SXSW 2019
The Role of AI in Disease Detection and Prevention
Description:
Advances in Artificial Intelligence and digitized medical data are transforming healthcare as we know it. The session will discuss how innovative AI technologies along with health data underlie key transformations in healthcare:
1. Machine learning is transforming our ability to offer early warnings to patients on disease onset via accurate and personalized prediction of preventable, chronic diseases.
2. Healthcare is also being transformed by a transition away from mere disease treatment toward more proactive prevention. For many diseases, such as Type II diabetes, prevention is achieved best through lifestyle changes. We will review how AI opens opportunities to offer effective, scalable, and personalized coaching on diet, exercise, and behavior modification.
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Takeaways
- Affordable healthcare must rely increasingly on patients who take an active role in the management of their own healthcare.
- What are the key properties of AI which facilitate disease prediction and prevention?
- The use of AI for early disease detection and prevention and will have a dramatic impact on the healthcare costs and patients quality of life.
Speakers
- Maytal Saar-Tsechansky, Associate Professor, Information, Risk, and Operations Mgmt., McCombs School of Business, The University of Texas at Austin
Organizer
Maytal Saar-Tsechansky, Associate Professor, Information, Risk, and Operations Mgmt., McCombs School of Business, The University of Texas at Austin
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