AI Medical Compendium

Forecasting crude oil futures price with energy uncertainty: Evidence from machine learning methods.

PloS one Feb 5, 2026

Energy related uncertainty has significant influence on crude oil market. To explore the influence, this paper investigates the predictive ability of the Energy-Related Uncertainty Index (EUI), over and above standard macroeconomic predictors, in for... read more

A comparative analysis of video vision transformers on word-level sign language datasets.

PloS one Feb 5, 2026

Sign Language Recognition (SLR) involves the automatic identification and classification of sign gestures from images or video, converting them into text or speech to improve accessibility for the hard-of-hearing community. In Bangladesh, Bangla Sign... read more

Predictive free energy simulations through hierarchical distillation of quantum Hamiltonians.

Proceedings of the National Academy of Sciences of the United States of America Feb 5, 2026

Obtaining the free energies of condensed phase chemical reactions remains computationally prohibitive for high-level quantum mechanical methods. We introduce a hierarchical machine learning framework that bridges this gap by distilling knowledge from... read more

Biological data governance in an age of AI.

Science (New York, N.Y.) Feb 5, 2026

Tailored access controls on new viral data would reduce misuse risks. read more

Turning the web against sex traffickers: Scalable artificial intelligence is harnessed for investigative search.

Science (New York, N.Y.) Feb 5, 2026

Scalable artificial intelligence is harnessed for investigative search. read more

Interpretable Multimodal Graph Learning Platform for Rational Design of AIEgens: From Molecular Structure and Microenvironments to Photophysical Properties.

ACS sensors Feb 5, 2026

Aggregation-induced emission luminogens (AIEgens) exhibit significant application potential in materials science due to their unique photophysical properties. However, systematically elucidating their structure-property relationships remains challeng... read more

Exploring Clinician Perspectives on Artificial Intelligence in Primary Care: Qualitative Systematic Review and Meta-Synthesis.

JMIR AI Feb 5, 2026

BACKGROUND: Recent advances have highlighted the potential of artificial intelligence (AI) systems to assist clinicians with administrative and clinical tasks, but concerns regarding biases, lack of regulation, and potential technical issues pose sig... read more

Iterative Large Language Model-Guided Sampling and Expert-Annotated Benchmark Corpus for Harmful Suicide Content Detection: Development and Validation Study.

JMIR medical informatics Feb 5, 2026

BACKGROUND: Harmful suicide content on the internet poses significant risks, as it can induce suicidal thoughts and behaviors, particularly among vulnerable populations. Despite global efforts, existing moderation approaches remain insufficient, espe... read more

Effectiveness of Informed AI Use on Clinical Competence of General Practitioners and Internists: Pre-Post Intervention Study.

JMIR medical education Feb 5, 2026

BACKGROUND: Artificial intelligence (AI) shows promise in clinical diagnosis, treatment support, and health care efficiency. However, its adoption in real-world practice remains limited due to insufficient clinical validation and an unclear impact on... read more

Ethical Risks and Structural Implications of AI-Mediated Medical Interpreting.