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21 Jun 2023 | 02:45 PM GMT

AI-driven Innovations for Clinical Decision Making

Participants:

Jo Peddhinti AdvisoryHLTH Community
Jo Peddhinti
AdvisoryHLTH Community
Aghogho Ekpruke Distinguished EngineerMedtronic
Aghogho Ekpruke
Distinguished EngineerMedtronic
Harvey Castro Chief Clinical Operating OfficerViTel Health
Harvey Castro
Chief Clinical Operating OfficerViTel Health
Nicolas Bertrand Global Go-to-Market Manager, Digital SolutionBayer
Nicolas Bertrand
Global Go-to-Market Manager, Digital SolutionBayer
Rebecca Gwilt PartnerNixon Gwilt Law
Rebecca Gwilt
PartnerNixon Gwilt Law
Zina Manji Founder/Principal, Regulatory StrategistInnopathwayz, LLC
Zina Manji
Founder/Principal, Regulatory StrategistInnopathwayz, LLC

About this Meeting

Small, intimate and participant-led discussions tackling digital health challenges. Spaces are limited to 8 - 12 people, allowing you to focus on quality in-depth conversations.

Artificial intelligence (AI) is beginning to seep into all aspects of healthcare - but its role as a tool for clinical decision making is still under scrutiny. AI technologies possess the remarkable ability to analyse extensive patient data and monitor trends, holding incredible potential to revolutionise the healthcare industry by alleviating provider workload, enhancing decision-making quality, and ultimately improving patient outcomes. However, the crucial question remains: Is AI a suitable and safe tool for clinical decision making? Join your peers and fellow AI-advocates as we delve into the potential of AI in healthcare, while diligently addressing the risks that must be mitigated to fully harness its capabilities as a clinical decision support tool. Join your peers and fellow AI-advocates as we discuss:

  • The potential fit of AI tools for clinical decision making. What AI-driven innovations have we seen successfully used in clinical practice?
  • Healthcare provider adoption of AI technologies. What are the key factors influencing healthcare providers' adoption of AI technologies for clinical decision making?
  • Navigating Liability in AI-Driven Clinical Diagnostic Tools. What are the potential liability implications for physicians using AI-driven innovations for diagnostics?

We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.