AI Medical Compendium

Bridging the Gender Gap in Obstructive Sleep Apnea: A Machine Learning Approach to Screening Women for Moderate-to-Severe Disease.

Respiration; international review of thoracic diseases Apr 14, 2026

INTRODUCTION: Obstructive sleep apnea (OSA) can cause severe complications if left untreated. Several challenges hinder OSA identification in females, resulting in underdiagnosis and undertreatment in this population. This study aimed to develop a ma... read more

Hypotension Prediction Index-Guided Hemodynamic Management on Postoperative Organ Outcome: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.

A&A practice Apr 14, 2026

Intraoperative hypotension (IOH) is a frequent occurrence during noncardiac surgery. Hypotensive episodes can compromise tissue perfusion, and cumulative exposure has been associated with adverse outcomes such as acute kidney injury (AKI), myocardial... read more

Classification of Cochrane Plain Language Summaries by Conclusiveness Using Transformer-Based Models and ChatGPT: Retrospective Observational Study.

JMIR medical informatics Apr 14, 2026

BACKGROUND: Cochrane plain language summaries (PLSs) aim to make systematic review findings more accessible to the general public. However, inconsistencies in how conclusions are presented may impact comprehension and decision-making. Classifying PLS... read more

Design of Single-Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single-Cell RNA Sequencing and Machine Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 14, 2026

Patients with diabetes mellitus-induced erectile dysfunction (DMED) usually suffer more severe symptoms, and efficacy of the first-line therapy is limited. This study develops an integrated framework combining single-cell RNA sequencing (scRNA-seq) a... read more

Comparing Images of Depression in Mass Media and AI-Generated Pictures: Mixed Methods Study.

JMIR human factors Apr 14, 2026

BACKGROUND: Images play an important role in reducing stigma related to mental health, which often is distorted in the media. In recent years, generative artificial intelligence (AI) has been used to generate images related to mental health. However,... read more

Nurses' Evaluation of a Service Robot for Inpatient Care: Technology Acceptance Study.

JMIR nursing Apr 14, 2026

BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a potential strategy to alleviate workload and support care processes in response to demographic changes and staffing shortages. However, the acceptance... read more

Explanatory Machine Learning Model to Associate All-Cause Mortality with PM2.5 by Sources and Components: A Nationwide Difference-in-Differences Study.

Environmental science & technology Apr 14, 2026

Background: Long-term PM2.5 exposure is a major health risk, yet the heterogeneity of its chemical components and sources is often overlooked in risk assessments. Methods: Using county-level census data for 1990, 2000, and 2010 in China, we employed ... read more

User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study.

JMIR formative research Apr 14, 2026

BACKGROUND: Artificial intelligence-powered conversational agents (ie, chatbots) are increasingly popular outlets for users seeking psychological support, yet little is known about how users experience early-stage prototypes or which therapeutic proc... read more

Learning inherent genetic patterns and trait associations with deep generative models for discrete genotype simulation.

GigaScience Apr 14, 2026

BACKGROUND: Deep generative models open new avenues for simulating realistic genomic data while preserving privacy and addressing data accessibility constraints. While previous studies have primarily focused on generating gene expression or haplotype... read more

Artificial Intelligence in Spine Imaging Interpretation.

Seminars in musculoskeletal radiology Apr 14, 2026

Spinal disorders, one of the leading causes of disability worldwide, are routinely assessed on imaging studies. Recent advancements in artificial intelligence for spine imaging interpretation may significantly improve diagnostic accuracy and workflow... read more

Artificial Intelligence Medical Compendium