Artificial Intelligence Medical Compendium

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

Showing 63,501 to 63,510 of 230,801 articles

Development of a machine learning model for predicting right-sided colon cancer recurrence: A retrospective single center pilot study.

Revista de gastroenterologia de Mexico (English)
INTRODUCTION AND AIM: Right-sided colon cancer (RSCC) is characterized by distinct clinical features and recurrence patterns. Our study aimed to develop a predictive model for distant recurrence in patients with RSCC who underwent curative surgery, e... read more 

Automated Gross Tumor Volume (GTV) Contouring in High-Grade Gliomas Using a Deep Learning Approach.

Academic radiology
RATIONALE AND OBJECTIVES: Accurate contouring of the Gross Tumor Volume (GTV) in High-Grade Gliomas (HGGs) is a cornerstone of effective Radiation Therapy (RT) planning, as it influences tumor control and spares normal tissue, thereby directly impact... read more 

[Study of the performances of conversational agents in interpreting textual description of lesions in pathology].

Annales de pathologie
The applications of artificial intelligence (AI) in anatomical and cytological pathology (ACP) are growing, particularly in image analysis. Conversational agents (CAs) based on large language models may also be useful as helps in the analysis of ACP ... read more 

Flux dynamics and scenario simulation of PFAS under extreme hydrological perturbations in urban tributary flowing into the Yangtze River: A focus on floods.

Journal of hazardous materials
Floods considerably amplify pollutant transfer into the Yangtze River (YZR) via tributaries. We explored flood-induced changes in PFAS pollution patterns and flux dynamics from urban tributaries into the YZR to assess the threats that floods pose to ... read more 

MAGED: Multimodal attentive graph learning with gene expression dynamics on knowledge graphs for TCM target prediction.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Plants used in traditional medicine have long provided valuable clues for drug discovery, yet systematically connecting their documented therapeutic effects with modern understanding of biological mechanisms remains a ... read more 

Machine learning frameworks for predicting pulmonary cell toxicities induced by metal ions in the atmosphere.

Environmental pollution (Barking, Essex : 1987)
Metals in PM2.5 are closely associated with cardiopulmonary disease endpoints, potentially attributable to ionic species-induced oxidative stress effects. Computational prediction of metal ion respiratory toxicity remains challenging due to complex v... read more 

Systematic optimisation of carrier particle geometry in interactive powder mixtures via a parametric design approach using Bayesian Optimisation.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
In this study, a systematic approach for improving the carrier particle geometry in interactive mixtures was conducted. For the evaluation of the geometries, an in-silico model was used, which allowed the creation of a carrier particle loaded with dr... read more