Artificial Intelligence Medical Compendium

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

Showing 62,541 to 62,550 of 230,507 articles

Uniform Design-Embedded Predictions of (Tetra-)Peptide Physicochemical Properties.

Bioinformatics (Oxford, England)
MOTIVATION: Short peptides hold significant promise in drug discovery and materials science due to their biocompatibility, multifunctionality, ease of synthesis, etc. However, accurately predicting their physicochemical properties, a prerequisite for... read more 

textToKnowledgeGraph: Generation of Molecular Interaction Knowledge Graphs Using Large Language Models for Exploration in Cytoscape.

Bioinformatics (Oxford, England)
MOTIVATION: Knowledge graphs (KGs) are powerful tools for structuring and analyzing biological information due to their ability to represent data and improve queries across heterogeneous datasets. However, constructing KGs from unstructured literatur... read more 

Curvature Engineering of SiFe Dual-Atom Catalysts for Enhanced CO2 Electroreduction.

The journal of physical chemistry letters
Geometric tuning of supports is an emerging strategy to optimize catalysts, yet its role in governing the synergy of heteronuclear p-d dual-atom catalysts (DACs) is unexplored. Using carbon nanotubes (CNTs) as tunable curvature substrates, we investi... read more 

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