Role of large language models in improving provider–patient experience and interaction efficiency: A scoping review

Emerging trends and future directions of machine learning in arthroplasty: A narrative review

Revolutionizing new drug discovery: Harnessing AI and machine learning to overcome traditional challenges and accelerate targeted therapies

Contextualizing algorithmic literacy framework for global health workforce education

A stacked ensemble deep learning model for predicting the intensive care unit patient mortality

The development of neural networks with intra- and inter-block dense connections for improved liver tumor segmentation

Optimizing knowledge distillation for efficient breast ultrasound image segmentation: Insights and performance enhancement

Application of supervised and semi-supervised learning prediction models to predict progression to cirrhosis in chronic hepatitis C

Artificial intelligence for early diagnosis of breast cancer in women: A systematic literature review