AI Medical Compendium

Clinical implementation of 3D deep learning techniques in predicting touch-up lesions for atrial fibrillation patients undergoing cryoablation.

International journal of cardiology. Heart & vasculature Apr 3, 2026

BACKGROUND: Atrial fibrillation (AF) is a common heart rhythm disorder that can be treated with cryoballoon ablation (CBA). CBA occasionally requires additional radiofrequency-based touch-up ablation due to anatomical challenges. This study developed... read more

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

Journal of infection and public health Apr 3, 2026

BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering from COVID-19. Due to the heterogeneity of clinical manifestations and the lack of objective diagnostic criteria, the identification and prediction of ... read more

Presence hallucination induction through robotically mediated somatomotor conflicts: A pooled analysis of 25 experiments.

Cortex; a journal devoted to the study of the nervous system and behavior Apr 3, 2026

Hallucinations are significant symptoms in psychiatric and neurodegenerative diseases, that may indicate advanced disease progression or worse disease forms. They are also frequent in healthy individuals, especially elderly or bereaved. Despite their... read more

Using Machine Learning to Design Effective Antimicrobial Dosing Regimens.

Computers & chemical engineering Apr 3, 2026

Resistant bacterial infections remain a major clinical challenge, often necessitating combination therapy, namely use of two or more antibiotics with different mechanisms of action. However, the systematic design of such therapies is still lacking. T... read more

Screening and classification of anti-angiogenic VEGFR2 inhibitors with supervised machine learning, deep learning and molecular docking and molecular dynamics simulation.

Journal of molecular graphics & modelling Apr 3, 2026

Vascular Endothelial Growth Factor Receptor 2 (VEGFR2) is a critical therapeutic target in cancer due to its role in pathological angiogenesis and tumor progression. Despite available FDA-approved VEGFR2 tyrosine kinase inhibitors (TKIs), challenges ... read more

A hierarchical prompt and prototype learning framework for brain disorder classification.

Medical image analysis Apr 3, 2026

Accurate diagnosis of brain disorders (BDs) is challenging in clinical practice. Most existing deep learning-based methods perform diagnosis only in a one-step manner, ignoring the step-wise, multi-level diagnosis processes as performed by radiologis... read more

Predicting disintegration time in fast-disintegrating tablets using machine learning: a data-driven framework based on functional excipient representation.

International journal of medical informatics Apr 3, 2026

BACKGROUND: Fast-disintegrating tablets (FDTs) are widely used oral dosage forms in which disintegration time is a critical quality attribute influencing drug release and patient compliance. However, formulation development is challenging due to comp... read more

Performance evaluation of quantum support vector machine for COVID-19 biomarker analysis.

Computer methods and programs in biomedicine Apr 3, 2026

BACKGROUND AND OBJECTIVE: Identifying key biomarkers from multi-omics data is essential for advancing COVID-19 diagnosis and understanding disease mechanisms. Quantum machine learning approaches, particularly the quantum support vector machine, offer... read more

An artificial intelligence model for accurate drug-target affinity prediction in medicinal chemistry.

European journal of medicinal chemistry Apr 3, 2026

Predicting Drug-Target Affinity (DTA) with high fidelity is critical for accelerating hit-to-lead optimization and understanding mechanism of action. While deep learning has transformed this field, current approaches often struggle with the effective... read more

Integration of deep learning and radiomic features from multiplex immunohistochemistry images for reproducible Multi-Outcome prediction in a Multi-Center study of colorectal cancer.