Artificial Intelligence Medical Compendium

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

Showing 401 to 410 of 200,021 articles

Integrating multisequence radiomics and clinical features to predict seizure recurrence after gross total resection of pediatric low-grade epilepsy-associated brain tumors.

Neuroradiology Jun 3, 2026
OBJECTIVE: This study aimed to develop a predictive model integrating clinical features and multisequence MRI radiomics to forecast postoperative seizure outcomes in pediatric patients with low-grade epilepsy-associated tumors (LEATs) who underwent g... read more 

Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.

Signal transduction and targeted therapy Jun 3, 2026
The integration of multiomics technologies with artificial intelligence (AI) has become a transformative force in modern precision medicine, particularly within drug discovery. Multiomics approaches, including genome-wide association studies, transcr... read more 

Integrating machine learning and WGCNA to identify core candidate genes and decipher immune-related molecular networks in TcdA/TcdB-associated CDI.

Antonie van Leeuwenhoek Jun 3, 2026
Clostridioides difficile infection (CDI) remains a leading cause of healthcare-associated diarrhea and is characterized by high recurrence rates and inadequate predictive tools despite available therapeutic options. Current toxin- or nucleic acid-bas... read more 

Investigating the structure of the greylag goose vocal repertoire: what can unsupervised methods tell us?

Scientific reports Jun 3, 2026
Defining a comprehensive signal repertoire is an important step to understanding a species' vocal communication system. Here, we investigated the vocal repertoire of a well-investigated model species in ethology: the greylag goose (Anser anser). We a... read more 

A LSTM-based model predictive control method for unlocking the potential of building energy flexibility in Malaysian commercial buildings.

Scientific reports Jun 3, 2026
Buildings are regarded as promising energy flexibility resources due to their significant energy consumption and better integration into the electricity grid. To fully exploit the potential of building flexibility in tropical climates, optimized oper... read more 

Tri-MCA fusion: cross-modal attention and dynamic gating for multimodal sentiment analysis.

Scientific reports Jun 3, 2026
Multimodal sentiment analysis aims to automatically infer human emotions by jointly analyzing information from multiple modalities, such as text, audio, and visual signals. Although recent deep learning approaches have significantly improved multimod... read more 

Machine learning and deep learning-based drug-drug interactions prediction: a systematic review focused on anticancer drugs.

NPJ precision oncology Jun 3, 2026
Cancer patients are particularly susceptible to Drug-Drug Interactions (DDIs) due to frequent polypharmacy in oncology care. Co-administered drugs can increase toxicity or reduce effectiveness, potentially causing serious adverse events-for example, ... read more 

Semi-automated detection of cleaning interactions using supervised machine learning.

Scientific reports Jun 3, 2026
Cleaner fish engage in mutualistic interactions by removing ectoparasites from client species, a behaviour that has traditionally been quantified through labour-intensive manual video analysis. This method is not only time-consuming but also suscepti... read more 

Smartphone-based Detection of Group A Streptococcal Pharyngitis in Ugandan Children: A Pilot Study.

The Pediatric infectious disease journal Jun 3, 2026
Prompt diagnosis of group A streptococcal pharyngitis is essential for primary prevention of acute rheumatic fever and rheumatic heart disease, yet affordable point-of-care diagnostics remain limited in low-resource settings. We conducted a prospecti... read more 

Health behavior risk prediction in metabolic syndrome patients: development and validation of an interpretable machine learning model via multisource heterogeneous data integration.

BMC medical informatics and decision making Jun 3, 2026
BACKGROUND: Metabolic syndrome (MetS) represents a major public health challenge in rural populations, particularly in resource-limited regions such as southern Xinjiang, China. Unhealthy behaviors serve as key modifiable drivers of MetS progression;... read more 
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