AI Medical Compendium

Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review.

JMIR AI Mar 25, 2026

BACKGROUND: Fuzzy logic has been progressively investigated as a viable alternative to traditional statistical and machine learning methods in health care modeling, especially in environments marked by uncertainty, nonlinearity, and missing informati... read more

Molecular Understanding of Free-Energy Landscapes.

Annual review of chemical and biomolecular engineering Mar 25, 2026

Free-energy surfaces (FESs) offer a unifying framework for understanding molecular-level structures, transformations, and thermodynamic stability. They distill the complexity of atomistic simulations into interpretable landscapes of metastable states... read more

A Multimodal Attention Fusion-Based Model for Pathological Voice Detection.

Biomedical physics & engineering express Mar 25, 2026

Pathological voice detection provides a non-invasive and cost-effective approach for the early screening of laryngeal disorders. However, most existing methods rely on single-modal acoustic features and mainly focus on binary classification, which li... read more

Efficient machine learning models leveraging DCE‑MRI morphological and dynamic features allow accurate breast lesion classification.

Biomedical physics & engineering express Mar 25, 2026

We propose an ensemble learning approach to classify malignant versus benign breast lesions leveraging morphological and dynamic features derived from Magnetic Resonance Images (MRI). The analysis has been performed on 164 breast lesions of the publi... read more

TSMPI-Net: a time-series generative adversarial network for short-frame-interval magnetic particle imaging.

Physics in medicine and biology Mar 25, 2026

OBJECTIVE: Magnetic particle imaging (MPI) is an emerging imaging modality that offers high sensitivity and potential for high-speed imaging. In many MPI applications, imaged object moves over time, requiring reconstruction of temporally coherent ima... read more

Artificial intelligence in Prechtl's General Movements Assessment: A systematic review and meta-analysis.

Journal of neonatal-perinatal medicine Mar 25, 2026

ObjectiveTo evaluate AI-assisted GMA performance for (i) prediction of later cerebral palsy (CP) diagnosis and (ii) classification of expert-rated GMA labels, and to assess heterogeneity and risk of bias.MethodsA systematic review and meta-analysis w... read more

AI-generated Feedback Following Social Robotic Virtual Patient Interactions and Medical Student Performance: Nonrandomized Quasi-Experimental Study.

JMIR medical education Mar 25, 2026

BACKGROUND: Virtual patients (VPs) demonstrate effectiveness in improving clinical reasoning skills; however, traditional VP platforms often lack individualized feedback mechanisms. Advances in large language models (LLMs) enable automated analysis o... read more

AI innovations for ovarian and endometrial cancer diagnosis: Methodological challenges and engineering roadmap.

Critical reviews in oncology/hematology Mar 25, 2026

The late-stage presentation of ovarian and endometrial cancers, along with varied imaging characteristics and screening constraints, hinders early diagnosis. Representative studies indicate accuracies ranging from 85% to 96% and AUCs reaching 0.99; h... read more

Breast Arterial Calcification on Mammography and Cardiovascular Outcomes in Women: A Meta-analysis.

The American journal of cardiology Mar 25, 2026

Breast arterial calcification (BAC) is commonly observed on screening mammography and may provide a low-cost opportunistic marker to enhance cardiovascular risk assessment in women, in whom cardiometabolic risk is often underrecognized by traditional... read more

Editorial commentary: From signal to care: Artificial intelligence in Cardio-oncology.

Trends in cardiovascular medicine Mar 25, 2026

Artificial Intelligence Medical Compendium