AI Medical Compendium

The most vulnerable are prone to use AI therapists: The role of attachment, epistemic trust, and mental health symptoms in acceptance of digital mental health interventions.

Psychotherapy research : journal of the Society for Psychotherapy Research Jan 19, 2026

OBJECTIVE: Digital mental health interventions (DMHIs) offer scalable solutions to traditional barriers in mental healthcare. Acceptability of DMHIs might differ among patients with differing level of symptoms and relational difficulties. This study ... read more

Machine Learning-Driven Nanopore Sensing for Quantitative, Label-Free miRNA Detection.

Small methods Jan 19, 2026

Nanopore sensors offer exceptional sensitivity for detecting single molecules, making them ideal for early disease diagnostics. In this study, we present a multiplexed nanopore-based assay that combines DNA-barcoded probes with advanced computational... read more

Deep learning in stroke therapeutics: drug repurposing and beyond.

Expert opinion on drug discovery Jan 19, 2026

INTRODUCTION: Deep learning is reshaping stroke research by accelerating drug repurposing amid heterogeneous pathology, narrow therapeutic windows, and poor translation. This review highlights current therapeutic challenges and emerging DL applicatio... read more

Development of Betalactam-Predictor: A Clinical Decision Tool for Delabeling Low-Risk Betalactam Allergy Patients. Initial Validation in Penicillin Allergy.

Allergy Jan 19, 2026

BACKGROUND: A label of betalactam (BL) allergy is estimated in around 10% of the population in their medical records. Second-line choices carry significant negative consequences, including reduced efficacy, effectiveness, and safety. This study aimed... read more

The Potential of Ensemble-Based Automated Sleep Staging on Single-Channel EEG Signal From a Wearable Device.

Journal of sleep research Jan 19, 2026

Machine-learning-based sleep staging models have achieved expert-level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non-conventional referencing montage and the... read more

AI-driven emotional intelligence in piano education: Deep learning models for expressive performance coaching.

Acta psychologica Jan 19, 2026

With the increasing use of artificial intelligence (AI) in higher music education, there is a growing need to evaluate whether intelligent feedback systems can meaningfully enhance expressive piano performance. This study investigates the research qu... read more

Predictors of Paravalvular Leakage After Transcatheter Aortic Valve Replacement in Patients With BAV: A Machine Learning Model.

JACC. Advances Jan 19, 2026

BACKGROUND: The specific anatomy of bicuspid aortic valve (BAV) increases the incidence of ≥ mild paravalvular leakage (PVL) after transcatheter aortic valve replacement (TAVR). OBJECTIVES: The purpose of this study was to develop and validate a mode... read more

Deep Learning-Derived Right Ventricular Ejection Fraction Predicts Mortality in Patients Undergoing Transcatheter Tricuspid Valve Intervention.

JACC. Advances Jan 19, 2026

BACKGROUND: Transcatheter tricuspid valve intervention (TTVI) has emerged as a valuable therapeutic option for patients with severe tricuspid regurgitation. However, the impact of TTVI on right ventricular (RV) function remains incompletely understoo... read more

Transformer-based feature extraction approach for hematopoietic cancer subtype classification.

Computers in biology and medicine Jan 19, 2026

Accurate classification of hematopoietic cancer subtypes remains challenging due to the multipotent nature of hematopoietic cells and the absence of definitive genetic markers. To address this, we propose a Transformer-based Autoencoder that captures... read more

Establishment of threshold of human gut microbes and risk assessment system for colorectal cancer.