An artificial intelligence algorithm may prove useful for detecting missed cases of non-alcoholic steatohepatitis, researchers have found.
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