AI Medical Compendium

Personalized Deep Networks for Enhanced ECG Segmentation.

Cardiovascular engineering and technology Apr 20, 2026

Electrocardiography (ECG) plays a vital role in the diagnosis of cardiovascular diseases by analyzing the electrical activity of the heart. ECG semantic segmentation is a subfield focused on sample-wise delineation of ECG waveforms by assigning a phy... read more

No humans allowed: scientific AI agents get their own social network.

Nature Apr 20, 2026

Interpretable predictions from whole-body FDG-PET/CT using parameters associated with clinical outcome.

Communications medicine Apr 20, 2026

BACKGROUND: Accurate prediction of clinical outcomes is challenging yet important for patient care. The aim of the study was to evaluate a deep learning-based methodology using tissue-wise information, as a proof of concept, for predicting parameters... read more

A combined study of molecular dynamics simulations, information theory, molecular graph theory, and machine learning in protein structure and dynamics.

Journal of computer-aided molecular design Apr 20, 2026

AI-based synthetic CT attenuation correction enables reliable quantitative SPECT in unilateral condylar hyperplasia.

EJNMMI physics Apr 20, 2026

PURPOSE: Unilateral condylar hyperplasia (UCH) is a rare mandibular growth disorder in which accurate assessment of condylar metabolic activity is essential for surgical decision-making. Quantitative 99mTc-methylene diphosphonate (MDP) SPECT/CT is co... read more

Development of machine learning and nomogram models to predict lung metastasis and prognosticate survival in breast cancer.

Discover oncology Apr 20, 2026

PURPOSE: Lung metastasis in breast cancer (BCLM) is a critical determinant of poor prognosis, occurring in approximately 30-50% of advanced cases and associated with significantly reduced median survival. This study aimed to develop machine learning ... read more

A Graph Attention Network-Based Multimodal Auxiliary Intelligent Grading Model for Uterine Prolapse Severity.

International urogynecology journal Apr 20, 2026

INTRODUCTION AND HYPOTHESIS: Uterine prolapse affects women's quality of life. Traditional diagnosis relies on subjective experience with limited accuracy (ACC). Fusing multimodal data (clinical features of uterine prolapse and pelvic floor magnetic ... read more

AI-Driven Multi-parametric MS Lesion Analysis from T2-FLAIR Imaging: a Clinical Decision Support Framework for Neuroradiology.

Journal of imaging informatics in medicine Apr 20, 2026

Artificial intelligence (AI) is transforming neuroradiological practice, yet multiple sclerosis (MS) diagnosis remains challenged by qualitative MRI assessment with significant inter-observer variability. While advanced AI-based quantitative methods ... read more

League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography.

Journal of imaging informatics in medicine Apr 20, 2026

Traditional radiology education is constrained by a restricted apprenticeship model and a scarcity of datasets structured for building artificial intelligence (AI)-based radiology education systems. To address this problem, we developed a novel end-t... read more

DisenKGE-DDI: A Knowledge Graph Embedding Framework Based on Disentangled Graph Attention Networks for Drug-Drug Interaction Prediction.

Interdisciplinary sciences, computational life sciences Apr 20, 2026

Combination therapy is an essential strategy for treating complex diseases. However, unintended drug-drug interactions (DDIs) can compromise therapeutic efficacy or even cause severe adverse reactions, posing significant challenges to clinical safety... read more

Artificial Intelligence Medical Compendium