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…