All Articles

Editorial Commentary 
Generative artificial intelligence (AI) use and depressive symptoms: why interpretation requires caution
Jaewon Lee
Journal of Medical Artificial Intelligence  
2026;
9:
58
.
Editorial Commentary 
AI electrocardiogram-derived age: a step toward more physiological risk stratification in coronary artery bypass patients
Yoshiyuki Takami
Journal of Medical Artificial Intelligence  
2026;
9:
57
.
Editorial Commentary 
Artificial intelligence detection of pancreatic cancer: lessons from the PANORAMA study
Parker B. Hunsaker, Eri G. Osta, John Virostko
Journal of Medical Artificial Intelligence  
2026;
9:
56
.
Review Article 
Non-diagnostic generative artificial intelligence in otolaryngology: a narrative review of evidence, risks, and implementation
Jacob E. Karni, Rebecca Attal, Armin Farzad, Sholem Hack
Journal of Medical Artificial Intelligence  
2026;
9:
55
.
Review Article 
Artificial intelligence in orthodontics: a narrative review of clinical and educational applications
Anmar Arab, Abubaker Qutieshat
Journal of Medical Artificial Intelligence  
2026;
9:
54
.
Original Article 
What matters when generative artificial intelligence enters the clinic: a clinician-centered evaluation of ChatGPT, Gemini and Copilot in radiation oncology
Upol Ehsan, Brian S. Jang, Todd R. McNutt, Sara R. Alcorn
Journal of Medical Artificial Intelligence  
2026;
9:
53
.
Original Article 
Toward computational assessment of scientific justification across biomedical research lifecycles
Sankalpa Ghose, Insoo Hyun
Journal of Medical Artificial Intelligence  
2026;
9:
52
.
Original Article 
Novel sentiment positivity index: natural language processing of online patient forums for atopic dermatitis
Karan Rajalingam, Nicole Levin, Mary Hedges, Abdallah El Sabbagh, Li Zhuo, Leila Tolaymat
Journal of Medical Artificial Intelligence  
2026;
9:
51
.
Original Article 
A data driven analysis of maternal health risk indicators using machine learning techniques
Prottoy Saha, Mohammad Rakib, Fardin Abu Ubaid, Muhtasib Ibtida Kousik, Syeda Anika Tasnim, Rifath Mahmud, Tanvir Ahmed
Journal of Medical Artificial Intelligence  
2026;
9:
50
.
Original Article 
Quality assessment of ChatGPT-3.5—generated patient information leaflets in vascular surgery
Mark Twyford, Brian Fahey, Colum Keohane, Daniel Westby, J. Donagh Healy, Stewart W. Walsh
Journal of Medical Artificial Intelligence  
2026;
9:
49
.
Letter to the Editor 
Reconsidering economic barriers in artificial intelligence adoption in healthcare
Andrea Carolina Munive
Journal of Medical Artificial Intelligence  
2026;
9:
48
.
Editorial Commentary 
How far can DeepSeek-R1 and OpenAI see in ophthalmology diagnosis and decision making?
Meltem Yashar, Yannis M. Paulus
Journal of Medical Artificial Intelligence  
2026;
9:
47
.
Editorial Commentary 
Artificial intelligence’s gold rush moment: when innovation meets inflation
Ali Zifan
Journal of Medical Artificial Intelligence  
2026;
9:
46
.
Review Article 
Artificial intelligence–powered magnetic resonance imaging reconstruction: methods, challenges, and emerging trends—a narrative review
Anjana Joshi, Vettavalam Subramanian Krushnasamy
Journal of Medical Artificial Intelligence  
2026;
9:
44
.
Original Article 
Investigating the effectiveness of an artificial intelligence-enhanced physical therapy and home exercise program on knee pain: a pilot study
Eugene Y. Roh, Matthew W. Kaufman, Chantal Nguyen, Hye-Jin Clark, Saekwang Kwon
Journal of Medical Artificial Intelligence  
2026;
9:
43
.
Original Article 
A real-time artificial intelligence-integrated system (DrAidTM Endo) feasibility in identifying anatomical landmarks and detecting upper gastrointestinal tract lesions: a randomized controlled trial
Hang Viet Dao, Hoang Ngoc Nguyen, Giap Quy Duong, Duc Anh Tran, Hoang Viet Nguyen, Kien Trung Dao, Minh Ngoc Tran, Binh Phuc Nguyen, Tung Thanh Nguyen, Hoa Ngoc Lam, Trang Thi Huyen Nguyen, Long Bao Hoang, Steven Quoc Hung Truong, Long Van Dao
Journal of Medical Artificial Intelligence  
2026;
9:
42
.
Original Article 
Outlier-robust self-training for semi-supervised clavicle semantic segmentation in computed tomography images
Seung-Jin Kong, Hee-Cheol Kim, Tleuliyev Azat, Dong-Hyun Kim
Journal of Medical Artificial Intelligence  
2026;
9:
41
.
Letter to the Editor 
Interpretability and external validation remain key barriers to clinical integration of multimodal deep learning for breast cancer prognosis
Isabella Andrea Bolaños Bermúdez, Humberto Antonio Rivera
Journal of Medical Artificial Intelligence  
2026;
9:
40
.
Editorial Commentary 
The DeepSeek-R1 moment: democratized intelligence, prompt vulnerabilities, and the dawn of agentic ophthalmology
Joon Yul Choi, Tae Keun Yoo
Journal of Medical Artificial Intelligence  
2026;
9:
39
.
Mini-Review 
Current state of Food and Drug Administration-approved artificial intelligence/machine learning medical devices: pathways, transparency, and evidence gaps
Aditya Loganathan, Michael Friedman, Tayab Waseem, Kaylee Wahl-Cox, Shreya Kodu, Zara Sideeka, Sarah Shectman, Ali Watson, Aya Shehata, Nicolas Stanciu, Molly Rutenberg, Leslie Gailloud, Nicholas Melucci, Daniel I. Shpigel, Andrew C. Meltzer
Journal of Medical Artificial Intelligence  
2026;
9:
38
.
Review Article 
The utilization of artificial intelligence (AI) and machine learning (ML) for health in Nigeria: a rapid review
Terna Nomhwange, Joseph Enegela, Akyala Ishaku
Journal of Medical Artificial Intelligence  
2026;
9:
37
.
Review Article 
Artificial intelligence-augmented electrocardiogram for heart failure diagnosis and risk prediction: a narrative review
Dimitri Chepkunov, Daye Chung, Kimia Ghanbari, Bhumika Khanna, Neri Yakubov, Myoungmee Babu, Benson Babu
Journal of Medical Artificial Intelligence  
2026;
9:
36
.
Review Article 
Artificial intelligence applications for breast cancer diagnosis in ultrasound: a narrative review
Dimitri Chepkunov, Marvelious Erivwo, Vignesh Sastri, Ochuwa Tisor, Neriy Yakoubov, Myoungee Babu, Benson Babu
Journal of Medical Artificial Intelligence  
2026;
9:
35
.
Original Article 
Deep learning precise image reconstruction algorithm for abdominal CT: impact on image quality and radiation dose reduction—a model validation study
Xiaojing Liu, Xianying Ning, Tian Liao, Shen Gui, Hongying Wu, Ziqiao Lei
Journal of Medical Artificial Intelligence  
2026;
9:
34
.