Artificial Intelligence Medical Compendium

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

Showing 24,601 to 24,610 of 217,425 articles

Navigating the Challenges of Artificial Intelligence in Scholarly Writing.

Pain management nursing : official journal of the American Society of Pain Management Nurses
read more 

Capturing induced-fit effects: A geometry-aware and interpretable framework for robust drug-target affinity prediction.

Journal of molecular graphics & modelling
Accurate drug-target affinity (DTA) prediction is pivotal for virtual screening, yet practical reliability is often limited by the static treatment of molecular interactions and the "black-box" nature of deep learning models. In biological reality, b... read more 

Temporal trends in large language model (LLM) accuracy: A meta-analysis of multiple-choice question performance in dentistry and dental education.

Journal of dentistry
OBJECTIVES: Studies have investigated the potential applications of Large Language Models (LLMs) in dental education. As LLMs evolve, it is necessary to determine the extent to which their accuracy improves before they can be integrated into dental c... read more 

Exploratory decoding of TMS-EEG: Predicting TEP response to intermittent and continuous theta burst stimulation.

NeuroImage
Theta burst stimulation (TBS) is a promising form of repetitive transcranial magnetic stimulation (rTMS) capable of modulating cortical excitability and intracortical processes, offering therapeutic potential for neurological and psychiatric disorder... read more 

FINS: An interactive platform for automated zebrafish image analysis and morphological screening.

SLAS technology
MOTIVATION: Zebrafish embryo assays are increasingly recognized as a robust and scalable model for developmental toxicity screening due to embryos' optical transparency, rapid organogenesis, and high genetic and physiological conservation with humans... read more 

Predicting early and complete drug release from long-acting injectables using explainable machine learning.

International journal of pharmaceutics
Polymer-based long-acting injectables (LAIs) have transformed the treatment of chronic diseases by enabling controlled drug delivery, thus reducing dosing frequency and extending therapeutic duration. Achieving controlled drug release from LAIs requi... read more 

Microbial decomposition in experimental single and mass graves: New insights on post-burial interval estimation.

Forensic science international. Genetics
Soil microbiomes are increasingly recognized as valuable indicators in forensic investigations, but microbial dynamics in mass graves remain poorly understood. This study investigates differences in microbial succession between individual graves (IG)... read more 

Machine learning to diagnose, classify and predict phenoconversion in isolated REM sleep behavior disorder.

Sleep medicine reviews
Rapid eye movement (REM) sleep behaviour disorder (RBD), particularly its idiopathic/isolated form (iRBD), is a prodromal marker for α-synucleinopathies, including Parkinson's disease, dementia with Lewy bodies and multiple system atrophy. Machine le... read more 

A dynamic proteomic signature for the prediction of lung Cancer: a longitudinal analysis in the UK Biobank cohort.

Lung cancer (Amsterdam, Netherlands)
BACKGROUND: To understand the molecularly obscure pre-diagnostic phase of lung cancer, we mapped the temporal evolution of the plasma proteome for new biological insights and improved risk prediction. METHODS: Leveraging the UK Biobank prospective co... read more 

Explainable detection of machine generated music and early systematic evaluation.

Scientific reports
Machine-generated music (MGM) has become a groundbreaking innovation with wide-ranging applications, such as music therapy, personalised editing, and creative inspiration within the music industry. However, the unregulated proliferation of MGM presen... read more