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

NSF 医疗应用算法硬件协同设计研讨会

• 批准号: 2337454
• 负责人: Peipei Zhou
• 金额: $ 5万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2337454&HistoricalAwards=false
• 关键词: NSF; Workshop; Algorithm; Hardware; Co

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.

医疗应用在医疗保健中发挥着举足轻重的作用，弥合了深入的学术研究和日常临床实践之间的差距。他们的目的是双重的：他们的目标是在个人层面上提高健康，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可以实现算法、软件和硬件开发的高精度，确保它们不仅有效地运行，而且还满足重要的安全要求。尽管取得了重大进展，但在医学领域，算法和硬件的协同设计缺乏全面的讨论。该项目将资助一个研讨会，汇集医疗从业人员，学术研究人员，行业专家和政府官员。会议的重点是针对医疗应用中算法/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勾画路线图。参加讲习班的将是各种各样的参与者，包括代表性不足的社区的个人和妇女。将编写一份讲习班的总结报告，供公众查阅，以确保广泛传播所讨论的信息，讲习班的主要目的是制定战略，以克服障碍，加快算法和硬件设计技术的进步，以开发计算机辅助医疗应用。研讨会议程包括对各种主题的讨论。这些措施包括：1.把握医疗数据的生命周期，从数据的获取、处理，到共享、管理。2.了解健康从业者对算法，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NSF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。