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January 2025 Talk: From Clinical Validation to Clinical Reality:
The Need for Ongoing AI safety Monitoring
Details: During this session, Dr. Adi Kale from the University of Birmingham, UK will discuss how Artificial intelligence (AI) has shown promise for use in a range of healthcare tasks such as diagnosis, prognosis, and even drug dosing.
While evidence suggests that AI can enhance or even exceed clinician accuracy in specific tasks, much of this evidence is retrospective, with limited prospective data from studies such as randomized controlled trials. Despite this, there has been an exponential increase in the number of commercially available AI-enabled medical devices. Ensuring the safety of clinical AI technologies requires rigorous post-market surveillance, a process crucial for monitoring and mitigating risks. This talk explores algorithmic auditing in addition to adverse event reporting across clinical trials and real-world settings, emphasizing the importance of post-market surveillance.
Details: During this session Dr. Jean Felipe Teotonio will discuss how spatial data and geographic information systems (GIS) can unlock important and actionable insights for public health decision makers in matters of chronic and communicable disease surveillance, environmental health risk and social determinants of health.
Dr. Teotonio is trained in internal medicine and healthcare quality improvement. He led the public health team at Health Solutions Research (HSR), a geospatial health analytics company, leveraging GIS and spatial data in the building of disease surveillance platforms and decision-making tools for local, state and federal health agencies as well as global health organizations.
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