This inaugural ai+MD Summit was intentionally “coupled” to another meeting, the 2018 Machine Learning for Healthcare (MLHC) meeting (this year at Stanford University School of Medicine in Palo Alto, California). Over 70 clinicians and others from all over the world attended the inaugural meeting of a group of clinicians who are both passionate and curious about data and intelligence (tentatively called ai+MD).
Format of the ai+MD Summit
The format of this summit was a combination of short (5-10 minute) “TED-like” talks by volunteer presenters followed by 10 or more minutes for group discussion (called “10 x 10” sessions). Over 20 topics were presented and the topics ranged from deep learning in echocardiography, the data conundrum in health care, to data sharing coalitions for quality measurement.
There was also a breakfast panel focused on the future of AI in medicine and health care with discussions of embedded AI and robotic process automation. The summit concluded with a special three-hour hands-on workshop on Application of Deep Learning in Biomedicine. There were several neural networking breaks as well as a networking dinner for all the attendees to interconnect in a “human-to-human” way. This already has led to at least several future collaborations that would not have occurred without this summit.
Purpose of the ai+MD Summit
This summit was designed to have those passionate about AI in medicine to enjoy meeting each other in order to share insights and experiences. In addition, this group can become an effective liaison to interface with the international data science/artificial intelligence communities and also serve as part of the program planning committee for the annual AIMed meetings. Finally, this ai+MD group will be a precursor group for a larger and more comprehensive society to be formed in the very near future (tentatively called Medical Intelligence Society, or MIS). This society will be open to all but allows clinicians to have a clinician-focused group to belong to. This group plans on meeting at the annual AIMed meeting in December in California.
For more information on future meetings, you can contact our team here.