ETCYMar 11

Report for NSF Workshop on Algorithm-Hardware Co-design for Medical Applications

arXiv:2603.10976v120.2h-index: 9
Predicted impact top 1% in ET · last 90 daysOriginality Synthesis-oriented
AI Analysis

It addresses foundational challenges in medical computing for researchers, clinicians, and industry, but is incremental as it focuses on recommendations rather than new research.

This report summarizes discussions from an NSF workshop on algorithm-hardware co-design for medical applications, calling for a fundamental shift in how next-generation medical technologies are designed and translated into practice.

This report summarizes the discussions and recommendations from the NSF Workshop on Algorithm-Hardware Co-design for Medical Applications, held on September 26-27, 2024, in Pittsburgh, PA. The workshop assembled an interdisciplinary cohort of researchers, clinicians, and industry leaders to examine foundational challenges and develop a strategic roadmap for algorithm-hardware co-design in medical computing. The workshop focuses on four thematic areas: (1) teleoperations, telehealth, and surgical operations; (2) wearable and implantable medicine, including implantable living pharmacies; (3) home ICU, hospital systems, and elderly care; and (4) medical sensing, imaging, and reconstruction. This report calls for a fundamental shift in how next-generation medical technologies are conceived, designed, validated, and translated into practice. The report recommends that NSF sustain investment in shared standardized data infrastructures and compute infrastructures, develop clinic workflow-aware systems and human-AI collaboration frameworks, promote scalable validation ecosystems grounded in objective, continuous measures, and physics-informed, and enable safe, accountable, and resilient platforms, including virtual-physical healthcare ecosystems, to de-risk translational pathways. The workshop information can be found on the website: https://sites.google.com/view/nsfworkshop.

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