AI Medical Compendium

Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

JMIR medical informatics Apr 30, 2026

BACKGROUND: Predicting enterocutaneous fistula (ECF)-associated sepsis and mortality poses significant challenges in digital health care due to the disease's complexity and heterogeneous clinical manifestations. Current approaches that rely on single... read more

The Ethics of AI Scribes as Epistemic Agents.

JMIR medical informatics Apr 30, 2026

Artificial intelligence (AI) scribes using ambient documentation technology that capture clinician-patient dialogue and auto-generate visit notes promise to alleviate documentation burden and reduce clinician burnout. In discussing empirical evidence... read more

A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation.

JMIR AI Apr 30, 2026

BACKGROUND: The integration of Large Language and Vision Assistant models with food and nutrition data enables multimodal meal analysis and contextual dietary guidance. Despite this potential, the reliability and practical usefulness of such systems ... read more

Backcasting the Trust Gap: A Strategic Road Map for Clinician Adoption of AI Diagnostics by 2040.

Journal of medical Internet research Apr 30, 2026

The integration of artificial intelligence (AI) into clinical medicine presents a persistent paradox: diagnostic models routinely demonstrate benchmark superiority over human experts, yet bedside adoption remains fragile, and clinician trust is low. ... read more

Current Landscape of Mental Health Conversational Agents From a Trauma-Informed Care Lens: Scoping Review.

JMIR mental health Apr 30, 2026

BACKGROUND: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, and user-sensitive design remains a challenge. Despite growing attention to trauma-informed approaches... read more

Artificial Intelligence-Powered Simulation for Telehealth Communication Training: Bridging Traditional Simulation and Artificial Intelligence.

Simulation in healthcare : journal of the Society for Simulation in Healthcare Apr 30, 2026

INTRODUCTION: Traditional simulation-based communication training remains resource-intensive and difficult to scale. While artificial intelligence (AI), particularly large language models, offers promising solutions for health care education, no blue... read more

Magnetic Resonance Neurography: Evolution, Technical Foundations, and Future Directions.

Seminars in musculoskeletal radiology Apr 30, 2026

ABSTRACT: In the past 20 years, magnetic resonance neurography has evolved from an experimental technique into an essential diagnostic pillar for peripheral nerve evaluation. This review delineates the historical shift from 1.5T to 3T systems and the... read more

A teacher-student deep learning framework for enhanced clinical screening of heart failure from 12-lead electrocardiograms.

Physiological measurement Apr 30, 2026

OBJECTIVE: Identifying heart failure (HF) from electrocardiograms (ECG) is challenging due to the lack of definitive features. This study aims to develop a deep learning-based clinical decision support system, CTTSnet, for accurate and automated HF s... read more

Machine learning method for the prediction of Bedaquiline-resistant Mycobacterium tuberculosis.

Life science alliance Apr 30, 2026

The study addresses the increasing resistance to the FDA-approved drug Bedaquiline (BDQ) in Mycobacterium tuberculosis (MTB). The absence of any defined resistance locus and the wide variation in the drug targets across clinical isolates have raised ... read more

Deep Learning-Based Identification of Surgical Candidacy for Cervical Spinal Cord Decompression.

International journal of spine surgery Apr 30, 2026

BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical spine imaging. The present study aims to identify whether deep learning can be harnessed to triage patients into operative and nonoperative groups ba... read more

Artificial Intelligence Medical Compendium