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

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

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

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

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