Artificial Intelligence Shows Promise For Identifying Undiagnosed NASH

The algorithm employs the principles of "deep learning" to recognize clinical characteristics common to patients with NASH. The initial results are encouraging, but the software is expected to become increasingly smart, improving both specificity and sensitivity, as it incorporates mo re data, said Kathryn Starzyk, MSc, the senior director of real-world evidence at OM1 Inc., the Boston-based firm that is developing the system. The gold standard for a diagnosis of NASH is a liver biopsy, bu...

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