Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 16,341 to 16,350 of 213,568 articles

A screen for stress-induced sleep genes in C. elegans reveals a role for glutamate signaling.

Genetics
Sleep is an essential behavioral state that evolved early in animals, possibly with the advent of the nervous system. The complexity of sleep neural networks varies significantly across phylogeny, yet common signaling molecules exist. Stress-induced ... read more 

Artificial intelligence in the care of systemic lupus erythematosus: Current capabilities and translational barriers.

Lupus
BackgroundThe clinical heterogeneity of systemic lupus erythematosus exceeds the resolution of conventional disease activity instruments. Artificial intelligence offers the analytical infrastructure to engage with this complexity, yet the translation... read more 

Prognostic value of CT-derived fractional flow reserve for major adverse cardiovascular events in patients with suspected or known coronary artery disease: a systematic review and meta-analysis.

Open heart
BACKGROUND: Fractional flow reserve derived from CT (FFR-CT) enables non-invasive functional assessment of coronary stenoses in patients with suspected or known coronary artery disease, but evidence regarding its prognostic value remains fragmented. ... read more 

Toward Generalizable Surrogate Models for Molecular Dynamics via Graph Neural Networks.

The journal of physical chemistry. A
We present a graph neural network (GNN) based surrogate framework for molecular dynamics simulations that directly predicts atomic displacements and learns the underlying evolution operator of an atomistic system. Unlike conventional molecular dynami... read more 

Patient preferences and willingness-to-pay for AI-enabled blended type 2 diabetes care by digital experience and socioeconomic status: a discrete-choice experiment in China.

BMJ open
OBJECTIVES: To elicit stated preferences and willingness-to-pay (WTP) for artificial intelligence (AI)-enabled blended care in type 2 diabetes mellitus (T2DM), and to examine preference heterogeneity by digital experience and socioeconomic status (SE... read more 

Response: On misconceptions in the ethical assessment of medical AI.

Journal of medical ethics
The article by DurĂ¡n and Jongsma attempts to establish philosophical grounds for trust in medical artificial intelligence (AI) by positing concerns about opacity, 'black box' algorithms and epistemic justification. However, their argument conflates d... read more 

Deep Learning Algorithm Based on Contrast-Enhanced Ultrasound Potentially Optimizes Treatment Strategies for Solitary Primary Hepatocellular Carcinoma.

Ultrasound in medicine & biology
OBJECTIVE: We aimed to propose a prognostic framework using a dual-branch Vision Transformer (ViT) deep learning (DL) architecture for stratifying recurrence risk in solitary primary hepatocellular carcinoma (HCC) patients undergoing surgical resecti... read more 

Deep Learning-Based Automated Coronary Plaque Quantification with Ultra-high Resolution Photon-Counting Detector CT at Different Spatial Resolutions.

Academic radiology
RATIONALE AND OBJECTIVES: To evaluate the impact of varying spatial resolutions on image quality, and deep-learning (DL) based quantification of coronary stenosis and plaque volumes using photon-counting detector CT (PCD-CT). MATERIALS AND METHODS: I... read more 

Disease and Health Surveillance in Companion Animals Using Artificial Intelligence and Machine Learning.

The Veterinary clinics of North America. Small animal practice
Companion animal disease surveillance now benefits from collated databases of electronic health records and artificial intelligence. This review examines computational approaches for analyzing unstructured veterinary clinical text, from rule-based sy... read more 

Building safer artificial intelligence mental health chatbots: a framework for transparency, evaluation, and shared accountability.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Generative artificial intelligence (AI) chatbots built on large language models are rapidly entering mental-health care, offering human-like support without meeting evidentiary standards for safety or effectiveness. OBJECTIVE: To examine ... read more