Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.

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Title: Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.
Authors: Xu Y; AI for Good Lab, Microsoft, Redmond, Washington, United States of America., Habib AR; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.; Department of Otolaryngology, Head and Neck Surgery, Westmead Hospital, Sydney, New South Wales, Australia.; Department of Otolaryngology - Head and Neck Surgery, Queensland Children's Hospital, South Brisbane, Queensland, Australia., Crossland G; Department of Otolaryngology - Head and Neck Surgery, Royal Darwin Hospital, Tiwi, Northern Territory, Australia., Patel H; Department of Otolaryngology - Head and Neck Surgery, Royal Darwin Hospital, Tiwi, Northern Territory, Australia., Perry C; University of Queensland Medical School, Brisbane, Queensland, Australia., Bock K; Azure FastTrack Engineering, Microsoft, Brisbane, Queensland, Australia., Lian T; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.; Department of Otolaryngology, Head and Neck Surgery, Westmead Hospital, Sydney, New South Wales, Australia., Weeks WB; AI for Good Lab, Microsoft, Redmond, Washington, United States of America., Dodhia R; AI for Good Lab, Microsoft, Redmond, Washington, United States of America., Ferres JL; AI for Good Lab, Microsoft, Redmond, Washington, United States of America., Singh NP; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.; Department of Otolaryngology, Head and Neck Surgery, Westmead Hospital, Sydney, New South Wales, Australia.
Source: PloS one [PLoS One] 2026 May 07; Vol. 21 (5), pp. e0338867. Date of Electronic Publication: 2026 May 07 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
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  Data: Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.
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  Data: <searchLink fieldCode="AU" term="%22Xu+Y%22">Xu Y</searchLink>; AI for Good Lab, Microsoft, Redmond, Washington, United States of America.<br /><searchLink fieldCode="AU" term="%22Habib+AR%22">Habib AR</searchLink>; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.; Department of Otolaryngology, Head and Neck Surgery, Westmead Hospital, Sydney, New South Wales, Australia.; Department of Otolaryngology - Head and Neck Surgery, Queensland Children's Hospital, South Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Crossland+G%22">Crossland G</searchLink>; Department of Otolaryngology - Head and Neck Surgery, Royal Darwin Hospital, Tiwi, Northern Territory, Australia.<br /><searchLink fieldCode="AU" term="%22Patel+H%22">Patel H</searchLink>; Department of Otolaryngology - Head and Neck Surgery, Royal Darwin Hospital, Tiwi, Northern Territory, Australia.<br /><searchLink fieldCode="AU" term="%22Perry+C%22">Perry C</searchLink>; University of Queensland Medical School, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Bock+K%22">Bock K</searchLink>; Azure FastTrack Engineering, Microsoft, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Lian+T%22">Lian T</searchLink>; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.; Department of Otolaryngology, Head and Neck Surgery, Westmead Hospital, Sydney, New South Wales, Australia.<br /><searchLink fieldCode="AU" term="%22Weeks+WB%22">Weeks WB</searchLink>; AI for Good Lab, Microsoft, Redmond, Washington, United States of America.<br /><searchLink fieldCode="AU" term="%22Dodhia+R%22">Dodhia R</searchLink>; AI for Good Lab, Microsoft, Redmond, Washington, United States of America.<br /><searchLink fieldCode="AU" term="%22Ferres+JL%22">Ferres JL</searchLink>; AI for Good Lab, Microsoft, Redmond, Washington, United States of America.<br /><searchLink fieldCode="AU" term="%22Singh+NP%22">Singh NP</searchLink>; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.; Department of Otolaryngology, Head and Neck Surgery, Westmead Hospital, Sydney, New South Wales, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 May 07; Vol. 21 (5), pp. e0338867. <i>Date of Electronic Publication: </i>2026 May 07 (<i>Print Publication: </i>2026).
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