AI-driven Innovations for Clinical Decision Making

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?