Can Artificial Intelligence Software be Utilised for Thyroid Multi‐Disciplinary Team Outcomes?
AI is cheap, easy to use can optimise complex thyroid MDT decision making. This could free some clinicians allowing them to meet other demands of the ENT service. Some key issues are the inability to completely rely on the AI software for outcomes without being counterchecked by a clinician.
Authors
- Xenophon Kochilas
- Samuel Chan (ORCID: https://orcid.org/0000-0001-6726-8691)
- Amir Habeeb (ORCID: https://orcid.org/0000-0002-9160-5800)
- Furrat Amen
- Nazir Ahmad Bhat (ORCID: https://orcid.org/0000-0001-6894-4233)
- Kelvin Lim (ORCID: https://orcid.org/0009-0005-4391-5803)
Institutions
- Queen Mary University of London (GB)
- Peterborough City Hospital (GB)
Publication Details
- Journal
- Clinical Otolaryngology
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1111/coa.14305
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96