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

Peipei Zhou; Zheng Dong; Insup Lee; Aidong Zhang; Robert Dick; Majid Sarrafzadeh; Xiaodong Wu; Weisong Shi; Zhuoping Yang; Jingtong Hu; Yiyu Shi

doi:10.48550/arxiv.2603.10976

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

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

Peipei Zhou, Zheng Dong, Insup Lee, Aidong Zhang, Robert Dick, Majid Sarrafzadeh, Xiaodong Wu, Weisong Shi, Zhuoping Yang, Jingtong Hu, …

ArXiv.org

Cornell University

03/11/2026

DOI: 10.48550/arxiv.2603.10976

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Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

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.

Computer Science - Computers and Society

Computer Science - Emerging Technologies

Details

Title: Subtitle: Report for NSF Workshop on Algorithm-Hardware Co-design for Medical Applications
Creators: Peipei Zhou - Brown University
Zheng Dong - Wayne State University
Insup Lee - University of Pennsylvania
Aidong Zhang - University of Virginia
Robert Dick - University of Michigan
Majid Sarrafzadeh - University of California, Los Angeles
Xiaodong Wu - University of Iowa
Weisong Shi - University of Delaware
Zhuoping Yang - Brown University
Jingtong Hu - University of Pittsburgh
Yiyu Shi - University of Notre Dame
Resource Type: Preprint
Publication Details: ArXiv.org
DOI: 10.48550/arxiv.2603.10976
ISSN: 2331-8422
Publisher: Cornell University; Ithaca, New York
Language: English
Date posted: 03/11/2026
Academic Unit: Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging
Record Identifier: 9985147205402771

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