Summary
Featuring Dr. Nigam Shah, Professor of Medicine at Stanford University and Chief Data Scientist for Stanford Health Care
Join us for an insightful webinar exploring the transformative potential of artificial intelligence (AI) in healthcare systems. The application of AI in healthcare depends on how accurate the AI model is, the decision-making processes it informs, and how well healthcare professionals can act on the insights provided by AI. In this webinar, Dr. Nigam Shah, a renowned expert in AI and healthcare, will walk you through Stanford Health Care’s innovative process for developing fair, useful, and reliable AI models (FURM).
Now showing on-demand, this webinar equips you with the knowledge and understanding to contribute to the development of ethical and effective AI models in healthcare. By actively engaging in this dialogue, we can collectively shape the future of AI in healthcare, ensuring it serves as a powerful tool to improve patient outcomes, optimize healthcare systems, and advance medical knowledge.
Watch this free webinar to learn:
- How to organize data chronologically using the concept of a patient timeline to enhance model accuracy and ethical considerations.
- The top factors that determine the usefulness of an AI model in healthcare applications.
- The three primary types of tasks where AI models can provide substantial assistance within healthcare systems.
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Presented By
The Applications of Machine Learning in Medicine program.
Questions?
