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

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。它们的目的是双重的：它们的目标是在个人层面增进健康，同时努力促进社会福祉。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，但值得注意的是，关于医疗领域算法和硬件的联合设计缺乏全面的讨论。该项目将资助一个研讨会，汇集医疗从业者、学术研究人员、行业专家和政府官员。重点将是关于医疗应用的算法/硬件协同设计领域的需求、挑战和解决方案的协作对话。此外，研讨会的目的是为未来的举措勾勒出路线图。参加讲习班的将有不同群体的人，包括代表人数不足的社区的个人和妇女。将编写一份研讨会的总结报告并向公众公布，以确保讨论的信息得到广泛传播。研讨会的主要目的是制定战略，以克服障碍并加快计算机辅助医疗应用程序开发的算法和硬件设计技术的进步。研讨会议程包括对各种主题的讨论。这些包括：1.把握医疗数据的生命周期，从其获取和处理，到共享和管理。2.了解健康从业者对算法、系统、硬件的具体要求。3.评估算法/硬件协同设计在医疗应用中的效率、健壮性、保密性、可解释性和公平性。4.在医疗应用的背景下，展望人工智能算法和硬件设计以及设计自动化的未来。5.促进学术界、产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智力优势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.