Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 213,726 articles

The deep learning radiomics nomogram for risk stratification in multiple myeloma using automatic whole-body [18F]FDG PET/CT segmentation approach.

European journal of nuclear medicine and molecular imaging Jul 27, 2026
PURPOSE: To develop a deep learning (DL) approach for automatic segmentation and accurate risk stratification in multiple myeloma (MM) using whole-body [18F]FDG PET/CT. METHODS: This retrospective study included MM patients who underwent [18F]FDG PET... read more 

AI-based clinician decision support system for diagnosis of inherited retinal diseases: a multicenter, randomized trial.

Nature medicine Jul 24, 2026
The accurate and timely diagnosis of inherited retinal diseases (IRDs) represents an unmet clinical need in ophthalmology, as the current pathways rely on resource-intensive phenotyping, multidisciplinary expertise and genetic testing. Here we develo... read more 

AI-Generated Personalized Visualization of the Safe Place in Virtual Reality vs Traditional Safe Place Imagery: Randomized Controlled Trial.

JMIR AI Jul 24, 2026
BACKGROUND: Relaxation techniques, such as the "safe place" imagery exercise, are simple and accessible strategies to cope with the negative effects of stress. While virtual reality (VR) has been applied in relaxation research, it is still unclear wh... read more 

Comparative Screening of Alzheimer's Disease, Lewy Body Dementia, and Frontotemporal Dementia Using miRNA and Machine Learning.

International journal of neural systems Jul 27, 2026
Current dementia diagnostic methods can be costly, invasive, or limited in their ability to distinguish between disorders with overlapping clinical symptoms. Dysregulated microRNAs (miRNAs) have emerged as promising noninvasive biomarkers for neurode... read more 

The deep learning radiomics nomogram for risk stratification in multiple myeloma using automatic whole-body [18F]FDG PET/CT segmentation approach.

European journal of nuclear medicine and molecular imaging Jul 27, 2026
PURPOSE: To develop a deep learning (DL) approach for automatic segmentation and accurate risk stratification in multiple myeloma (MM) using whole-body [18F]FDG PET/CT. METHODS: This retrospective study included MM patients who underwent [18F]FDG PET... read more 

The deep learning radiomics nomogram for risk stratification in multiple myeloma using automatic whole-body [18F]FDG PET/CT segmentation approach.

European journal of nuclear medicine and molecular imaging Jul 27, 2026
PURPOSE: To develop a deep learning (DL) approach for automatic segmentation and accurate risk stratification in multiple myeloma (MM) using whole-body [18F]FDG PET/CT. METHODS: This retrospective study included MM patients who underwent [18F]FDG PET... read more 

The deep learning radiomics nomogram for risk stratification in multiple myeloma using automatic whole-body [18F]FDG PET/CT segmentation approach.

European journal of nuclear medicine and molecular imaging Jul 27, 2026
PURPOSE: To develop a deep learning (DL) approach for automatic segmentation and accurate risk stratification in multiple myeloma (MM) using whole-body [18F]FDG PET/CT. METHODS: This retrospective study included MM patients who underwent [18F]FDG PET... read more 

From robot assistance to surgical intelligence: global research trends and emerging frontiers of artificial intelligence-enhanced robotic surgery in urology.

Journal of robotic surgery Jul 27, 2026
To systematically characterize global publication trends, collaboration patterns, intellectual foundations, research hotspots, and emerging frontiers in artificial intelligence (AI)-enhanced robotic and robot-assisted surgery in urology. Publications... read more 

miR-124 Ameliorates Spatial Memory Deficits in Rats Exposed to Single-Prolonged Stress by Downregulating IQGAP1 to Regulate Actin-Binding Proteins and Apoptosis in Hippocampal Neurons.

Molecular neurobiology Jul 27, 2026
Post-traumatic stress disorder (PTSD) is a highly prevalent, trauma-induced psychiatric condition characterized by persistent cognitive-affective dysfunction. However, the pathogenesis of PTSD is not yet well understood. MicroRNA-124-3p (miR-124) pla... read more 

Comment on "Evaluation of inflammatory markers in survival analysis of patients undergoing radical cystectomy using machine learning".

World journal of urology Jul 26, 2026
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