Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 18,161 to 18,170 of 214,278 articles

Testing the mutation accumulation hypothesis in aging with AlphaGenome

bioRxiv
The mutation accumulation (MA) hypothesis posits that somatic mutations progressively escape selection and degrade tissue function during aging. Direct tests of this idea have been limited by the difficulty of predicting, at scale, the molecular cons... read more 

Predicting high excess risk of hyponatraemia among thiazide users.

European journal of preventive cardiology
AIMS: Hyponatraemia is a potential serious adverse drug reaction to treatment with thiazide diuretics. This study aimed to determine whether individuals at high risk of developing thiazide-induced hyponatraemia can be identified before treatment init... read more 

Digital profile of children's hearts: automated echocardiogram strain analysis facilitates earlier detection of cardiac dysfunction.

European heart journal
BACKGROUND AND AIMS: Paediatric myocardial strain analysis through echocardiography is often characterized by high variance and limited precision, highlighting the need for a standardized and vendor-agnostic approach applicable for diverse image qual... read more 

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

European heart journal
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
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
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
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
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
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