Artificial Intelligence Medical Compendium

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

Showing 26,591 to 26,600 of 218,283 articles

A Comparative Study of QSPR Methods on a Unique Multitask PAMPA Data Set.

Journal of chemical information and modeling
We present a unique, multitask data set comprising 143 drug and drug candidate molecules, each evaluated on in vitro parallel artificial membrane permeability assays (PAMPA) using six different model membranes. Using this resource, we systematically ... read more 

Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average-Risk Populations, and Future Directions.

International journal of cancer
Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characterized by an accelerated adenoma-carcinoma sequence, a relatively higher prevalence of flat and subtle CRC precursor lesions, and exceptionally high aden... read more 

Inter-observer variability is unlikely to explain regional differences in retinopathy of prematurity in Norway.

Acta ophthalmologica
PURPOSE: To test inter-observer variation of plus disease diagnoses among Norwegian ophthalmologists and treatment centres. METHODS: All ophthalmologists in Norway who make individual retinopathy of prematurity (ROP) treatment decisions were invited ... read more 

Solvent-Anion Counterpoised Electrolyte Enables High-Rate Magnesium Metal Batteries.

Angewandte Chemie (International ed. in English)
Magnesium batteries are compelling post-lithium energy storage candidates but suffer from sluggish charge transfer kinetics, fundamentally restricted by the high energy barrier of Mg2+ desolvation. Herein, we address the compact and tenacious solvati... read more 

High-Performance Infrared Nonlinear Optical Crystals Discovery Guided by High-Throughput Computation, Machine Learning, and Experimental Verification.

Angewandte Chemie (International ed. in English)
Infrared nonlinear optical (NLO) materials are essential for laser and photonic technologies, limited by fragmented material systems, lengthy development cycles, and trial-and-error synthesis. To overcome these barriers, we developed an integrated co... read more 

A Novel Breast Arterial Calcification Age-Based Percentile Nomogram for the Incremental Prediction of Incidental Cardiovascular Events.

JACC. Cardiovascular imaging
BACKGROUND: Breast arterial calcification (BAC) detected on routine mammography is an emerging marker of cardiovascular risk in women. However, substantial age-related variability limits its clinical interpretability. Age-adjusted nomograms may impro... read more 

Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

Computers in biology and medicine
BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient unilateral motor weakness. Although familial forms are associated with variants in CACNA1A, ATP1A2, and SCN1A genes, many cases remain genetically un... read more 

Dango: Predicting higher-order genetic interactions.

Cell systems
Higher-order genetic interactions have profound implications for understanding the molecular mechanisms of phenotypic variation, yet they remain poorly characterized. Most studies focus on pairwise interactions because high-throughput screens over th... read more 

Prediction of Pregnancy-Related Cardiovascular Outcomes Using Electrocardiogram-Based Deep Learning Estimation of Cardiorespiratory Fitness.

JACC. Advances
BACKGROUND: Peak oxygen consumption (peak VO2), the gold standard measure of cardiorespiratory fitness, may identify women at high risk for pregnancy-related cardiovascular (CV) complications, but ascertainment is not widely scalable. We previously d... read more 

AI-Based Denoising for Simulated Dose Reduction in Pediatric Chest Radiography: A Prospective Multicenter Evaluation of Image Quality and Diagnostic Performance.

Academic radiology
RATIONALE AND OBJECTIVES: Radiation dose reduction in pediatric chest radiography is a clinical priority due to increased radiosensitivity and cumulative lifetime risk. However, substantial dose reduction may degrade image quality and compromise diag... read more