About The Study: The results of this study suggest that artificial intelligence may be associated with enhanced patient care and oncological decision-making in patients with oropharyngeal squamous cell carcinoma through detection of localized versus advanced cancer stages. Further model refinement and external validation with electronic health records at different institutions are necessary to improve algorithm accuracy and clinical applicability.
About The Study: The results of this study suggest that artificial intelligence may be associated with enhanced patient care and oncological decision-making in patients with oropharyngeal squamous cell carcinoma through detection of localized versus advanced cancer stages. Further model refinement and external validation with electronic health records at different institutions are necessary to improve algorithm accuracy and clinical applicability.
Corresponding Author: To contact the corresponding author, Antoine Eskander, M.D., email antoine.eskander@mail.utoronto.ca.
To access the embargoed study: Visit our For The Media website at this link
(doi:10.1001/jamaoto.2023.1201)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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Media advisory: This study is being released to coincide with presentation at the American Head And Neck Society Annual Meeting at Combined Otolaryngology Spring Meetings 2024.
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Journal
JAMA Otolaryngology–Head & Neck Surgery
