Artificial Intelligence Medical Compendium

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

Showing 38,431 to 38,440 of 223,469 articles

AI and Nursing: Complicating the Narrative of Inevitability.

The American journal of nursing
Powerful tools are transforming nursing work faster than we understand. read more 

The Menendez Brothers and Shifting Attitudes Over 35 Years.

The American journal of nursing
BACKGROUND: Parricide is an exceptionally rare phenomenon, constituting approximately 2% to 3% of all homicides in the United States. Double parricide, involving multiple victims and/or offenders, is even less common. The most famous case of double p... read more 

AI-led intervention may be viable option for diabetes prevention.

The American journal of nursing
ACCORDING TO THIS STUDY. read more 

An adaptive multi-scale spatio-temporal graph network for robust MOOC dropout prediction.

Scientific reports
Accurately predicting student dropout in Massive Open Online Courses (MOOCs) remains a critical challenge in educational data mining. While Spatio-Temporal Graph Neural Networks (STGNNs) have shown promise, established frameworks typically rely on fi... read more 

Investigating expectations and needs regarding the use of large language models at Bavarian university clinics.

Scientific reports
Recent advancements in Artificial Intelligence (AI) have been driven by Large Language Models (LLMs), powerful tools capable of generating coherent text and solving diverse analytical tasks. While LLMs hold great potential to enhance healthcare by as... read more 

Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank.

NPJ digital medicine
Scoliosis is the most common developmental spinal deformity, but its genetic underpinnings remain only partially understood. To identify scoliosis-related loci, we utilized dual energy X-ray absorptiometry (DXA) scans from 57,588 individuals in the U... read more 

Development of a pKa predictor (pKaLearn) by leveraging teaching experience to improve machine learning.

Communications chemistry
Machine learning (ML) is gaining momentum in chemistry for the prediction of various molecular properties. However, these models are often trained on relatively scarce, sometimes low-quality data, resulting in what we describe as memorization (rather... read more 

Could ChatGPT and co. replace forensic experts? A comparative study on medical liability expertise.

International journal of legal medicine
Artificial intelligence is expected to play an increasingly significant role in both medicine and law. The performance of generative artificial intelligence (GAI) models observed since 2022 may encourage consideration of their use in forensic experti... read more 

A Multimodal deep learning method for predicting drug-induced liver injury using structural and sequential molecular representations.

Journal of computer-aided molecular design
Drug-induced liver injury (DILI) remains one of the leading causes of drug development failure and post-marketing withdrawal. Despite recent advances in computational modeling, many existing approaches rely heavily on structural features such as mole... read more