Abstract
Artificial intelligence (AI) technologies have the potential to drastically improve healthcare delivery globally. However, healthcare data are diverse, complex, and very large in size. Better information management techniques are needed to deal with the volume and heterogeneity of healthcare data. Better AI techniques are needed to fully harness healthcare datasets to improve healthcare delivery and quality of care for patients. Our workshop aimed to bring together diverse group of researchers and practitioners interested in developing next-generation solutions for challenging problems in healthcare systems. A wide range of topics ranging from federated approaches for data sharing to machine learning for predictive analytics to medical question answering were discussed during the workshop.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
