AI Medical Compendium

pedQTNet: A Deep Learning Approach to Estimate Corrected QT Intervals from Multi-Lead Conventional ECG Waveforms in Pediatric Patients.

Journal of medical systems Jun 3, 2026

Long QT syndrome (LQTS) is a primary risk factor for ventricular arrhythmias and sudden cardiac death in children. Accurate corrected QT intervals (QTc) measurement is imperative but challenging for non-heart-rhythm specialists, especially in childre... read more

Machine Learning-Assisted KCl-CaCl2-LiCl Electrolyte Design for Low-Temperature, High-Performance Calcium-Based Liquid Metal Batteries.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 3, 2026

Calcium-based liquid metal batteries are promising for large-scale energy storage due to calcium abundance and low cost, yet their practical applications are impeded by high operating temperatures, severe self-discharge, limited coulombic efficiency,... read more

The use of logic for machine learning models in sepsis.

Intensive care medicine experimental Jun 3, 2026

A systematic review of molecular signaling in the muscle-brain-gut axis: exercise-induced myokines and microbial metabolites as key mediators.

Molecular biology reports Jun 3, 2026

Exercise physiology is evolving from an organ-based framework toward a systems-level understanding, where molecular interactions between muscle, brain, and the gut microbiome critically influence performance and health. This review systematically exa... read more

Toward decision-grade interpretability in melting-transition modeling: integrating uncertainty, applicability domains, activity cliffs, and reproducibility in molecular machine learning.

Journal of molecular modeling Jun 3, 2026

An artificial intelligence solution for evaluation of prostate needle core biopsy specimens: impact in a non-specialist setting.

Virchows Archiv : an international journal of pathology Jun 3, 2026

The diagnosis of prostate cancer rests on the histopathological evaluation of prostate needle core biopsy specimens (NCBS) supplemented by immunohistochemistry as required. Because of the well-known interobserver variability in diagnosis and grading ... read more

A multimodal prediction framework for colorectal cancer peritoneal metastasis: CT-based tumor and adipose tissue analysis.

Abdominal radiology (New York) Jun 3, 2026

Accurate preoperative assessment of CT-occult peritoneal metastasis (PM) in colorectal cancer is critical for clinical decision-making. This study demonstrates that radiomic features derived from visceral adipose tissue (VAT) provide substantial pred... read more

Multiparametric MRI-Based Habitat Radiomics Combined with Deep Transfer Learning for Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma.

Journal of imaging informatics in medicine Jun 3, 2026

The objective of the study is to develop and validate a multiparametric MRI (mpMRI)-based model that integrated with habitat-based radiomics, deep transfer learning (DTL), and quantitative parameters for the preoperative prediction of extrathyroidal ... read more

A Hybrid Deep Learning Framework with Supervised Contrastive Learning for Robust Seizure Detection in Long-Term EEG.

Journal of medical systems Jun 3, 2026

Accurate and timely automatic detection of epileptic seizures is crucial for reducing the workload for visually inspecting long-term electroencephalogram (EEG) and improving diagnostic efficiency. However, this task remains a critical challenge owing... read more

Deep learning for early detection of Zenker's diverticulum based on swallowing sound analysis.

International journal of computer assisted radiology and surgery Jun 3, 2026

PURPOSE: Patients with Zenker's diverticulum (ZD) often suffer from oropharyngeal dysphagia that can go undiagnosed for years. Diagnosis of ZD typically requires specialized centers and videofluoroscopy. Our study aims to create a noninvasive, access... read more

Artificial Intelligence Medical Compendium