Speakers:

Sam McGee

Machine Learning Applications in Immunization Information Systems

Date:

Tuesday, June 3, 2025

Time:

4:45 pm

Summary:

Healthcare data pose unique challenges and opportunities; they can be longitudinal touchpoints for healthy people and potentially indicative of behavior but require careful handling to ensure accuracy and confidence. STChealth leverages machine learning to identify data patterns that reduce human workload and decision fatigue in “deduplication” (removing duplicates and merging matched records), increasing both accuracy and confidence in immunization registry datasets. Additionally, they developed a machine learning classification algorithm that identifies vaccine sentiment on an individual level by maximizing the same immunization data, helping jurisdictions deliver targeted interventions to increase disease protection in vulnerable communities.

Transforming Healthcare: The Role of AI in Diagnostics and Patient Care

Date:

Tuesday, June 3, 2025

Time:

5:10 pm

Summary:

An overview of Health AI, discussing how AI technologies such as machine learning, natural language processing, and computer vision are redefining healthcare delivery. The session will then delve into AI-powered diagnostic tools, showcasing their ability to enhance accuracy, speed, and efficiency in detecting diseases and conditions, ranging from medical imaging analysis to predictive analytics and genomics.

Through real-world case studies, Mohamed will illustrate how these AI tools are already improving patient outcomes, enabling personalized medicine, and reducing healthcare costs. The session will also address the challenges and limitations of AI integration in healthcare, including issues related to data privacy, system integration, accuracy, and regulatory and ethical considerations.

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