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

医学应用在医疗保健中发挥着关键作用，弥合了深入的学术研究和日常临床实践之间的差距。它们的目的是双重的：旨在提高个人的健康水平，同时也努力促进社会福祉。在医疗应用领域，电子设计自动化（EDA）的作用至关重要。EDA能够在算法、软件和硬件的开发中实现高精度，确保它们不仅有效运行，而且满足重要的安全要求。尽管取得了重大进展，但在医疗领域，算法和硬件的协同设计明显缺乏全面的讨论。该项目将资助一个研讨会，汇集医疗保健从业人员、学术研究人员、行业专家和政府官员。会议的重点将是就医疗应用中算法/硬件协同设计领域的需求、挑战和解决方案进行协作对话。此外，研讨会旨在为未来的举措制定路线图。讲习班将由各种各样的参与者参加，包括来自代表性不足的社区和妇女的个人。将编写讲习班的摘要报告并向公众提供，以确保广泛传播所讨论的资料。本次研讨会的主要目的是为计算机辅助医疗应用的发展制定克服障碍和加速算法和硬件设计技术进步的战略方法。研讨会议程包括对各种主题的讨论。这些包括：1；掌握医疗数据的生命周期，从采集、处理到共享、管理。2. 理解医疗从业者对算法、系统和硬件的具体要求。3. 评估医疗应用中算法/硬件协同设计的效率、鲁棒性、隐私性、可解释性和公平性。4. 展望AI算法和硬件设计的未来，以及在医疗应用背景下的设计自动化。5. 促进学术界、工业界和政府之间的合作。6. 确保医疗基础设施和设备的长期可持续性。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Medical applications play a pivotal role in healthcare, bridging the gap between in-depth academic research and everyday clinical practice. Their purpose is dual-faceted: they aim to enhance health at an individual level while also striving to foster societal wellbeing. In the realm of medical applications, the role of electronic design automation (EDA) is crucial. EDA enables high accuracy in the development of algorithms, software, and hardware, ensuring that they not only function effectively but also meet vital safety requirements. Despite significant progress, there's a notable lack of comprehensive discussions on the co-design of algorithms and hardware in the medical field. This project will fund a workshop that assembles healthcare practitioners, academic researchers, industry experts, and government officials. The focus will be a collaborative dialogue on the needs, challenges, and solutions in the realm of algorithm/hardware co-design for medical applications. Additionally, the workshop aims to sketch out a roadmap for future initiatives. The workshop will be attended by a diverse group of participants, including individuals from underrepresented communities and women. A summary report of the workshop will be prepared and made publicly accessible to ensure widespread dissemination of the information discussed.The main aim of this workshop is to strategize ways to overcome obstacles and accelerate advancements in both algorithmic and hardware design technologies for the development of computer-assisted medical applications. The workshop agenda includes discussions on a variety of topics. These include: 1. Grasping the life cycle of medical data, from its acquisition and processing, to sharing and management. 2. Comprehending the specific requirements of health practitioners for algorithms, systems, and hardware. 3. Evaluating the efficiency, robustness, privacy, explainability, and fairness of algorithm/hardware co-design in medical applications. 4. Envisioning the future of AI algorithm and hardware design, as well as design automation, within the context of medical applications. 5. Fostering collaboration among academia, industry, and government. 6. Ensuring the long-term sustainability of medical infrastructure and devices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.