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Presented at25th Oman Otolaryngology, Head & Neck and Audiology Conference in 2026· 28 August 2026 at 15:05 · Shown in Muscat time (GST)

AI in Otology, How to spot a good AI project in your own practice

aiotologyscientific

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Exploring the AI solutions that are used in Otology and CI

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References

  1. Byun H, et al. Automatic prediction of conductive hearing loss using video pneumatic otoscopy. Ear Hear. 2022.
  2. Cao Z, et al. Deep learning for automated otoscopic diagnosis: meta-analysis. Laryngoscope. 2023.
  3. Surapaneni A, et al. Prospective multicentre AI otoscopy in children. Otolaryngol Head Neck Surg. 2025.
  4. Chen Y, et al. Explainable 3D CNN for cholesteatoma detection on temporal bone CT. J Med Internet Res. 2024.
  5. Takahashi M, et al. Preoperative prediction of mastoid extension in cholesteatoma. PLoS One. 2022.
  6. George-Jones NA, et al. Automated vestibular schwannoma volumetry and growth detection. Laryngoscope. 2021.
  7. Cass ND, et al. External validation failure in vestibular schwannoma segmentation. Otol Neurotol. 2022.
  8. Ding AS, et al. Deep learning segmentation of temporal bone structures. Otolaryngol Head Neck Surg. 2022.
  9. Shew M, et al. Machine learning prediction of cochlear implant outcomes. Ear Hear. 2025.
  10. Mo H, et al. Systematic review of ML for cochlear implant outcome prediction. Ear Hear. 2025.
  11. Wallaert N, et al. Bayesian pure-tone audiometry with automated masking. World J Otorhinolaryngol Head Neck Surg. 2024.
  12. Healy EW, et al. Deep learning noise reduction and speech intelligibility. J Acoust Soc Am. 2023.
  13. Fujita T, et al. Robotics in otologic surgery: current state and barriers. Auris Nasus Larynx. 2025.
  14. Maini R, et al. ML classification of expertise in temporal bone dissection. Laryngoscope Investig Otolaryngol. 2025.
  15. Rotenstein L, et al. Ambient AI documentation across 8,581 clinicians. JAMA. 2026.
  16. Taylor J, et al. Error audit of AI-generated clinical notes. JMIR Med Inform. 2026.
  17. Long C, et al. GPT-4 on otolaryngology board-style examination. JMIR Med Educ. 2024.
  18. Noda M, et al. GPT-4V on the Japanese otolaryngology board examination. JMIR Med Educ. 2024.
  19. Celi LA, et al. Sources of bias in clinical AI datasets: a global review. PLOS Digit Health. 2022.
  20. Mäkitie AA, et al. Umbrella review of AI in head and neck practice. Adv Ther. 2023.
  21. Koyama H. Machine learning application in otology. Auris Nasus Larynx. 2024.
  22. World Health Organization World Report on Hearing. WHO, 2021.