Artificial Intelligence Medical Compendium

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

Showing 69,981 to 69,990 of 234,067 articles

Artificial superintelligence alignment in healthcare.

Japanese journal of radiology
The emergence of Artificial Superintelligence (ASI) in healthcare presents unprecedented opportunities for revolutionizing diagnostics, treatment planning, and population health management, but also introduces critical risks if these systems are not ... read more 

Perspectives from a workshop: intelligent assessment in the age of artificial intelligence.

Advances in physiology education
The advent of generative artificial intelligence (GenAI) is already impacting pedagogical strategies and assessment methodologies in higher education, particularly in the biological sciences, which have traditionally relied heavily on written assessm... read more 

Emerging trends in nuclear medicine: breakthrough in radiopharmaceuticals, Geant4 simulations, and AI integration.

Isotopes in environmental and health studies
Nuclear medicine has witnessed revolutionary progress, spurred by advances in radiopharmaceuticals, computational modeling, and artificial intelligence. These advances have not only improved cancer diagnosis and treatment but also broadened nuclear m... read more 

Identifying behavioral and biological predictors of cannabis vapor self-administration in rats.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
The recent wave of recreational cannabis legalization in the US has underscored the importance of identifying predictors of individual variability in cannabis use. While a subset of recreational cannabis users will go on to meet diagnostic criteria f... read more 

Making water knowledge with Artificial Intelligence: A qualitative study of expert interviews on water diplomacy.

Ambio
Water knowledge, understanding the current and future availability and needs of water, has been critical in negotiating international water disputes. Drawing from expert interviews, this article examines how Artificial Intelligence (AI) tools influen... read more 

SET-DGCN: An end-to-end electroencephalography-based fatigue detection method for young drivers.

Accident; analysis and prevention
Driver fatigue poses a critical threat to global road safety, particularly among young drivers. Nevertheless, policy-level interventions remain fragmented due to the lack of reliable and deployable detection technologies. Bridging this gap requires a... read more 

3D printed scaffolds regulated by neural-bone metabolic coupling promote bone unit regeneration.

Bioactive materials
The bone unit (BU) is a multicellular functional unit composed of neuromodulatory networks, bone tissue, and functional blood vessels. As a functional extension of bone regeneration, the BU coordinates neural signal, regeneration of the circulatory n... read more 

Revealing information from weak signals in electron energy-loss spectroscopy with a a deep denoiser.

Micron (Oxford, England : 1993)
Electron energy-loss spectroscopy (EELS) coupled with scanning transmission electron microscopy (STEM) is a powerful technique to determine materials composition and bonding with high spatial resolution. Noise is often a limitation especially with th... read more