A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Georgios Kaissis, Marcus R. Makowski, Daniel Rückert, et al.
This paper reviews federated, secure, and privacy-preserving AI methods for medical imaging, addressing data protection and utilization challenges.
Unknown
This paper surveys the status, challenges, and future directions of foundation models in medical imaging, contextualizing their shift from task-specific models.
Sungwon Lee, Joon-Yong Jung, Akaworn Mahatthanatrakul, et al.
This review evaluates AI's impact on spinal imaging and care, covering image quality, diagnosis, surgical planning, and personalized predictions.