AI can identify significant findings on scanned radiology reports, reduce manual workloads


A new deep learning algorithm could help save clinicians time and money by identifying documents that might require follow-ups after they have been scanned into the EHR. 

“Scanned documents, while common in electronic health records and potentially rich in clinically relevant information, rarely fit well with clinician workflow,” corresponding author Elmer V. Bernstam, MD, with the School of Biomedical Informatics at the University of Texas Health Science Center at Houston, and co-authors disclosed.  

For their research, the doctors identified findings from scanned radiology…



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