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Automated AI analysis spots scanned reports with abnormal results


A team of researchers led by Akshat Kumar and corresponding author Dr. Elmer Bernstam from the University of Texas Health Science Center at Houston developed an automated “pipeline” based on a transformer model, a deep-learning algorithm geared toward text analysis. In testing, their approach yielded high recall and a useful level of precision for automatically identifying scanned reports of mammograms, lung CT studies, and long-bone x-ray exams that contained clinically significant abnormalities.


“Our pipeline can identify abnormal reports with potentially useful performance and so…



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