
   Manish Raj, Arshad Ayub, Arup Kumar Pal, Jitesh Pradhan, Naushad Varish, Sumit Kumar, Seshadri Reddy Varikasuvu · 2024 · Indian Journal of Orthopaedics
9. Artificial intelligence-based tools with automated segmentation and measurement on CT images to assist accurate and fast diagnosis in acute pancreatitis
   X.J. Pan, Kaijian Jiao, Xinyu Li, Linshuang Feng, Yige Tian, Lei Wu, Peng Zhang, Kejun Wang, Suping Chen, Bo Yang et al. · 2024 · British Journal of Radiology
10. No code machine learning: validating the approach on use-case for classifying clavicle fractures
    Giridhar Dasegowda, Jefferson Koji Sato, Daniel C. Elton, Emiliano Garza-Frias, Thomas Schultz, Christopher P. Bridge, Bernardo Canedo Bizzo, Mannudeep K. Kalra, Keith J. Dreyer · 2024 · Clinical Imaging
11. Artificial intelligence can be used in the identification and classification of shoulder osteoarthritis and avascular necrosis on plain radiographs: a training study of 7,139 radiograph sets
    Martin Magnéli, Michael Axenhus, Johan Fagrell, Petter Ling, Jacob Gislén, Yilmaz Demir, Erica Domeij-Arverud, Kristofer Hallberg, Björn Salomonsson, Max Gordon · 2024 · Acta Orthopaedica
12. Performance of an AI-powered visualization software platform for precision surgery in breast cancer patients
    Michelle Weitz, John R. Pfeiffer, Snehal Patel, Matthew Biancalana, Arda Pekis, Vignesh Kannan, Evandros Kaklamanos, Amanda Parker, Jesse E. Bucksot, José Rubio Romera et al. · 2024 · npj Breast Cancer
13. Annotation-free multi-organ anomaly detection in abdominal CT using free-text radiology reports: a multi-centre retrospective study
    Junya Sato, Kento Sugimoto, Yuki Suzuki, Tomohiro Wataya, Kosuke Kita, Daiki Nishigaki, Miyuki Tomiyama, Yu Hiraoka, Masatoshi Hori, Toshihiro Takeda et al. · 2024 · EBioMedicine
14. Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI
    Clemens P. Spielvogel, Jing Ning, Kilian Kluge, David Haberl, Gabriel Wasinger, Josef Yu, Holger Einspieler, László Papp, Bernhard Grubmüller, Shahrokh François Shariat et al. · 2024 · Insights into Imaging
15. Detection of Intracranial Hemorrhage from Computed Tomography Images: Diagnostic Role and Efficacy of ChatGPT-4o
    Mustafa Koyun, Zeycan Kübra Cevval, Bahadır Reis, Bünyamin Ece · 2025 · Diagnostics
16. Deep Learning in Thoracic Oncology: Meta-Analytical Insights into Lung Nodule Early-Detection Technologies
    Tingwei Wang, Chih-Keng Wang, Jia‐Sheng Hong, Heng‐Sheng Chao, Yuh‐Min Chen, Yu‐Te Wu · 2025 · Cancers
17. Automated longitudinal treatment response assessment of brain tumors: A systematic review
    Tangqi Shi, Aaron Kujawa, C. Arenas Linares, Tom K. Vercauteren, Thomas Calvert Booth · 2025 · Neuro-Oncology
18. Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound
    Adil Oezsoy, James Alexander Brooks, Marko van Treeck, Yvonne Dörffel, Ulrike Morgera, Jens Berger, Marco Gustav, Oliver Lester Saldanha, Tom Luedde, Jakob Nikolas Kather et al. · 2025 · Digestion
19. Artificial intelligence in airway management: A systematic review and meta-analysis
    Mohammed Fawzi Abosamak, Hany A Zaki, Eman Essam Shaban, Amira Shaban, Ahmed Shaban, Haitham Hodhod, Benny Ponappan · 2025 · Anaesthesia Critical Care & Pain Medicine
20. Lack of methodological rigor and limited coverage of generative artificial intelligence in existing artificial intelligence reporting guidelines: a scoping review
    Xufei Luo, Bingyi Wang, Qianling Shi, Zijun Wang, Honghao Lai, Hui Liu, Yishan Qin, Fengxian Chen, Xuping Song, Long Ge et al. · 2025 · Journal of Clinical Epidemiology
21. Integrating Peritumoral and Intratumoral Radiomics with Deep Learning for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer Using DCE-MRI
    Qiaomei Zhao, Hui Zhang, Wei Xing · 2025 · Technology in Cancer Research & Treatment
22. The Transparent Reporting and Evaluation of Artificial Intelligence Models (TRUE-AIM) Report Card: A Quality Assurance Initiative of the American Heart Association Journals to Promote High-Quality, Reproducible Artificial Intelligence Research
    Márton Kolossváry, Eric Edward Smith, Mathew J. Reeves, Anita T. Layton, Nicholas L. Mills, Manish Motwani, Shinya Goto, Neil Atkins · 2025 · Circulation
23. Precision Assessment of Facial Asymmetry Using 3D Imaging and Artificial Intelligence
    Mohamed Adel, Katie Jo Hunt, Daniel L. Lau, James Kennedy Hartsfield, Hugo Reyes‐Centeno, Cynthia S. Beeman, Tarek Elshebiny, Lina Sharab · 2025 · Journal of Clinical Medicine
24. Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
    Yiyang Huang, Wangrui Peng, Huai Yang, Zichao Liu, Tingyu Zhang, Linyuan Jin, Wen He, Meng Du, Zhiyi Chen · 2025 · Cancer Imaging
25. Images Are Data: A Breast Imaging Perspective on a Contemporary Paradigm
    Matthias Dietzel, Paola Clauser, Panagiotis Kapetas, Rüdiger Schulz‐Wendtland, Pascal Baltzer · 2021 · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
26. Deep Learning to Classify AL versus ATTR Cardiac Amyloidosis MR Images
    Philippe Germain, Armine Vardazaryan, Aïssam Labani, Nicolas Padoy, Catherine Roy, Soraya El Ghannudi · 2023 · Biomedicines
27. Artificial Intelligence Applications in Glioma With 1p/19q Co‐Deletion: A Systematic Review
    Simin Zhang, Lijuan Yin, Lu Ma, Huaiqiang Sun · 2023 · Journal of Magnetic Resonance Imaging
28. A deep learning framework to scale linear facial measurements to actual size using horizontal visible iris diameter: a study on an Iranian population
    Zeynab Pirayesh, Sahel Hassanzadeh-Samani, Arash Farzan, Mohammad Hossein Rohban, Mohammad Soroush Ghorbanimehr, Hossein Mohammad‐Rahimi, Saeed Reza Motamedian · 2023 · Scientific Reports
29. Assessing robustness and generalization of a deep neural network for brain MS lesion segmentation on real-world data
    Hernán Chaves, Mercedes Serra, Diego E. Shalóm, Pilar Ananía, Fernanda Rueda, Emilia Osa Sanz, Nadia Ivanna Stefanoff, Sofia Rodríguez Murúa, Martín Elías Costa, Felipe Kitamura et al. · 2023 · European Radiology
30. Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction
    Jan Lost, Tej Verma, Leon Jekel, Marc von Reppert, Niklas Tillmanns, Sara Merkaj, Gabriel Cassinelli Petersen, Ryan C. Bahar, Ayyüce Gordem, Muhammad Ammar Haider et al. · 2023 · American Journal of Neuroradiology
31. An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms
    Blair Edward Warren, Alexander Bilbily, Judy Wawira Gichoya, Lucas Brien Chartier, Aly Fawzy, Camilo Barragán, Arash Jaberi, Sebastian Charles Mafeld · 2024 · Canadian Association of Radiologists Journal
32. A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head Computed Tomography Scans After Aneurysmal Subarachnoid Hemorrhage
    Sergio García-García, Santiago Cepeda, Ignacio Arrese, Rosario Sarabia · 2024 · World Neurosurgery
33. Diagnostic test accuracy of artificial intelligence analysis of cross-sectional imaging in pulmonary hypertension: a systematic literature review
    Conor Hardacre, Joseph A Robertshaw, Shaney Louise Barratt, Hannah L Adams, Robert V. MacKenzie Ross, Graham Robinson, Jay Suntharalingam, John David Pauling, Jonathan C. L. Rodrigues · 2021 · British Journal of Radiology
34. Deep learning‐based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
    Christian Jamtheim Gustafsson, Michael Lempart, Johan Swärd, Emilia Persson, Tufve Nyholm, Camilla Thellenberg Karlsson, Jonas Bengtsson Scherman · 2021 · Journal of Applied Clinical Medical Physics
35. Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries
    Niklas Tillmanns, Avery Lum, Gabriel Cassinelli Petersen, Sara Merkaj, Tej Verma, Tal Zeevi, Lawrence H. Staib, Harry E. Subramanian, Ryan C. Bahar, Waverly Rose Brim et al. · 2022 · Neuro-Oncology Advances
36. Quality assessment of stroke radiomics studies: Promoting clinical application
    Beomseok Sohn, So Yeon Won · 2023 · European Journal of Radiology
37. Assessing the Feasibility of Using Artificial Intelligence–Segmented Dominant Intraprostatic Lesion for Focal Intraprostatic Boost With External Beam Radiation Therapy
    James Man Git Tsui, Christopher E. Kehayias, Jonathan Eric Leeman, Paul Linh Nguyen, Luke C. Peng, David Dewei Yang, Shalini Moningi, Neil E. Martin, Peter F. Orio, Anthony Victor D'Amico et al. · 2023 · International Journal of Radiation Oncology*Biology*Physics
38. On the Centrality of Data: Data Resources in Radiologic Artificial Intelligence
    John Mongan, Safwan S. Halabi · 2023 · Radiology Artificial Intelligence
39. Leveraging GANs for data scarcity of COVID-19: Beyond the hype
    Hazrat Ali, Christer Grönlund, Zubair Shah · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
40. Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature
    Deeksha Bhalla, Krithika Rangarajan, Tany Chandra, Subhashis Banerjee, Chetan Arora · 2023 · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging
41. Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review
    Elzbieta Budginaite, Derek Magee, Maximilian Kloft, Henry C. Woodruff, Heike Irmgard Grabsch · 2024 · Journal of Pathology Informatics
42. Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta‐analysis
    Richard Dagher, Burak Berksu Ozkara, Mert Karabacak, Samir A. Dagher, Elijah Isaac Rumbaut, Licia Luna, Vivek Srikar Yedavalli, Max Wintermark · 2024 · Journal of Neuroimaging
43. Multicenter validation of synthetic FLAIR as a substitute for FLAIR sequence in acute ischemic stroke
    Guillaume Hamon, Laurence Legrand, Ghazi Hmeydia, Guillaume Turc, Wagih Ben Hassen, Sylvain Charron, Clément Debacker, Olivier N. Naggara, Bertrand Thirion, Bailiang Chen et al. · 2024 · European Stroke Journal
44. Real-time artificial intelligence-based texture analysis of muscle ultrasound data for neuromuscular disorder assessment
    Yoshikatsu Noda, Kenji Sekiguchi, Shun Matoba, Hirotomo Suehiro, Katsuya Nishida, Riki Matsumoto · 2024 · Clinical Neurophysiology Practice
45. Ethical, legal, and social issues (ELSI) and reporting guidelines of AI research in healthcare
    Junko Kameyama, Satoshi Kodera, Yusuke Inoue · 2024 · PLOS Digital Health
46. Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement
    Tarig Elhakim, Arian Mansur, Jordan K. Kondo, Omar M. Omar, Khalid Ahmed, Azadeh Tabari, Allison Brea, Gabrielle S. Ndakwah, Shams I. Iqbal, Andrew S. Allegretti et al. · 2024 · CardioVascular and Interventional Radiology
47. Performance of Commercial Deep Learning-Based Auto-Segmentation Software for Prostate Cancer Radiation Therapy Planning: A Systematic Review
    Curtise K. C. Ng · 2025 · Information
48. External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
    Mason J. Belue, Vaneeza Mukhtar, Roopa Ram, Neriman Gökden, Joe Jose, Jackson L. Massey, Emily Biben, Suryakala Buddha, Timothy Langford, Sumit Shah et al. · 2025 · Academic Radiology
49. Reporting Guidelines for Artificial Intelligence Use in Orthopaedic Surgery Research
    Cody C. Wyles, Sami Saniei, Kellen L. Mulford, Miguel M. Girod-Hoffman, Michael J. Taunton · 2025 · The Journal of Arthroplasty
50. Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach
    Parisa Motie, Ali Ashkan, Hossein Mohammad‐Rahimi, Sahel Hassanzadeh-Samani, Negar Razzaghi, Mohammad Behnaz, Shahriar Shahab, Saeed Reza Motamedian · 2025 · Imaging Science in Dentistry
51. Prediction of oncogene mutation status in non-small cell lung cancer: a systematic review and meta-analysis with a special focus on artificial intelligence-based methods
    Almudena Fuster-Matanzo, Alfonso Picó, Fuensanta Bellvís Bataller, Ana Jiménez-Pastor, Glen J. Weiss, Luis Martí‐Bonmatí, Antonio David Lazaro Sanchez, David Bazaga, Giuseppe Luigi Banna, Alfredo Addeo et al. · 2025 · European Radiology
52. Artificial Intelligence-Led Whole Coronary Artery OCT Analysis; Validation and Identification of Drug Efficacy and Higher-Risk Plaques
    Benn Jessney, Xu Chen, Sophie Zhaotao Gu, Yuan Huang, Martin J Goddard, Adam J. Brown, Daniel Rhys Obaid, Michael Mahmoudi, Héctor M. García‐García, Stephen Paul Hoole et al. · 2025 · Circulation Cardiovascular Imaging
53. Application of artificial intelligence in assisting treatment of gynecologic tumors: a systematic review
    Loufei Guo, Shuaitong Zhang, Hongbo Chen, Yifu Li, Yang Liu, Wancheng Liu, Qiang Wang, Zhenchao Tang, Ping Jiang, Junjie Wang · 2025 · Visual Computing for Industry Biomedicine and Art
54. Artificial Intelligence-Aided Tooth Detection and Segmentation on Pediatric Panoramic Radiographs in Mixed Dentition Using a Transfer Learning Approach
    Serena Incerti Parenti, Giorgio Tsiotas, Alessandro Maglioni, Giulia Lamberti, Andrea Fiordelli, Davide Rossi, Luciano Bononi, Giulio Alessandri Bonetti · 2025 · Diagnostics
55. Artificial intelligence in dermatology: a systematic review of skin cancer detection and classification
    Aaliya Ali, Bhawna Goyal, Vlad Monescu, Ayush Dogra, Gadug Sudhamsu, D. Jude Hemanth · 2025 · Engineering Research Express
56. Clinical validation of an AI-assisted system for real-time kidney stone detection during flexible ureteroscopic surgery
    Chenfeng Wang, Haomin Liang, Hairui Chen, Rashid Khan, Donglai Shen, Haitao Liu, Dan Shen, Wei Wang, Jianwen Liu, Frédéric Panthier et al. · 2025 · npj Digital Medicine
57. Artificial intelligence for binary dental caries diagnosis using intraoral images and dental radiographs: a systematic review and meta-analysis
    Jing Lai, Shanshan Guo, Ke Wang, X.C. Li, Xin Yu, Xueman Wang · 2026 · BMC Oral Health
58. Image Quality Standardization in Radiomics: A Systematic Review of Artifacts, Variability, and Feature Stability
    Francesco Felicetti, Francesco Lamonaca, Domenico Luca Carnì, Sandra Costanzo · 2026 · Sensors
59. Automated detection of enteric tubes misplaced in the respiratory tract on chest radiographs using deep learning with two centre validation
    Dermot Henry Mallon, Cillian McNamara, George Rahmani, Declan P. O’Regan, D.G. Amiras · 2022 · Clinical Radiology
60. Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm
    Giridhar Dasegowda, Bernardo Canedo Bizzo, Parisa Kaviani, Lina Karout, Shadi Ebrahimian, Subba Rao Digumarthy, Nir Neumark, James Michael Hillis, Mannudeep K. Kalra, Keith J. Dreyer · 2023 · Diagnostics
61. A Radiomic “Warning Sign” of Progression on Brain MRI in Individuals with MS
    Brendan S. Kelly, Prateek Mathur, Gerard McGuinness, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Aonghus Lawlor, Ronan P. Killeen · 2024 · American Journal of Neuroradiology
62. Diagnostic performance of deep learning models versus radiologists in COVID-19 pneumonia: A systematic review and meta-analysis
    Mohammadreza Chavoshi, Sara Zamani, Seyed Ali Mirshahvalad · 2024 · Clinical Imaging
63. Deep learning-enabled detection of hypoxic–ischemic encephalopathy after cardiac arrest in CT scans: a comparative study of 2D and 3D approaches
    Noah Molinski, Martin Kenda, Christoph Leithner, Jens Nee, Christian Storm, Michael Scheel, Aymen Meddeb · 2024 · Frontiers in Neuroscience
64. Automated volumetric evaluation of intracranial compartments and cerebrospinal fluid distribution on emergency trauma head CT scans to quantify mass effect
    Tomasz Puzio, Katarzyna Matera, Karol Wiśniewski, Milena Grobelna, Sora Wanibuchi, Dariusz Jan Jaskólski, Ernest Jan Bobeff · 2024 · Frontiers in Neuroscience
65. Standardization, Collaboration, and Education in the Implementation of Artificial Intelligence in Otolaryngology
    Emily G. Evangelista, Yael E. Bensoussan · 2024 · Otolaryngologic Clinics of North America
66. Guidance for Interventional Trials Involving Artificial Intelligence
    Hugh Harvey, Luke Oakden‐Rayner · 2020 · Radiology Artificial Intelligence
67. Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI
    Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, Luciano Monte Serrat Prevedello · 2022 · Computerized Medical Imaging and Graphics
68. Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI Using Noisy Student-Based Training
    Engin Dikici, Xuan V. Nguyen, Matthew T. Bigelow, John Ryu, Luciano Monte Serrat Prevedello · 2022 · Diagnostics
69. The Lifelong Impact of Artificial Intelligence and Clinical Prediction Models on Patients With Tetralogy of Fallot
    Xander Jacquemyn, Shelby Kutty, Cedric Manlhiot · 2023 · CJC Pediatric and Congenital Heart Disease
70. Elements of a Good Radiology Artificial Intelligence Paper
    Bo Gong, Philippe A. Soyer, Matthew D. F. McInnes, Michael N. Patlas · 2022 · Canadian Association of Radiologists Journal
71. A survey of Paediatric Radiology Artificial Intelligence
    Brendan S. Kelly, Simon M. Clifford, Conor S. Judge, Stephanie M. Bollard, Gerard M. Healy, Hannah Hughes, Gabrielle Colleran, J.E. Rod, Edward H. Lee, Laura Marie Prolo et al. · 2024 · medRxiv
72. Deep learning to predict lymph node status on pre‐operative staging CT in patients with colon cancer
    Sergei Bedrikovetski, Jianpeng Zhang, Warren Seow, Luke Traeger, James W Moore, Johan W. H. Verjans, Gustavo Carneiro, Tarik Sammour · 2023 · Journal of Medical Imaging and Radiation Oncology
73. Deep Learning for Nasopharyngeal Carcinoma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
    Chih-Keng Wang, Tingwei Wang, Yaxuan Yang, Yu‐Te Wu · 2024 · Bioengineering
74. Good machine learning practices: Learnings from the modern pharmaceutical discovery enterprise
    Vladimir A. Makarov, Christophe D. Chabbert, Elina Koletou, Fotis E Psomopoulos, Natalja Kurbatova, Samuel A. Ramirez, Chas Nelson, Prashant Natarajan, Bikalpa Neupane · 2024 · Computers in Biology and Medicine
75. Deep Learning–Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study
    Chih‐Hung Wang, Tianyu Hwang, Yu‐Sen Huang, Joyce Tay, Cheng-Yi Wu, Meng‐Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang et al. · 2024 · Journal of Imaging Informatics in Medicine
76. Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
    Tingwei Wang, Jia‐Sheng Hong, Wei‐Kai Lee, Yi‐Hui Lin, Huai‐Che Yang, Cheng‐Chia Lee, Hung-Chieh Chen, Hsiu‐Mei Wu, Weir-Chiang You, Yu‐Te Wu · 2024 · Neuroinformatics
77. Deep Learning Models for Automatic Classification of Anatomic Location in Abdominopelvic Digital Subtraction Angiography
    Reza Moein Taghavi, Amol Shah, Vladimir Filkov, Roger E. Goldman · 2025 · Journal of Imaging Informatics in Medicine
78. Generative T2*-weighted images as a substitute for true T2*-weighted images on brain MRI in patients with acute stroke
    Antoine Pelcat, Alice Le Berre, Wagih Ben Hassen, Clément Debacker, Sylvain Charron, Bertrand Thirion, Laurence Legrand, Guillaume Turc, Catherine Oppenheim, Joseph Benzakoun · 2025 · Diagnostic and Interventional Imaging
79. Artificial Intelligence-Based Chatbots in Chronic Disease Management: A Systematic Review of Applications and Challenges
    Dalia Saad Altom, Allaa Ibrahim Awad Taha, Alaa Abu Agla Mahmoud Hussein, Maisoon Ahmed Ibrahim Elshiekh, Ashwag Hassan Abdelmajed, Fatima Ibrahim Abdalla Ibrahim, Sabah Mohammed, Mosab Mohamed Elamin Eltain Tifoor · 2025 · Cureus
80. Review and recommendations for using artificial intelligence in intracoronary optical coherence tomography analysis
    Xu Chen, Yuan Huang, Benn Jessney, Jason Sangha, Sophie Zhaotao Gu, Carola‐Bibiane Schönlieb, Martin R. Bennett, Michael T. Roberts · 2025 · European Heart Journal - Digital Health
81. Machine Learning for Chronic Kidney Disease Detection from Planar and SPECT Scintigraphy: A Scoping Review
    Dunja Vrbaški, Boban Vesin, Katerina Mangaroska · 2025 · Applied Sciences
82. Deep learning for diagnosing and grading pterygium: A systematic review and meta-analysis
    Ethan Wen Wei Tiong, Carine Y S Soon, Zun Zheng Ong, Su‐Hsun Liu, Riaz Qureshı, Saaeha Rauz, Darren Shu Jeng Ting · 2025 · Computers in Biology and Medicine
83. The Role of Artificial Intelligence and Radiomics in the Management of Lymphomas by PET/CT: The Clairvoyance in Clinic
    Chongling Duan, Lin An, Yong Yang, Lili Yuan, Yandong Zhu, Qian Han, Hongbing Ma, Fei Zhao, Qingqing Yu · 2025 · Cancer Management and Research
84. Machine Learning–Driven radiomics on 18 F-FDG PET for glioma diagnosis: a systematic review and meta-analysis
    Ali Shahriari, Sasan Ghazanfar Ahari, Ali Kazem Mousavi, Mahdie Sadeghi, Marjan Abbasi, Mahsa Hosseinpour, Asal Mir, Dorrin Zohouri Zanganeh, Hossein Gharedaghi, Saba Ezati et al. · 2025 · Cancer Imaging
85. Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x
    Rina Putri Noer Fadilah, Rasmi Rikmasari, Saiful Akbar, Arlétte Suzy Setiawan · 2025 · BMC Oral Health
86. Artificial intelligence in oral and maxillofacial surgery: a scoping review of clinical applications, ethical challenges, and legal considerations
    Giuseppe Consorti, Lisa Catarzi, Andrea Frosolini, Luigi Angelo Vaira, Umberto Committeri, Giulio Cirignaco · 2026 · International Journal of Oral and Maxillofacial Surgery
87. Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review
    Carole Koechli, Daniel R. Zwahlen, Philippe Schucht, Paul Y. Windisch · 2023 · European Journal of Radiology
88. A Review of Computer-Aided Diagnostic Algorithms for Cervical Neoplasia and an Assessment of Their Applicability to Female Genital Schistosomiasis
    Emily Jin, Julia Alison Noble, Mireille Gomes · 2023 · Mayo Clinic Proceedings Digital Health
89. Early Identification of Pathologic Complete Response to Neoadjuvant Chemotherapy Using Multiphase DCE‐MRI by Siamese Network in Breast Cancer: A Longitudinal Multicenter Study
    Yao Huang, Ying Jun Cao, Xiaofei Hu, Xiaosong Lan, Huifang Chen, Sun Tang, Lan Li, Yue Cheng, Xueqin Gong, Wei Wang et al. · 2023 · Journal of Magnetic Resonance Imaging
90. Sequence-Type Classification of Brain MRI for Acute Stroke Using a Self-Supervised Machine Learning Algorithm
    Seongwon Na, Yousun Ko, Su Jung Ham, Yu Sub Sung, Mi‐Hyun Kim, Youngbin Shin, Seung Chai Jung, Chung Ju, Byung Su Kim, Kyoungro Yoon et al. · 2023 · Diagnostics
91. Identification of L5 vertebra on lumbar spine radiographs using deep learning
    Jeoung Kun Kim, Min Cheol Chang, Wook-Tae Park, Gun Woo Lee · 2024 · Journal of International Medical Research
92. Effects of Interobserver Segmentation Variability and Intensity Discretization on MRI-Based Radiomic Feature Reproducibility of Lipoma and Atypical Lipomatous Tumor
    Salvatore Gitto, Renato Cuocolo, Vincenzo Giannetta, Julietta Badalyan, Filippo Di Luca, Stefano Fusco, Giulia Zantonelli, Domenico Albano, Carmelo Messina, Luca Maria Sconfienza · 2024 · Journal of Imaging Informatics in Medicine
93. Deep learning-based target tracking with X-ray images for radiotherapy: a narrative review
    Xi Liu, Li‐Sheng Geng, David T. Huang, Jing Cai, Ruijie Yang · 2024 · Quantitative Imaging in Medicine and Surgery
94. Prostate MRI for the detection of clinically significant prostate cancer: Update and future directions
    Shaun J. Trecarten, Abhijit G. Sunnapwar, Geoffrey D. Clarke, Michael Andre Liss · 2024 · Advances in cancer research
95. Measurement of the Acetabular Cup Orientation After Total Hip Arthroplasty Based on 3-Dimensional Reconstruction From a Single X-Ray Image Using Generative Adversarial Networks
    Akira Fujita, Koji Goto, Akihiko Ueda, Yutaka Kuroda, Toshiyuki Kawai, Yaichiro Okuzu, Yasushi Okuno, Shuichi Matsuda · 2024 · The Journal of Arthroplasty
96. Kidney, ureter, and urinary bladder segmentation based on non-contrast enhanced computed tomography images using modified U-Net
    Dong‐Hyun Jang, Juncheol Lee, Young-Jin Jeon, Young Eun Yoon, Hyungwoo Ahn, Bo-Kyeong Kang, Won Seok Choi, Jaehoon Oh, Dongkeon Lee · 2024 · Scientific Reports
97. Redefining precision: the current and future roles of artificial intelligence in spine surgery
    Ryan Turlip, Harmon Singh Khela, Mert Marcel Dagli, Daksh Chauhan, Yohannes G. Ghenbot, Hasan S. Ahmad, Jang Won Yoon · 2024 · Artificial Intelligence Surgery
98. Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods
    Frank J P Hoebers, Leonard Wee, Jirapat Likitlersuang, Raymond H. Mak, Danielle S. Bitterman, Yanqi Huang, Andre L.A.J. Dekker, Hugo J.W.L. Aerts, Benjamin Harris Kann · 2023 · BJR|Open
99. Predicting hemorrhagic transformation in acute ischemic stroke: a systematic review, meta-analysis, and methodological quality assessment of CT/MRI-based deep learning and radiomics models
    Mohsen Salimi, Pouria Vadipour, Amir Reza Bahadori, Shakiba Houshi, Ali Mirshamsi, Hossein Fatemian · 2025 · Emergency Radiology
100. Are Artificial Intelligence Challenges Becoming Radiology’s New “Bee’s Knees”?
     Hesham M. Elhalawani, Raymond H. Mak · 2021 · Radiology Artificial Intelligence