AI Medical Compendium

Performance of AI Tools in Citing Retracted Literature : Content Analysis.

Journal of medical Internet research May 1, 2026

BACKGROUND: Generative artificial intelligence (GenAI) tools are increasingly used in scientific research to support literature searches, evidence synthesis, and manuscript preparation. While these systems promise substantial efficiency gains, concer... read more

A Bilingual AI-Based Chatbot for Nutrition Education in a Food Is Medicine Intervention for High-Risk Pregnant Women: Design and Development Study.

JMIR formative research May 1, 2026

BACKGROUND: Conversational agents (artificial intelligence [AI]-based chatbots) offer a novel approach to health interventions by providing personalized, adaptive interactions that improve over time based on user engagement. In nutrition education, g... read more

Developing and Integrating Virtual Reality Courses in Medical Education: Tutorial and Implementation Guideline Informed by Best Practices From the National Project "medical tr.AI.ning".

JMIR medical education May 1, 2026

The increasing adoption of virtual reality (VR) in medical education offers substantial opportunities for immersive, practice-oriented training that complements traditional teaching methods. In particular, VR enables repeated, risk-free exposure to c... read more

Applicable Scenarios, Desired Features, and Risks of AI Psychotherapists in Depression Treatment From the Patient's Perspective: Exploratory Qualitative Study.

JMIR formative research May 1, 2026

BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advancement of artificial intelligence (AI), digital tools are increasingly seen as a viable way to address... read more

AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

Journal of neurosurgery May 1, 2026

OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instrument movement and increasing the risk of tissue injury. Understanding how experts navigate varying ... read more

MRI-based interpretable deep learning radiomics for predicting treatment response in axial spondyloarthritis.

European journal of radiology May 1, 2026

BACKGROUND: The clinical efficacy of tumor necrosis factor inhibitors (TNFi) in axial spondyloarthritis (axSpA) is limited by high non-response rates, necessitating accurate pre-treatment stratification. This study aimed to develop and validate MRI-b... read more

A systematic review of machine learning approaches to bovine tuberculosis in cattle.

Research in veterinary science May 1, 2026

Bovine tuberculosis (bTB) is a chronic zoonotic disease, caused by Mycobacterium bovis which despite years of eradication attempts, is still prevalent globally. Machine learning (ML), a technology allowing for computerised discovery of patterns in da... read more

Deep Learning-Based Comparison of Knee Minimum Joint Space Width in Patients with Rheumatoid Arthritis and Osteoarthritis Before Total Knee Arthroplasty.

The Journal of rheumatology May 1, 2026

OBJECTIVE: While osteoarthritis (OA) and rheumatoid arthritis (RA) can necessitate total knee arthroplasty (TKA), the mechanisms and radiographic patterns of joint space narrowing (JSN) differ. Deep learning (DL) enables compartment-specific measurem... read more

Impact of Artificial Intelligence-Assisted Endoscopy on Screening for Upper Gastrointestinal Cancer in a Large-Scale Health Screening Facility.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society May 1, 2026

OBJECTIVES: Artificial intelligence (AI)-assisted endoscopy has been developed for the early detection of upper gastrointestinal cancer; however, its clinical effectiveness remains insufficiently evaluated. This study assessed its effectiveness in a ... read more

Artificial Intelligence-Based Analysis of Laparoscopic Imaging for Intraoperative Surgical Decision Support.

Annual review of biomedical engineering May 1, 2026

Across surgical specialties, minimally invasive (laparoscopic) surgery has become a standard technique, as it is associated with less trauma, reduced postoperative complication rates, and quicker recovery for patients as compared with open surgery. D... read more

Artificial Intelligence Medical Compendium