Privacy-preserving Deep Learning in Medical Imaging: Feasibility and Challenges

2025/10/08 by Felix Busch, Lisa C. Adams · 1 voice
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Privacy-Preserving Technologies in Data

paper · doi:10.1148/ryai.250682

openalex publication_date 2025/10/08 · crossref created 2025/10/08 · crossref deposited 2025/10/08 · crossref indexed 2025/10/09 · openalex created_date 2025/10/10 · crossref issued 2025/11/01 · crossref published 2025/11/01 · crossref published-print 2025/11/01 · openalex updated_date 2026/07/16

Citations

• Development of Privacy-preserving Deep Learning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging

Cited by

• Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications

Discussions

• Homomorphic encryption can be integrated into #DeepLearning for CT-based renal mass classification without loss of accuracy https://doi.org/10.1148/ryai.250682 #ESMRMB25 #MRI #radiology [bsky, 4 points, 0 comments]