-Definition and practical requirements
-Examples of projects in the areas of image analysis, remote patient monitoring, and predictive analytics in healthcare
-Addressing hurdles such as data heterogeneity, scalability and communication complexity, data protection and security risks, and regulatory compliance
-Integration into existing healthcare systems
-Improve patient experience and outcomes. What AI applications exist and what are their prospects?
-Applications in preventive diagnostics, radiology, emergency rooms, digital twins, and more.
-Treatment optimization, data-driven decisions, predictive analytics, challenges with data protection and other regulations, and handling of health data.
Check out the incredible speaker line-up to see who will be joining Maximilian.
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