Balancing Hype and Reality in Medical AI. What Evidence-Based Medicine has to offer for a useful, sustainable and fair digital health future

Activity: Academic talk or presentation typesInvited talk

Description

Global hype about the potential of AI in medicine and healthcare has peaked several times over the last half century. While the field shows great promise and there have been some notable successes during the COVID-19 pandemic, a wave of sobering failure has also been experienced, including non-replicable, erroneous, spurious, unsafe and biased algorithmic innovations. This experience has forced all relevant stakeholders to re-think their techno-centric optimism, reconsider their models and data, and recalibrate their strategies. A significant challenge has been the lack of adequate expertise amongst AI developers in the established discipline of health technology assessment, which is the cornerstone of evidence-based medicine. This talk will reflect on some of the lessons learned during the pandemic, and what this tells us about the value of robust HTA for a useful, sustainable and fair AI future.
Period25 Sep 2021
Event titleInternational Symposium on Evidence Based Artificial Intelligence and Medicine
Event typeConference
LocationShenzen, China
Degree of RecognitionInternational

Keywords

  • Artificial Intelligence
  • Medical Informatics
  • Digital Health
  • Hype
  • evidence based medicine