National Heart, Lung, and Blood Institute (NHLBI), in collaboration with the National Center for Advancing Translational Sciences (NCATS) and National Institute of Biomedical Imaging and Bioengineering (NIBIB), will host a hybrid workshop to explore how medicine will be transformed by the current artificial intelligence (AI) revolution. Participants will engage with leading experts to learn the current state and visionary outlook of the field and to identify research gaps and opportunities in AI, focusing on clinical decision support.

The primary aim of this workshop is to explore how AI can be utilized to aid in diagnosing and treating heart, lung, blood, and sleep disorders (HLBS). AI is a computer science field focused on creating systems that perform tasks requiring human intelligence. These tasks include learning, reasoning, problem-solving, perception, language understanding, and interaction. AI includes subfields like machine learning, natural language processing, robotics, and computer vision. In biomedical research and health care, AI analyzes complex datasets, enhances diagnostic accuracy, personalizes treatment plans, and improves healthcare delivery. 

Additionally, the workshop aligns with the broader mission of NHLBI to promote the prevention and treatment of heart, lung, and blood diseases, and enhance the health of all individuals so that they can live longer and more fulfilling lives.  

Event Details:
📅 Dates: September 9–10, 2025
📍 Location: Building 45 (Balcony A), NIH Campus (Bethesda, MD)
💻 Virtual Option: Available via the Microsoft Teams 

Registration is now closed.  If you have any questions, please contact Jessica Freer (Workshop Support Team) at jfreer@seiservices.com.  

During registration, please indicate whether you plan to attend in person or virtually. 

-If you elect to attend virtually, you will receive connection details closer to the meeting. 

-If you elect to attend in-person, please closely read the "Attending a Meeting at NIH" page for more information regarding your in-person attendance. 

Contact: For questions or to request reasonable accommodations to participate in this event, please email Jessica Freer at jfreer@seiservices.com.