Elif Baran

Aug 8, 2024 | jamanetwork.com | Elif Baran |Melissa Lee |Steven ScheerTel AVIV |Jessica Weiss

Errors in Abstract and Table 2 Oropharyngeal Cancer Staging Health Record Extraction Using Artificial Intelligence Elif Baran, HBSc; Melissa Lee, MD; Steven Aviv, BBusSc; Jessica Weiss, MSc; Chris Pettengell, MD; Irene Karam, MD; Andrew Bayley, MD; Ian Poon, MD; Kelvin K. W. Chan, MD, PhD; Ambica Parmar, MD; Martin Smoragiewicz, MD, CM, PhD; Hagen Klieb, DMD; Tra Truong, MD; Pejman Maralani, MD; Danny J. Enepekides, MD; Kevin M.

May 16, 2024 | jamanetwork.com | Elif Baran |Melissa Lee |Steven ScheerTel AVIV |Jessica Weiss

Key PointsQuestion  Can artificial intelligence accurately stage oropharyngeal squamous cell carcinomas from medical records? Findings  In this diagnostic study among 806 patients with oropharyngeal cancer, artificial intelligence had low accuracy for classification of tumor and nodal cancer stages. Binary outputs of metastatic stage and p16 status had the highest accuracy, and overall accuracy in distinguishing localized (stages 1-2) vs advanced cancer (stages 3-4) was high.

May 16, 2024 | jamanetwork.com | Elif Baran |Melissa Lee |Steven ScheerTel AVIV

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