AI Medical Compendium

Deep learning electrocardiogram model for risk stratification of coronary revascularization need in the emergency department.

European heart journal May 15, 2026

BACKGROUND AND AIMS: Identification of patients with acute coronary syndrome requiring coronary revascularization can be challenging due to inconclusive electrocardiogram (ECG) findings or biomarker results. A deep learning model to detect ECG patter... read more

Stacking-Dependent Interfacial Water Dynamics Govern the Aqueous Degradation of Layered LiCoO2 Cathodes.

ChemSusChem May 14, 2026

Despite their high energy density, layered cathode materials suffer from instability in aqueous lithium-ion batteries. LiCoO2, as a prototypical layered oxide cathode, exhibits a pronounced dependence of aqueous stability on oxygen stacking, with mar... read more

Machine-learning-accelerated simulations of vibrational activation for controlled photoisomerization in a molecular motor.

The Journal of chemical physics May 14, 2026

The precise manipulation of photochemical reactions across broad configurational spaces requires sophisticated design of external control fields. Using the photoisomerization of a molecular motor as a prototype, this study integrates enhanced samplin... read more

Short-Range Machine-Learning Potentials for Aqueous Electrolyte Solutions.

Chemphyschem : a European journal of chemical physics and physical chemistry May 14, 2026

Machine-learning potentials (MLPs) extend the time and length scales of atomistic simulations, enabling the study of complex systems, such as electrolyte solutions. Yet most models face a tradeoff between accuracy, computational cost, and the ability... read more

Image Distortion Correction for Diffusion MR Imaging Using a Transformer-based U-Net.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine May 14, 2026

PURPOSE: To evaluate the performance of a Transformer-based U-Net, TransDisCo, for distortion correction in clinical diffusion-weighted imaging (DWI), including high b-value DWI, diffusion tensor imaging (DTI), and diffusion kurtosis imaging (DKI) an... read more

A Novel MR Cine Sialography Technique for Evaluating Salivary Gland Function: Correlation with Unstimulated and Stimulated Saliva Volumes.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine May 14, 2026

PURPOSE: This study evaluated salivary gland function using MR cine sialography (MRCS) based on the time-spatial labeling inversion pulse (Time-SLIP) technique combined with a deep learning reconstruction-based denoising method (dDLR). Bilateral sali... read more

An intelligent lung nodule classification model using 3D Trans-DenseUnet++-based lung nodule segmentation.

Scientific reports May 14, 2026

Lung nodule detectionis necessary for lung cancer treatment, which is crucial for treating the patients. However, the current dataset comprises only a limited amount of lung Computed Tomography (CT) images, with a significant imbalance between non-no... read more

Digital Media Use and Psychosocial Health among Adolescent Boys and Young Men.

Current psychiatry reports May 14, 2026

PURPOSE OF REVIEW: To synthesize recent literature highlighting how and why adolescent boys and young men may face unique media-related psychosocial health risks and potential benefits. RECENT FINDINGS: Adolescent boys and young men appear to demonst... read more

Identification of Mitochondrial Dysfunction-Related Candidate Biomarkers and Analysis of the Immune Cell Infiltration in Epilepsy.

Molecular neurobiology May 14, 2026

Epilepsy is a severe neurological disorder with complex pathogenesis. Mitochondrial dysfunction (MitD) is increasingly recognized as a key driver of epileptogenesis and seizure generation, contributing to neuronal hyperexcitability and network instab... read more

CT-based interpretable delta-radiomics model for risk stratification of pulmonary ground-glass nodules: a multicentre study.

Insights into imaging May 14, 2026

OBJECTIVES: To develop and externally validate an interpretable fusion model combining multi-time-point CT radiomics with clinical-semantic features to predict invasiveness of pulmonary ground-glass nodules and support three-tier risk stratification.... read more

Artificial Intelligence Medical Compendium