AI Medical Compendium

Towards fair and trustworthy heart rate estimation from wrist-worn photoplethysmography: a multi-wavelength dataset and uncertainty-aware deep learning approach evaluated across skin tones, sexes, and motion conditions.

Physiological measurement Mar 24, 2026

OBJECTIVE: To improve fairness (reduced disparities across skin tones and sexes) and trust (well-calibrated uncertainty metrics that indicate unreliable predictions) in wrist-worn photoplethysmography (PPG) heart rate estimation. While PPG offers a c... read more

Topological Thermoelectrics: Analytical Framework, Material Aspects and Machine Learning.

Journal of physics. Condensed matter : an Institute of Physics journal Mar 24, 2026

Topological quantum materials offer new levers for thermoelectric (TE) design by reshaping band geometry, carrier scattering, and heat transport. This review provides a unified account of these opportunities from three complementary perspectives. Fir... read more

EDAPT: Towards calibration-free BCIs with continual online adaptation.

Journal of neural engineering Mar 24, 2026

Brain-computer interfaces (BCIs) suffer from accuracy degradation as neural signals drift over time and vary across users, requiring frequent recalibration that limits practical deployment. Our goal is to develop a framework that eliminates the need ... read more

Differential Factors Associated With the Presence of Persistent Symptoms in Individuals Diagnosed With Long COVID: Protocol for a Longitudinal Matched Case-Control Study.

JMIR research protocols Mar 24, 2026

BACKGROUND: Long COVID (postacute sequelae of SARS-CoV-2 infection) is a heterogeneous condition with persistent multisystem symptoms and substantial functional burden. Integrative longitudinal studies combining clinical phenotyping, lifestyle factor... read more

Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven Automatic Clinical Note Generation in Primary Care: Proof-of-Concept Study.

JMIR AI Mar 24, 2026

BACKGROUND: The workload that stems from writing clinical histories is one of the main sources of stress and overload for primary care professionals, accounting for up to 43% of the working day. The introduction of technology, specifically artificial... read more

HiCMamba: Enhancing Hi-C resolution and identifying 3D genome structures with state space modeling.

PLoS computational biology Mar 24, 2026

Hi-C technology measures genome-wide interaction frequencies, providing a powerful tool for studying the 3D genomic structure within the nucleus. However, high sequencing costs and technical challenges often result in Hi-C data with limited coverage,... read more

Large Language Model-Powered Diagnostic Co-Pilot ("CapyEngine") for Mental Disorders: Development, Evaluation, and Future Optimization Study.

JMIR AI Mar 24, 2026

BACKGROUND: Despite the growing potential of large language models (LLMs) in mental health services, evidence on its capabilities in diagnostic processes remains limited. OBJECTIVE: This study described the development and evaluation of CapyEngine, a... read more

Graph-Based Classification with GNN-Explainer for Predicting Cardiac Toxicity Associated with Multi-Ion Channel Blockers.

Chemical research in toxicology Mar 24, 2026

Cardiotoxicity remains a critical concern in drug development, often leading to late-stage attrition of promising compounds. While traditional assessments focus on Kv11.1 channel inhibition, the Comprehensive in Vitro Proarrhythmic Assay (CiPA) initi... read more

Automatic Multi-Class Classification of 3D Relationships Between the Mandibular Third Molar and Canal on CBCT Using a Geometry-Aware Network.

Dento maxillo facial radiology Mar 24, 2026

OBJECTIVES: Accurate three-dimensional (3D) evaluation of the spatial relationship between the mandibular third molar (M3) and the mandibular canal (MC) is critical for assessing the risk of nerve injury during M3 extraction. The purpose of this stud... read more

Unsupervised Phenomapping of Perioperative Risk in Stable Coronary Artery Disease: Revealing Limitations of the Revised Cardiac Risk Index.

European journal of preventive cardiology Mar 24, 2026

AIMS: To derive unsupervised clinical phenotypes in patients with stable coronary artery disease (CAD) undergoing elective non-cardiac surgery and evaluate phenotype-stratified performance of the Revised Cardiac Risk Index (RCRI) and laboratory-augme... read more

Artificial Intelligence Medical Compendium