From neuroimages to insights: Artificial intelligence-powered hybrid models for Alzheimer’s disease detection
Role of AI in drug development: Current status, challenges, opportunities, and future promise
Nursing robots in healthcare: The new employee
Artificial intelligence algorithmic literacy: Gaining and deepening the artificial intelligence knowledge of global health workforce education in the Fifth Industrial Revolution
When artificial intelligence speaks back: Rethinking communication training in health professions education
Use of natural language processing in the emergency department: A clinical overview on the state of the art
Mapping medical specialty vulnerability to superintelligent AI: A competency-guided generative AI foresight framework
Validation strategies for automated MRI-based classification of Alzheimer’s disease using deep feature extraction and machine learning
Neck dissection in head and neck surgery: An assessment of ChatGPT performance
Machine learning–driven insights into Medicare provider performance, patient profiles, and care impact
Hybrid log-sigmoid neural network with metaheuristic optimization for an SEIITR diabetes mellitus model
From engineering principles to healthcare practice: A hybrid reasoning framework for transparent clinical decision support
Deep learning-based spatio-temporal framework for opioid overdose monitoring in rural Alabama
Predicting breast cancer prognosis using γδ T cell gene signatures
Challenges in incorporating artificial intelligence into daily healthcare practice
