AI Medical Compendium

Global Mega-Challenges and International Collaboration in Science, Education, and Health.

Health systems and reform Mar 19, 2026

We live in an interdependent world riven by ideology, factions, and rivalries, and we face enormous challenges such as climate disruption, an aging population, and coping with the consequences of technologies such as gene editing and artificial intel... read more

Modeling and benchmarking quantum optical neurons for efficient neural computation.

PloS one Mar 19, 2026

Quantum optical neurons (QONs) are emerging as promising computational units that leverage photonic interference to perform neural operations in an energy-efficient and physically grounded manner. Building on recent theoretical proposals, we introduc... read more

Satellite On-Orbit Chip-Level Deep Learning Model for Real-Time Dust Storm Monitoring.

Environmental science & technology Mar 19, 2026

Dust storms evolve on 10 min time scales, yet satellite monitoring remains constrained by ground segment pipelines that delay actionable products by half-hour to hours. We present an on-orbit deep learning framework that executes dust storm detection... read more

The visual nature of social interaction and its impact on overall mood judgments.

Cognition & emotion Mar 19, 2026

Humans can rapidly assess a crowd's overall mood, allowing socially adaptive behaviour. Prior work suggests that an interacting individual's emotional judgment is shaped by the facial expressions of their interaction partner. However, research has ye... read more

The Right to Understand in Health Care AI.

Journal of medical Internet research Mar 19, 2026

Machine Learning-Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study.

JMIR medical informatics Mar 19, 2026

BACKGROUND: Hyperhomocysteinemia (HHcy) is recognized as an independent risk factor for coronary heart disease (CHD), yet accurately predicting CHD risk in patients with HHcy remains a challenge. This study aimed to develop and validate multiple mach... read more

Toxic chinese herbal medicine recognition in real-world images via multi-scale and attention-enhanced EfficientNetV2.

PloS one Mar 19, 2026

Accurate identification of toxic Chinese herbal medicines is critical for public health and clinical safety. However, real-world herbal images often exhibit complex backgrounds and small, indistinct target regions, posing substantial challenges to au... read more

Utilization and Feasibility of a Wearable Device in Patients With Sedative Effects of Drugs: Protocol for a Prospective Observational Study for the Advanced Respiratory Monitoring Events in Drug Toxicity (ARM-ED) Study.

JMIR research protocols Mar 19, 2026

BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other sedative drugs can cause respiratory depression and airway compromise, leading to hypoxia and death. Device technology and artificial intelligence us... read more

Personalized Glucose Management With AI: Pilot Study Using a Multiarmed Bandit Approach.

JMIR formative research Mar 19, 2026

BACKGROUND: Personalized behavioral recommendations through mobile apps have proven effective in preventing serious chronic diseases such as diabetes. Recent studies have primarily focused on optimizing personalized recommendations using reinforcemen... read more

AI-Assisted Systematic Review: Humans Still Need to Review All Abstracts for Inclusion.