Artificial Intelligence Medical Compendium

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

Showing 47,831 to 47,840 of 224,199 articles

Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation.

Journal of neural engineering
OBJECTIVE: Machine learning (ML) models are increasingly used to generate electrical stimulation patterns in neuroprosthetic devices such as visual prostheses. While these models promise precise and personalized control, they also introduce new safet... read more 

Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure.

Circulation. Heart failure
BACKGROUND: ECG-based artificial intelligence may enable efficient prediction of incident heart failure (HF) risk to facilitate preventive efforts. Prior models are proprietary, with modest or inconsistent accuracy. We sought to develop and validate ... read more 

The influence of age and the presence of prostate cancer on prostate volume, PSA and PSA density.

BJU international
OBJECTIVE: To assess prostate volume (PV) changes with age in symptomatic and asymptomatic men with and without clinically significant prostate cancer (csPCa). In symptomatic patients, we additionally analysed the effect of age and csPCa on PSA and P... read more 

Vocal biomarkers for geriatric health assessment: a scoping review protocol.

BMJ open
INTRODUCTION: Global ageing populations require accessible, non-invasive tools for early detection and monitoring of neurological chronic and neurodegenerative diseases. Current diagnostic methods face limitations including invasiveness, high costs a... read more 

Retinal vascular alteration following surgical intraocular pressure reduction in primary angle closure disease.

BMJ open ophthalmology
AIMS: To investigate retinal vascular geometric alterations following intraocular pressure (IOP)-lowering surgery in patients with primary angle closure disease (PACD) and determine associations between IOP reduction magnitude and retinal vascular pa... read more 

Rapid response teams for new leaders: a narrative review of global evidence and implementation strategies with a focus on Japan.

BMJ open quality
BACKGROUND: Rapid response systems (RRSs) are designed to detect and treat physiological deterioration before cardiac arrest occurs. Since 2020, Japan has seen a rapid increase in RRS adoption; however, most new team members have not received formal ... read more 

AI-Based STroke Risk fActor Classification and Treatment (ABSTRACT) study.

Stroke and vascular neurology
BACKGROUND: Stroke is a leading cause of death and disability worldwide, costing the UK approximately £26 billion annually. While lifestyle modification and preventative medications reduce risk, 30% of patients with stroke have no identifiable risk f... read more 

Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age.

Nature communications
We previously constructed a qualitative, 3D ultrasound derived atlas of the normative spatiotemporal dynamics of fetal brain maturation. Here, using the same healthy multi-national cohort, we applied deep learning methods to 4205 fetal brain scans fr... read more 

Universal framework for efficient estimation of stability in multi-principal element alloys.

Nature communications
Predicting the synthetic accessibility of multi-principal element alloys (MPEAs) across the global chemical space remains a challenge. In this study, we show that the synthesizability of MPEAs across broad compositional and structural spaces can be p... read more 

Intermediates of forming transition metal dichalcogenide heterostructures revealed by machine learning simulations.

Nature communications
Two-dimensional (2D) transition metal dichalcogenide (TMD) van der Waals heterostructures (vdWHs) hold promise for high-performance electronics, but their large-scale synthesis remains limited by size constraints and alloying contaminations. Recently... read more