Artificial Intelligence Medical Compendium

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

Showing 65,351 to 65,360 of 231,904 articles

Unveiling sodium storage mechanisms in hard carbon via machine learning-driven simulations integrated with accurate site occupation identification.

Chemical science
Hard carbon (HC) has attracted considerable interest as a promising anode material for sodium-ion batteries (SIBs) due to its high specific capacity, excellent cycling stability, and cost-effectiveness. Nevertheless, the sodium storage mechanism in H... read more 

Machine learning-based multi-class classification of bladder pathologies using fused 3D CT radiomic and 3D auto-encoder deep features.

European journal of radiology open
OBJECTIVE: To develop an automated analytical framework that integrates hybrid radiomics and deep learning features from non-contrast CT images for the multi-class classification of bladder pathologies. METHODS: This retrospective study analyzed 902 ... read more 

Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial Intelligence.

Journal of the American College of Emergency Physicians open
OBJECTIVES: The objective was to develop an artificial intelligence (AI) model for predicting acute coronary occlusion myocardial infarction (OMI) in patients with chest pain at the emergency department (ED), using information that is widely availabl... read more 

Efficient multi-agent communication via entity-aware causal network.

Neural networks : the official journal of the International Neural Network Society
Communication is considered as a crucial approach for solving complicated multi-agent reinforcement learning (MARL) cooperative tasks. However, existing approaches rely on predefined agent orders and identifiers to learn targeted communication. The p... read more 

MLGO: Multi-Layer graph neural ODEs for traffic forecasting.

Neural networks : the official journal of the International Neural Network Society
Spatial-temporal graph neural networks have become increasingly prominent in traffic forecasting, driven by the inherently graph-structured nature of traffic networks. While temporal dependencies have been extensively studied, spatial correlations re... read more 

Point-Deeponet: Predicting nonlinear fields on non-Parametric geometries under variable load conditions.

Neural networks : the official journal of the International Neural Network Society
Nonlinear structural analyses in engineering often require extensive finite element simulations, limiting their applicability in design optimization and real-time control. Conventional deep learning surrogates often struggle with complex, non-paramet... read more 

ReTri: Progressive domain bridging via representation disentanglement and triple-level consistency-driven feature alignment for unsupervised domain adaptive medical image segmentation.

Neural networks : the official journal of the International Neural Network Society
Unsupervised domain adaptation (UDA) in medical image segmentation presents significant challenges due to substantial cross-domain disparities and the inherent absence of target domain annotations. In this study, to address these challenges, we propo... read more 

Artificial intelligence application in the prediction of spontaneous preterm birth by cervical length in the first trimester of pregnancy: Comparison of three measurement methods.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVES: The current study evaluates the efficacy of artificial intelligence (AI)-assisted measurement of cervical length (CL) in predicting spontaneous preterm birth (sPTB), comparing the traditional single-line and two-line methods with the inno... read more 

Emerging applications of artificial intelligence for obstetric ultrasound: A scoping review.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
BACKGROUND: The WHO recommends that all pregnant women receive an ultrasound (US) scan prior to 24 weeks gestation to encourage early identification of various conditions, such as fetal anomalies, multiple gestation, and placental abnormalities; howe... read more 

Rise of AI-generated open-access review articles after ChatGPT: A case example in inflammatory bowel disease.

Journal of investigative medicine : the official publication of the American Federation for Clinical Research
Biomedical review articles are important for education, evidence synthesis, and clinical decision-making. Large language models such as ChatGPT may contribute to a surge in the number of AI-written reviews, raising concerns about the quality and reli... read more