Artificial Intelligence Medical Compendium

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

Showing 67,821 to 67,830 of 232,834 articles

Single-step extraction & plasmonic sensing of sulphur in fuels using machine learning analysis of RGB images.

Analytica chimica acta
BACKGROUND: Mercaptans are compounds of great concern because they are one of the main sources of sulphur in fuels and can reduce engine performance. Diesel-biodiesel blends have partially replaced diesel fuel as part of efforts to promote greener en... read more 

Fully automated Res3DNet model to predict IDH mutation of gliomas from whole-brain MRI free of tumor segmentation.

iScience
Accurate prediction of IDH mutation status in gliomas is critical for guiding diagnosis, prognosis, and treatment planning. We enrolled 2,537 preoperative MRI of glioma patients (mean age 55.91 ± 14.79, 1,063 females) from 11 different datasets, cons... read more 

Pixel-scale satellite forecasting of cyanobacteria in Florida lakes.

Harmful algae
Rapid proliferation of potentially toxin-producing cyanobacteria (cyanobacterial harmful algal blooms, cHABs) is a significant challenge for water resource managers. The U.S. Harmful Algal Bloom and Hypoxia Research Control Act calls for robust appro... read more 

Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements.

iScience
Polygenic risk scores (PRSs) are becoming an important component of precision medicine, supporting earlier disease prediction and preventive strategies. This review summarizes current applications of PRS, future directions, and key considerations for... read more 

Visual Field Estimation in X-Linked Retinitis Pigmentosa Associated with Retinitis Pigmentosa GTPase Regulator (RPGR) from Image Analysis Using Artificial Intelligence.

Ophthalmology science
PURPOSE: To develop an efficient approach to estimating visual field (VF) in patients with X-linked retinitis pigmentosa (RP) based on macular OCT scans. DESIGN: Retrospective analysis of patients who were enrolled in a natural history study at Moorf... read more 

Deep learning for pediatric femoral neck fracture detection in a multicenter study.

iScience
Pediatric femoral neck fractures (FNFs) are uncommon but may result in severe complications if undiagnosed. This study developed a deep learning model for automated detection and localization of FNFs on pediatric hip radiographs. The model was traine... read more 

Sex-specific cardiovascular risk prediction using AI-derived epicardial adipose tissue measurements on CT calcium scoring exams.

American journal of preventive cardiology
BACKGROUND: The Agatston CAC score from CT-calcium scoring (CTCS) is a standard guideline recommended measure for cardiovascular risk assessment that quantifies calcified plaque burden. However, many studies have reported lower discrimination of CTCS... read more 

Comparative evaluation of low- and high-field 1H NMR for vegetable oil authentication: classification, quantification, and routine applicability.

Talanta
The authentication of vegetable oils is essential for consumer protection and regulatory compliance. This study compares low-field (LF, 100 MHz) and high-field (HF, 600 MHz) proton nuclear magnetic resonance (1H NMR) spectroscopy to evaluate their pe... read more 

Intelligent electroencephalogram feature engineering for rapid mental health diagnosis.

Psychiatry research. Neuroimaging
Schizophrenia is one of the serious disorders and, if left untreated, can result in a range of problems with cognition, behavior, and emotions that affect every area of life. Diagnosis based on behavioral and clinical investigations remains difficult... read more