Artificial Intelligence Medical Compendium

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

Showing 48,531 to 48,540 of 224,199 articles

Artificial intelligence in the recognition of stages in live laparoscopic cholecystectomy.

Updates in surgery
Laparoscopic cholecystectomy is the gold standard for treating symptomatic gallstones. Despite established safety strategies, variability in their adoption leads to inconsistent outcomes. Artificial intelligence (AI) offers potential for real-time re... read more 

Loading dose and 12-month outcomes in treatment-naïve patients with neovascular age-related macular degeneration treated with faricimab, with AI-based analysis of fluid dynamics.

International ophthalmology
PURPOSE: To evaluate the effects of loading dose and 12 months of faricimab treatment on visual function, retinal anatomy, and fluid dynamics in a real-world cohort of treatment-naïve patients with neovascular age-related macular degeneration (nAMD).... read more 

Impact of Transfer Learning on Convolutional Neural Networks for Odontogenic Tumor Diagnosis.

Head and neck pathology
OBJECTIVE: This study aimed to evaluate the coherence between data heterogeneity and model complexity by comparing seven convolutional neural network (CNN) architectures-trained with and without ImageNet pretraining-in a multiclass framework for the ... read more 

YOLO-based real-time floating debris counting in urban rivers for flood monitoring and water resource management.

Environmental monitoring and assessment
Urban flooding is increasingly exacerbated by the accumulation of floating debris in rivers, which obstructs water flow, degrades water quality, and poses significant risks to human safety and environmental sustainability. Effective monitoring of flo... read more 

MRI-based habitat radiomics for assessing synchronous metastatic risk in renal cell carcinoma: a multicenter study.

Abdominal radiology (New York)
PURPOSE: To explore the role of MRI-based habitat radiomics in assessing the metastatic status of renal cell carcinoma (RCC). METHODS: This study retrospectively collected 241 patients with RCC who underwent nephrectomy and lymphadenectomy at four ce... read more 

Integration of Raman tweezers and machine learning for label-free single-cell characterization of endometriosis cells.

The Analyst
Endometriosis occurs when endometrial tissue grows outside the uterus, affecting millions of women worldwide. Despite extensive research, its cellular mechanisms remain unclear, complicating both diagnosis and treatment. This study presents the devel... read more