AI 軟體醫材的資安實戰:從美國 FDA 524B 規範到 Threat Modeling 與 Patch SLA 的完整落地
Breakout session on cybersecurity practice for AI software medical devices, using FDA 524B to connect threat modeling, SBOM, Zero Trust design, and auditable risk governance in heavily regulated environments.
Schedule
May 6, 2026 · 16:15-16:45
Track
Medical Cybersecurity Forum
Location
Taipei Nangang Exhibition Center Hall 2 · 4F Conference Room 4A
Format
Breakout Session · Mandarin with AI live translation
The session examines how FDA 524B review expectations shape cybersecurity design choices for AI software medical devices, and how those expectations map onto engineering workflows, transparent governance, and sustainable security strategy.
Jason Chia-Sheng Lin (林家聖) · Artificial Intelligence in Medical Imaging / Signal Analysis Lab, National Yang Ming Chiao Tung University
With co-author 陳靖中 · 智德萬生醫科技股份有限公司
Narrative version
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