Difference between revisions of "Healthcare AI Use Cases"
From PatientRecovery
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* [https://news.mit.edu/2020/closedloop-ai-predictive-health-care-0619?utm_source=miragenews&utm_medium=miragenews&utm_campaign=news Predict patient readmissions and the onset or progression of chronic diseases.] | * [https://news.mit.edu/2020/closedloop-ai-predictive-health-care-0619?utm_source=miragenews&utm_medium=miragenews&utm_campaign=news Predict patient readmissions and the onset or progression of chronic diseases.] | ||
* [https://news.mit.edu/2020/closedloop-ai-predictive-health-care-0619?utm_source=miragenews&utm_medium=miragenews&utm_campaign=news Predict patient onset or progression of chronic diseases.] | * [https://news.mit.edu/2020/closedloop-ai-predictive-health-care-0619?utm_source=miragenews&utm_medium=miragenews&utm_campaign=news Predict patient onset or progression of chronic diseases.] | ||
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| + | * [https://www.beckershospitalreview.com/artificial-intelligence/ge-university-hospitals-cleveland-partner-on-ai-lung-imaging-tech.html Identify patients' with collapsed lungs - artificial intelligence-enabled mobile X-ray system flags images of patients who need immediate intercession, ensuring that patients with collapsed lungs receive more timely care. (7/8/20)] | ||
Revision as of 08:31, 10 July 2020
ClosedLoop AI Use Cases
Hospitals
- Predict patients most likely to miss appointments
- Predict patients most likely to acquire infections like sepsis
- Predict patients most likely to benefit from periodic check ups
Health Insurers
- Predict patient readmissions and the onset or progression of chronic diseases.
- Predict patient onset or progression of chronic diseases.
