Artificial Intelligence Medical Compendium

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

Showing 43,061 to 43,070 of 223,853 articles

Leveraging proteomics and machine learning for mechanism and biomarker discovery on glioma progression and transformation: from LGG to GBM.

Human genomics
BACKGROUND: Glioma was the most common malignant tumor of the central nervous system in adults. Low-grade gliomas (LGGs) have a potential of grade progression and histological transformation, and the relevant mechanisms of this malignant evolution we... read more 

Distinct Prescription Patterns Emerge Years Before ALS Diagnosis: A Nationwide Registry-Based Study.

Annals of neurology
OBJECTIVE: The prodromal phase of amyotrophic lateral sclerosis (ALS) is poorly defined. We aimed to characterize prescription drug use patterns in the pre-diagnostic period by analyzing nationwide prescription data to identify the earliest divergenc... read more 

A SEM-ANN analysis to examine impact of AI overreliance through a social cognitive lens: the roles of dependency, FOMO, addiction, and anxiety.

BMC psychology
The rapid integration of artificial intelligence (AI) has transformed how people learn, work, and make decisions, while raising growing concerns about AI overreliance. Drawing on Social Cognitive Theory (SCT), we investigated how AI dependency, fear ... read more 

Enhanced predictive performance of artificial intelligence in individualized ovarian stimulation of in vitro fertilization: a retrospective cohort study.

BMC medicine
BACKGROUND: Over 2.5 million cycles in vitro fertilization (IVF) are conducted annually, and numbers are expected to rise with the aging population. The controlled ovarian stimulation (COS) process, key to IVF success, is inherently complex. Given ad... read more 

Non-destructive monitoring of root biomass in hydroponically grown leafy vegetables: comparison between machine learning-based RGB and hyperspectral imaging.

Plant methods
BACKGROUND: Root biomass serves as a critical indicator of plant eco-physiological status and crop productivity, yet its non-destructive monitoring remains challenging because of its underground location. The use of transparent nutrient film techniqu... read more