(Press-News.org) 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 https://media.jamanetwork.com/
(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.
# # #
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.
Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamaotolaryngology/fullarticle/10.1001/jamaoto.2023.1201?guestAccessKey=d00c9284-3b48-4557-9d6f-7f4450d46156&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=051624
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Oropharyngeal cancer staging health record extraction using AI
JAMA Otolaryngology–Head & Neck Surgery
2024-05-16
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[Press-News.org] Oropharyngeal cancer staging health record extraction using AIJAMA Otolaryngology–Head & Neck Surgery