Webinar: AI and ML Approaches for Improving Biomedicine and Healthcare (SIG-HLTH)

Description

Major advances in AI are linked inseparably to biomedicine and healthcare. The use cases in the earliest AI experimental research initiatives investigated automated diagnosis of infections. In the current times, AI technologies have been deployed and evaluated across the full-length of biomedicine and healthcare pipeline--starting with discovery and reaching to patient engagements and education. In this talk, the critical challenges associated with some of the primary areas in biomedicine and healthcare applications will be described, along with novel AI methods for tackling them. The areas to be discussed include hypotheses generation, diagnosis, treatments, care delivery, patient engagements, secondary analysis, and research evidence production. The talk will conclude with an overview of how AI can be effectively deployed for supporting and sustaining a learning health system.