Artificial intelligence-driven structurization of diagnostic information in free-text pathology reports

• Main Authors: Pericles S Giannaris (Author), Zainab Al-Taie (Author), Mikhail Kovalenko (Author), Nattapon Thanintorn (Author), Olha Kholod (Author), Yulia Innokenteva (Author), Emily Coberly (Author), Shellaine Frazier (Author), Katsiarina Laziuk (Author), Mihail Popescu (Author), Chi-Ren Shyu (Author), Dong Xu (Author), Richard D Hammer (Author), Dmitriy Shin (Author)
• Format: Book
• Published: Elsevier, 2020-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Free-text sections of pathology reports contain the most important information from a diagnostic standpoint. However, this information is largely underutilized for computer-based analytics. The vast majority of NLP-based methods lack a capacity to accurately extract complex diagnostic en...