CONCLUSION
In summary, we developed a deep learning model which could be useful in
helping junior otolaryngologists and non-otolaryngologists to diagnose
attic retraction pocket and atelectasis.
CONFLICT OF INTEREST The authors have no potential conflicts of
interest with respect to the research, authorship and/ or publication of
this article.
CONSENT TO PARTICIPATE The participants signed formal consent
to share in this study.
CONSENT FOR PUBLICATION Additional informed consent was
obtained from all participants to share and publish their data in this
article.
DATA AVAILABILITY STATEMENT The datasets used and analysed
during the current study are available from the corresponding author on
reasonable request.