Multimodal AI is the next revolution in health AI that combines multiple types of data (medical imaging, electronic health records, biosensors, and others) to radically improve AI solution performance and transform healthcare delivery.
T-CAIREM’s 2024 Symposium will focus on how multimodal AI can improve clinical practice and enable a broader understanding of a patient’s health while raising important technical and ethical issues in healthcare.
In-person and online attendees will be able to view the presentations and participate in interactive discussions.
• Discuss the importance of multimodal data in advancing health AI.
• Build collaborations within the AI in Medicine community through knowledge-sharing
• Discuss the unique challenges and solutions to implementing multimodal AI applications in the healthcare sector.
After active engagement in this program, participants will be able to:
• Recognize the importance of multimodal data and its implications for the future of health AI.
• Comprehend the breadth of diverse research being conducted in health AI that utilizes multimodal data.
• Ascertain all the opportunities and challenges in understanding, developing, and implementing AI applications that use multimodal data in clinical practice.
Continuing Professional Development has awarded the T-CAIREM Symposium 2024 with the following credits:
Download a copy of the Symposium program (PDF)
Hart House is located on the University of Toronto's downtown St. George campus.
Street Address: 7 Hart House Circle, Toronto, ON M5S 3H3
Google Map: https://maps.app.goo.gl/R2GMeaLN1fadk2Z88
There is no official conference hotel for this symposium. However, Toronto has many accommodations to choose from that are close to the University of Toronto's downtown campus. Here are some of them:
• Sheraton Centre Toronto Hotel