[1] TOPOL E J.High-performance medicine:the convergence of human and artificial intelligence[J].Nature Medicine,2019,25(1):44-56.

[2] KOYAMA H.Machine learning application in otology[J].Auris Nasus Larynx,2024,51(4):666-673.

[3] ALTER I L,CHAN K,LECHIEN J,et al.An introduction to machine learning and generative artificial intelligence for otolaryngologists-head and neck surgeons:a narrative review[J].European Archives of Oto-Rhino-Laryngology,2024,281(5):2723-2731.

[4] RAPOPORT N,PAVELCHEK C,MICHELSON A P,et al.Artificial intelligence in otology and neurotology[J].Otolaryngologic Clinics of North America,2024,57(2024):791-802.

[5] ELYAN E,VUTTIPITTAYAMONGKOL P,JOHNSTON P,et al.Computer vision and machine learning for medical image analysis:recent advances,challenges,and way forward[J].Artificial Intelligence Surgery,2022,2(1):24-45.

[6] NGOMBU S,BINOL H,GURCAN M N,et al.Advances in artificial intelligence to diagnose otitis media:state of the art review[J].Otolaryngology—Head and Neck Surgery,2023,168(4):635-642.

[7] RONY M A,FATEMA K,RAIAAN M A,et al.Artificial intelligence-driven advancements in otitis media diagnosis:a systematic review[J].IEEE Access,2024,12:992282.DOI:10.1109/ACCESS.2024.3428700

[8] SONG D,KIM T,LEE Y,et al.Image-based artificial intelligence technology for diagnosing middle ear diseases:a systematic review[J].Journal of Clinical Medicine,2023,12(18):5831.

[9] HABIB A R,KAJBAFZADEH M,HASAN Z,et al.Artificial intelligence to classify ear disease from otoscopy:a systematic review and meta-analysis[J].Clinical Otolaryngology,47(3):401-413.

[10] FANG T Y,LIN T Y,SHEN C M,et al.Algorithm-driven tele-otoscope for remote care for patients with otitis media[J].Otolaryngology—Head and Neck Surgery,2024,170(6):1590-1597.

[11] EZZIBDEH R,MUNJAL T,AHMAD I,et al.Artificial intelligence and tele-otoscopy:a window into the future of pediatric otology[J].International Journal of Pediatric Otorhinolaryngology,2022,160:111229.

[12] CHEN L,LI C,HE A,et al.Long-term effectiveness of ear molding and factors affecting outcomes[J].Plastic and Reconstructive Surgery,2024,153(4):905-913.

[13] HALLAC R R,LEE J,PRESSLER M,et al.Identifying ear abnormality from 2D photographs using convolutional neural networks[J].Scientific Reports,2019,9(1):18198.

[14] HALLAC R R,JACKSON S A,GRANT J,et al.Assessing outcomes of ear molding therapy by health care providers and convolutional neural network[J].Scientific Reports,2021,11(1):17875.

[15] WANG D,CHEN X,WU Y,et al.Artificial intelligence for assessing the severity of microtia via deep convolutional neural networks[J].Frontiers in Surgery,2022,9:929110.

[16] TOLBA M,QIAN Z J,LIN H F,et al.Use of convolutional neural networks to evaluate auricular reconstruction outcomes for microtia[J].The Laryngoscope,2023,133(9):2413-2416.

[17] REN L J,LUO F,YANG Z W,et al.A publicly available newborn ear shape dataset for medical diagnosis of auricular deformities[J].Scientific Data,2024,11(1):13.http://doi.org/10.1038/s41597-023-02834-4.

[18] HASAN Z,KEY S,HABIB A R,et al.Convolutional neural networks in ENT radiology:systematic review of the literature[J].Annals of Otology,Rhinology & Laryngology,2023,132(4):417-430.

[19] WANG Y M,LI Y,CHENG Y S,et al.Deep learning in automated region proposal and diagnosis of chronic otitis media based on computed tomography[J].Ear and Hearing,2020,41(3):669-677.

[20] DAOUD B,MOROOKA K I,KURAZUME R,et al.3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning[J].Computerized Medical Imaging and Graphics,2019,77:101644.

[21] CHO Y S,CHO K,PARK C J,et al.Automated measurement of hydrops ratio from MRI in patients with Ménière's disease using CNN-based segmentation[J].Scientific Reports,2020,10(1):7003.

[22] FEENEY M P,HUNTER L L,KEI J,et al.Consensus statement:Eriksholm workshop on wideband absorbance measures of the middle ear[J].Ear and Hearing,2013,34(supplement 1):78s-79s.

[23] SHAHNAZ N,ALMAKADMA H,SANFORD C A.The rise and fall of aural acoustic immittance assessment tools[J].Seminars in Hearing,2023,44(1):5-16.

[24] GRAIS E M,WANG X,WANG J,et al.Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning[J].Scientific Reports,2021,11(1):10643.

[25] GRAIS E M,NIE L,ZOU B,et al.An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance[J].Biomedical Signal Processing and Control,2024,87:105525.

[26] LIM E C,PARK J H,JEON H J,et al.Developing a diagnostic decision support system for benign paroxysmal positional vertigo using a deep-learning model[J].Journal of Clinical Medicine,2019,8(5):633.DOI:10.3392/jcm805063.

[27] ZHANG W,WU H,LIU Y,et al.Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis[J].Biomedical Signal Processing and Control,2021,68:102616.

[28] WU P,LIU X,DAI Q,et al.Diagnosing the benign paroxysmal positional vertigo via 1D and deep-learning composite model[J].Journal of Neurology,2023,270(8):3800-3809.

[29] YOU E,LIN V,MIJOVIC T,et al.Artificial intelligence applications in otology:a state of the art review[J].Otolaryngology—Head and Neck Surgery,2020,163(6):1123-1133.

[30] WALTZMAN S B,KELSALL D C.The use of artificial intelligence to program cochlear implants[J].Otology & Neurotology,2020,41(4):452-457.

[31] WATHOUR J,GOVAERTS P J,LACROIX E,et al.Effect of a CI programming fitting tool with artificial intelligence in experienced cochlear implant patients[J].Otology & Neurotology,2023,44(3):209-215.

[32] SAHOO L,PATNAIK U,SINGH N,et al.Comparing audiological outcomes of conventional and ai-upgraded cochlear implant speech processors[J].Indian Journal of Otolaryngology and Head & Neck Surgery,2024,76:4356-4364.

[33] PATEL E A,FLEISCHER L,FILIP P,et al.The use of artificial intelligence to improve readability of otolaryngology patient education materials[J].Otolaryngology—Head and Neck Surgery,2024,171(2):603-608.

[34] LONG C,LOWE K,ZHANG J,et al.A novel evaluation model for assessing ChatGPT on otolaryngology—head and neck surgery certification examinations:performance study[J].JMIR Medical Education,2024,10:e49970.

[35] LONG C,SUBBURAM D,LOWE K,et al.ChatENT:augmented large language model for expert knowledge retrieval in otolaryngology—head and neck surgery[J].Otolaryngology—Head and Neck Surgery,2024,171(4):1042-1051.

[36] ZALZAL H G,ABRAHAM A,CHENG J,et al.Can ChatGPT help patients answer their otolaryngology questions?[J].Laryngoscope Investigative Otolaryngology,2024,9(1):e1193.

[37] LECHIEN J R,NAUNHEIM M R,MANIACI A,et al.Performance and consistency of ChatGPT-4 versus otolaryngologists:a clinical case series[J].Otolaryngology—Head and Neck Surgery,2024,170(6):1519-1526.

[38] GEORGE M M,TOLLEY N S.AIM in otolaryngology and head & neck surgery[M].In:Lidstr?mer N,Ashrafian H.eds Artificial Intelligence in Medicine.Springer,Cham.https://doi.org/10.1007/978-3-030-58080-3_198-1