Artificial Intelligence Medical Compendium

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

Showing 29,481 to 29,490 of 219,931 articles

Physics-informed deep learning for rapid marine radionuclide dispersion forecasting in nuclear emergency response.

Journal of environmental radioactivity
In the event of a severe nuclear accident at a coastal nuclear power plant, the rapid and accurate assessment of radionuclide dispersion in surrounding coastal waters is critical for effective emergency response. To overcome the inherent latency and ... read more 

Evolving role of biomarkers in spinal cord injury: From research to clinical translation.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Spinal cord injury (SCI) triggers a complex cascade of cellular and molecular events at the lesion site, driving progressive degeneration of the spinal cord. This increases the level of disability over time and also significantly diminishes the prosp... read more 

Exploring student motivations for AI usage in education: Nisantasi in Turkey, a case study.

Acta psychologica
The purpose of this study wasto examine the main triggers that drive students to adopt artificial intelligence (AI) platforms at university level. Thestudy seeks to build and test a conceptual model of the factors that drive student use of AI-enhance... read more 

AI in design education: Factors affecting students' professional learning adaptability.

Acta psychologica
Against the backdrop of accelerated reconstruction of the design-education ecosystem by artificial intelligence, this study focuses on the core issue of insufficient adaptability of design-major college students to AI-supported learning environments ... read more 

Cell shapes decode molecular phenotypes in image-based spatial proteomics.

Cell systems
Cellular and tissue structures arise from a few cell shapes, which undergo transformations based on biophysical constraints. Despite links between signaling pathways and cellular geometry, whole-proteome orchestration in association with cell shape i... read more 

Distinct signatures in the human gut and oral microbiomes of gastric cancer.

Cell reports. Medicine
Microbiome dysbiosis is increasingly recognized as a hallmark of gastric cancer (GC). Here, we analyzed gut and oral shotgun metagenomic data from 317 individuals across two independent cohorts, with validation in a Harbin cohort. We identify 20 oral... read more 

Dentate gyrus interneurons modulate winner-take-all network dynamics in freely behaving mice.

Neuron
The hippocampal dentate gyrus (DG) segregates input patterns aided by inhibitory circuits. Despite their importance, few studies have recorded identified DG interneurons in behaving animals. Here, we used electrophysiological recordings, bidirectiona... read more 

A protein surface-aware multimodal framework for residue-level metal-binding site recognition.

Cell reports methods
Accurate identification of metal-binding sites is essential for elucidating metalloprotein functions in cellular processes. Here, we introduce MetalBind, a protein surface-aware, multimodal deep learning framework tailored for residue-level recogniti... read more 

Cauchy Lotus Optimization-based feature selection and ResNet 101 based XceptionNet architecture for radiation pneumonitis prediction in lung cancer patients.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Thoracic radiotherapy for lung cancer patients followed by radiation pneumonitis (RP) has significant clinical side effects. Risk-adaptive treatment planning can be supported by accurate early RP prediction. Using thoracic CT scans, this study sugges... read more 

Development of Novel and Interpretable Automated Models for Predicting Total Knee Replacement in Knee Osteoarthritis: An International Multicenter Study.

Academic radiology
RATIONALE AND OBJECTIVES: Subtle changes in the infrapatellar fat pad (IPFP) enable prediction and quantification of knee osteoarthritis (KOA). This study aimed to develop a bimodal model for predicting the risk of KOA progression to total knee repla... read more