AI technology advances in medical research and security

Developments in artificial intelligence are increasingly intersecting with the healthcare sector, focusing on both technical implementation and security.

The Chinese University of Hong Kong is seeking research assistants to advance AI technology for medical applications. The role involves optimizing large language models using frameworks such as PyTorch and TensorFlow, as well as conducting clinical trials and analyzing medical images.

Simultaneously, researchers at Florida Atlantic University’s SPEED Lab are investigating the security of medical AI. Their study focused on federated AI, a method that enables healthcare organizations to collaborate on model training without sharing sensitive patient data. While this approach protects privacy, researchers found that the AI models remain potentially vulnerable to cyberattacks, highlighting the need for integrated security in future clinical AI systems.