Artificial Intelligence (AI) Summit

人工智能（AI）峰会

• 批准号: 10684773
• 负责人: Steven Mandernach
• 金额: $ 5万
• 依托单位: ASSOCIATION OF FOOD AND DRUG OFFICIALS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10684773
• 关键词: Artificial; Intelligence; AI; Summit

Project Summary The key objectives of the AI Summit are:  Open collaboration and engagement with FDA and industry to discuss AI challenges and opportunities  Identify innovative solutions for implementing AI in across healthcare. AFDO proposes the AI Summit Scientific Meeting plan to follow this format:  Years 2022-2026 will be an in-person conference with presentations and facilitated discussions on how AI is, has been, and will be used in the healthcare industry to advance patient care. During each meeting, a group of 130+ AI leaders from all areas of the healthcare industry will come together to present work done in one of the three key working teams: AI in Operations Team (AIO), Good Machine Learning Practices Team (GMLP), and AI at the Point of Care (AI@POC Team). AI in Operations Team is an organized, cross-industry discussion group of FDA and industry professionals working to increase the predictive assurance of product quality across all operations through the power of AI. The problem this team is trying to solve is to alleviate the anxiety and hesitancy around expanding use of AI in operations. The goal is to work collaboratively towards increasing the awareness of AI use, and exploring additional applications. Good Machine Learning Practices Team is bringing the world of AI activity into one place in order to increase the awareness of the current good work, but also to collaboratively further solutions that address challenges related to AI implementation across the industry. The problem this team is trying to solve is to avoid the risks of unanticipated outcomes, unintended degradation in time, confusion for users, and incompatibility of results with other software that may use the output of evolving algorithms from machine learning. This group’s deliverables support the ability of organizations to use AI in a responsible and effective way. AI at the Point of Care Team is for physicians, healthcare systems members, and innovators seeking to leverage AI to improve patient care, clinical workflow, system operations, and reduce unnecessary costs. The problem this group is trying to solve is to safely and effectively develop and implement AI tools and identify the resources required to do so. This team’s emphasis is on creating deliverables that provide maximum Relationships, Outcomes, and Improvements (ROI).

项目摘要 AI峰会的主要目标是： 与FDA和行业开放合作和参与，讨论人工智能的挑战和机遇 确定在整个医疗保健领域实施AI的创新解决方案。 AFDO建议人工智能峰会科学会议计划遵循以下格式： 2022-2026年将是一个现场会议，包括演讲和促进讨论 关于人工智能是如何，已经，并将用于医疗保健行业，以促进患者护理。 在每次会议期间，来自医疗保健行业各个领域的130多位AI领导者将参加 共同介绍三个关键工作团队之一所做的工作：人工智能运营团队（AIO）， Good Machine Learning Practices Team（GMLP）和AI at Point of Care（AI@POC Team）。 运营团队中的AI是FDA和行业的有组织的跨行业讨论小组 致力于提高所有运营中产品质量的预测性保证的专业人员 通过AI的力量。这个团队试图解决的问题是减轻焦虑， 对扩大人工智能在运营中的使用犹豫不决。我们的目标是共同努力， 提高对人工智能使用的认识，并探索其他应用。 良好的机器学习实践团队将人工智能活动的世界带入一个地方，以便 提高对当前良好工作的认识，同时也合作进一步解决方案， 解决与整个行业的AI实施相关的挑战。这个团队试图解决的问题是 解决的办法是避免意外结果的风险，时间上的意外退化， 用户，以及结果与其他可能使用进化算法输出的软件的不兼容性 从机器学习。该小组的可交付成果支持组织在一个 负责任和有效的方式。 AI在护理点团队是为医生，医疗保健系统成员和创新者寻求 利用人工智能改善患者护理、临床工作流程、系统操作并降低不必要的成本。 这个小组试图解决的问题是安全有效地开发和实施人工智能工具， 确定这样做所需的资源。该团队的重点是创建可交付成果， 最大的关系、成果和改进（ROI）。