Artificial intelligence in pediatric otorhinolaryngology: Assessing readability, understandability, and actionability of postoperative instructions
Although each AI platform shown strengths in some domains, none consistently fulfilled the criteria for optimal patient education. These findings underscore the necessity for enhanced AI training utilizing pediatric and caregiver-specific data to improve the quality of postoperative guidance in pediatric ORL care.
Authors
- Hisham Almutawa (ORCID: https://orcid.org/0000-0002-4941-869X)
- Yasser Albalawi
- Alya AlZabin (ORCID: https://orcid.org/0009-0001-7541-5521)
- Lulwah S. Alturki
- Danah AlJomah
- Mazyad M. AlEnezi
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Majmaah University (SA)
- King Fahd Medical City (SA)
- Prince Mohammed bin Abdulaziz Hospital (SA)
- King Abdulaziz Hospital (SA)
Publication Details
- Journal
- American Journal of Otolaryngology
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1016/j.amjoto.2026.104798
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00