Impact of Artificial Intelligence on Sickle Cell Tests
Hematology nurse practitioner Maya Bloomberg from Sylvester Comprehensive Cancer Center shares how AI may impact sickle cell tests in the screening, diagnosis, and treatment of patients.
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In this program:
How might artificial intelligence (AI) impact sickle cell tests and care? Hematology nurse practitioner Maya Bloomberg from Sylvester Comprehensive Cancer Center shares how AI may impact sickle cell tests in the screening, diagnosis, and treatment of patients.
Transcript
Deandre White:
Artificial intelligence seems to be taking over everything. So can you speak to how AI may impact screening and various tests for patients?
Maya Bloomberg, MSN, APRN:
Yeah, I think AI is something really exciting, also a little terrifying, but in the healthcare world, it really...I think it will have the potential to make a significant impact on screening and the testing of individuals with sickle cell and other chronic conditions. They can use AI and make algorithms that could analyze really large data sets to enable early diagnosis, even risk prediction for certain conditions. We're starting to see different AI devices that can actually be worn to help detect for early signs of complications. For all we know, AI could be replacing radiologists and could enhance just the accuracy of diagnosing sickle cell related complications such as acute chest syndrome or stroke when interpreting diagnostic imaging. And I think really, AI has that potential to reduce health disparities, and it holds a great promise in improving that screening, diagnosing, treatment, and just overall care by providing consistent evidence-based care, which in theory would contribute to better health outcomes.
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