Artificial Intelligence Medical Compendium

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

Showing 60,221 to 60,230 of 228,072 articles

Semi-Supervised Fatty Liver Classification Using Attention-Based Graph Neural Network Models.

Journal of Korean medical science
BACKGROUND: Fatty liver disease is a common condition linked to metabolic syndrome, cardiovascular diseases, and liver cirrhosis, and timely, accurate diagnosis is crucial. In clinical studies, incorporating deep learning models often faces the chall... read more 

Exploring artificial intelligence literacy's role in healthy behaviors and mental health.

World journal of psychiatry
Healthy behavior has long been linked to mental health outcomes. However, the role of artificial intelligence (AI) literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored. This paper presents a scoping re... read more 

Unlocking the silent signals: Motor kinematics as a new frontier in early detection of mild cognitive impairment.

World journal of psychiatry
The increasing global prevalence of mild cognitive impairment (MCI) necessitates a paradigm shift in early detection strategies. Conventional neuropsychological assessment methods, predominantly paper-and-pencil tests such as the Mini-Mental State Ex... read more 

CT deep learning radiomics and genomics for predicting staging of epithelial ovarian cancer.

International journal of surgery (London, England)
BACKGROUND: Accurate preoperative staging is critical for improving the prognosis, treatment, and survival outcomes of epithelial ovarian cancer (EOC) patients. PURPOSE: To develop and validate a novel model, associating computed tomography (CT)-base... read more 

Using large language model-based artificial intelligence (AI) suspects to train strategic use of evidence: Preliminary evidence of transfer to mock suspect interviews.

Law and human behavior
OBJECTIVE: The strategic use of evidence (SUE) is a technique that aims to improve the ability to differentiate between liars and truth-tellers. However, while theoretical training provides guidance on interview techniques, it lacks opportunities for... read more 

Connectome-based predictive modelling of problematic gaming in youth from the ABCD study.

Journal of behavioral addictions
BACKGROUND: Despite the rapid growth in gaming consumption and associated harms in adolescents, data-driven research to identify brain networks underlying problematic gaming remains limited. This study aimed to identify neural networks predictive of ... read more 

The use of artificial intelligence in decreasing vaccine skepticism and hesitancy.

Current opinion in pediatrics
PURPOSE OF REVIEW: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies that analyze and mitigate vaccine skepticism by implementing artificial intelligence strategies in vari... read more 

Using artificial intelligence to advance pediatric infection prevention and control.

Current opinion in pediatrics
PURPOSE OF REVIEW: Recent literature describes the deployment of different artificial intelligence (AI) technologies to potentially support infection prevention and control (IP&C) in both the community and healthcare environment. However, most studie... read more 

Evolution of the gut microbiome in infancy: recent advances.

Current opinion in clinical nutrition and metabolic care
PURPOSE OF REVIEW: The early-life gut microbiome is a dynamic ecosystem that alongside other niches, such as the oral and skin microbiomes, undergoes rapid assembly and genetic evolution from birth through to adulthood. Although it was originally con... read more