AI Medical Compendium

Developing machine learning-enhanced WHODAS 2.0 short forms for persons with dementia.

Journal of the Formosan Medical Association = Taiwan yi zhi May 1, 2026

BACKGROUND: Disability assessment in dementia is important for care planning, but the full World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is time-intensive and may limit clinical use. This study developed machine learning (... read more

A population vector model of visual working memory for real-world scenes.

Journal of experimental psychology. General May 1, 2026

Visual working memory is essential for navigating through and interacting with complex real-world environments. It is therefore important to understand how natural visual inputs-characterized by complex contours, continuously varying feature gradient... read more

Network pharmacology and AI: illuminating the path to precision herbal medicine in Ganoderma spp.

Chinese journal of natural medicines May 1, 2026

Ganoderma species are promising sources of bioactive natural products with substantial pharmacological potential and have long been valued in traditional Chinese medicine (TCM) for their diverse therapeutic properties. However, their complex multi-co... read more

Verify, Then Trust: Using Artificial Intelligence in Publication of Research.

American journal of critical care : an official publication, American Association of Critical-Care Nurses May 1, 2026

From Promise to Practice: Real-World Readiness of Artificial Intelligence for Cardiac Magnetic Resonance Imaging.

Korean journal of radiology May 1, 2026

Deep Learning-Based Augmented Contrast-Enhancement and Denoising for Reduced-Iodine and Low-Radiation 70-kVp Cerebral CT Angiography: A Prospective Study.

Korean journal of radiology May 1, 2026

OBJECTIVE: To evaluate the feasibility of cerebral computed tomography angiography (CTA) obtained with reduced iodine and low radiation at 70 kVp and the effect of deep learning-based augmented contrast enhancement (DL-ACE) and denoising (DL-DN) algo... read more

Structural optimization principles for edge AI in motorsport telemetry.

Scientific reports May 1, 2026

In motorcycle motorsport, engineering decisions are constrained by mass, stiffness, fatigue life, and thermal margins. In a comparable way, deploying large language models (LLMs) for edge or trackside assistance is limited by memory capacity, bandwid... read more

Governance for safe and responsible AI in healthcare organisations: a scoping review of frameworks.

NPJ digital medicine May 1, 2026

This scoping review synthesises current evidence on artificial intelligence (AI) governance in healthcare organisations, outlining key components of AI governance frameworks. Following PRISMA-ScR guidelines, we searched MEDLINE, Embase, and Scopus (A... read more

Simulation-based inference at the theoretical limit for fast, robust microstructural MRI with minimal diffusion data.

Communications medicine May 1, 2026

BACKGROUND: Diffusion-weighted magnetic resonance imaging provides a non-invasive way to probe brain tissue microstructure and is widely used in neuroscience and clinical research. Reliable microstructural maps usually require long scan times because... read more

Interpretable Machine Learning to Anticipate the Diagnostic Yield of EEG in the Emergency department. The EMINENCE study.

Journal of medical systems May 1, 2026

INTRODUCTION: Emergent electroencephalography (emEEG) is increasingly employed in the emergency department (ED) for evaluating altered consciousness and seizure-related conditions, yet standardized criteria guiding its use remain limited. METHODS: We... read more

Artificial Intelligence Medical Compendium