AI Medical Compendium

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

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

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

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

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

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

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

Artificial Intelligence in Neurocritical Care : Multimodal Biosignal Analysis for Prognosis, Monitoring, and Future Pediatric Applications.

Journal of Korean Neurosurgical Society Mar 24, 2026

Neurocritical care relies on continuous assessment of neurological function and physiology under time pressure, yet bedside teams must interpret high-frequency, multimodal data that include hemodynamic waveforms, intracranial pressure (ICP), electroe... read more

What factors influence patient participation in an artificial intelligence-based initiative to optimise referrals from primary to specialist haematology care? A multicentre retrospective observational study in four Spanish hospitals.

BMJ open Mar 24, 2026

OBJECTIVES: Increasing demand for haematological specialist care makes the optimisation of referrals and outpatient workflow a priority. Automated placing of standardised test orders prior to the first appointment may provide haematologists with nece... read more

Integration of Multiple Optimization Algorithms with Machine Learning: Predicting Nitrogen Adsorption Volume of Coal Rocks.

Langmuir : the ACS journal of surfaces and colloids Mar 24, 2026

The nitrogen adsorption capacity is of great significance for the characterization of porous materials, carbon sequestration, and coalbed methane development. Essentially, this is a typical research scenario of solid-gas interface interaction in the ... read more

Artificial Intelligence Medical Compendium