A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Alex Kuo
This paper evaluates the opportunities and challenges of cloud computing in healthcare across management, technology, security, and legal aspects.
Khalid Nassiri, Moulay A. Akhloufi
This survey reviews recent advances in large language models for healthcare, covering architectures, medical datasets, and applications while highlighting technical and ethical challenges.
Riccardo Miotto, Fei Wang, Shuang Wang, et al.
Reviews deep learning applications in healthcare, arguing it can translate big biomedical data into improved health, while noting interpretability challenges.
S. M. Riazul Islam, Daehan Kwak, Md. Humaun Kabir, et al.
This paper surveys IoT-based healthcare technologies, architectures, applications, security, and policies, proposing an intelligent collaborative security model.
Zabir Al Nazi, Wei Peng
A comprehensive survey of LLMs in healthcare, covering their development from PLMs to current state, applications, performance metrics, and challenges.
Unknown
This paper explores the potential and challenges of using large language models in healthcare, highlighting their ability to respond to free-text queries without task-specific training.