| Title | American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Report on Artificial Intelligence. |
| Publication Type | Journal Article |
| Year of Publication | 2025 |
| Authors | Ayoub NF, Rameau A, Brenner MJ, Bur AM, Ator GA, Briggs SE, Takashima M, Stankovic KM |
| Corporate Authors | AAO‐HNS Artificial Intelligence Task Force |
| Journal | Otolaryngol Head Neck Surg |
| Volume | 172 |
| Issue | 2 |
| Pagination | 734-743 |
| Date Published | 2025 Feb |
| ISSN | 1097-6817 |
| Keywords | Academies and Institutes, Advisory Committees, Artificial Intelligence, Humans, Otolaryngology, Otorhinolaryngologic Surgical Procedures, Societies, Medical, United States |
| Abstract | This report synthesizes the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Task Force's guidance on the integration of artificial intelligence (AI) in otolaryngology-head and neck surgery (OHNS). A comprehensive literature review was conducted, focusing on the applications, benefits, and challenges of AI in OHNS, alongside ethical, legal, and social implications. The Task Force, formulated by otolaryngologist experts in AI, used an iterative approach, adapted from the Delphi method, to prioritize topics for inclusion and to reach a consensus on guiding principles. The Task Force's findings highlight AI's transformative potential for OHNS, offering potential advancements in precision medicine, clinical decision support, operational efficiency, research, and education. However, challenges such as data quality, health equity, privacy concerns, transparency, regulatory gaps, and ethical dilemmas necessitate careful navigation. Incorporating AI into otolaryngology practice in a safe, equitable, and patient-centered manner requires clinician judgment, transparent AI systems, and adherence to ethical and legal standards. The Task Force principles underscore the importance of otolaryngologists' involvement in AI's ethical development, implementation, and regulation to harness benefits while mitigating risks. The proposed principles inform the integration of AI in otolaryngology, aiming to enhance patient outcomes, clinician well-being, and efficiency of health care delivery. |
| DOI | 10.1002/ohn.1080 |
| Alternate Journal | Otolaryngol Head Neck Surg |
| PubMed ID | 39666770 |
| PubMed Central ID | PMC12369755 |
| Grant List | K76 AG079040 / AG / NIA NIH HHS / United States OT2 OD032720 / OD / NIH HHS / United States P20 GM130423 / GM / NIGMS NIH HHS / United States R03 CA253212 / CA / NCI NIH HHS / United States |
