3 papers
cs.CV2026
sFRC for assessing hallucinations in medical image restoration
Prabhat Kc, Rongping Zeng, Nirmal Soni +1
Deep learning (DL) methods are currently being explored to restore images from sparse-view-, limited-data-, and undersampled-based acquisitions in medical applications. Although ou…
cs.LG2026
Performance Assessment Strategies for Language Model Applications in Healthcare
Victor Garcia, Mariia Sidulova, Aldo Badano
Language models (LMs) represent an emerging paradigm within artificial intelligence, with applications throughout the medical enterprise. A comprehensive understanding of the clini…
eess.IV2025
Hallucinations in medical devices
Jason Granstedt, Prabhat Kc, Rucha Deshpande +2
Computer methods in medical devices are frequently imperfect and are known to produce errors in clinical or diagnostic tasks. However, when deep learning and data-based approaches…