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Evaluation of the D...
Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis.
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- Zaar, Oscar (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology,Sahlgrenska University Hospital,Sahlgrenska Academy
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- Larson, Alexander (författare)
- Sahlgrenska University Hospital,Sahlgrenska Academy
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- Polesie, Sam (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology,Sahlgrenska University Hospital,Sahlgrenska Academy
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- Saleh, Karim (författare)
- Lund University,Lunds universitet,Dermatologi och venereologi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Schmidtchen lab,Forskargrupper vid Lunds universitet,Hudcancerforskning vid Lunds universitet,Dermatology and Venereology (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Schmidtchen Lab,Lund University Research Groups,LUSCaR- Lund University Skin Cancer Research group
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- Tarstedt, Mikael (författare)
- Karlskoga Hospital
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- Olives, Antonio (författare)
- Juaneda General Hospital
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- Suárez, Andrea (författare)
- Teladoc Health, Inc.
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- Gillstedt, Martin, 1977 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för dermatologi och venereologi,Institute of Clinical Sciences, Department of Dermatology and Venereology,Sahlgrenska University Hospital,Sahlgrenska Academy
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- Neittaanmäki, Noora (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för laboratoriemedicin,Department of Laboratory Medicine,Sahlgrenska University Hospital,Sahlgrenska Academy
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(creator_code:org_t)
- 2020
- 2020
- Engelska.
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Ingår i: Acta dermato-venereologica. - : Medical Journals Sweden AB. - 0001-5555 .- 1651-2057. ; 100:16
- Relaterad länk:
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https://doi.org/10.2...
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http://dx.doi.org/10... (free)
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https://gup.ub.gu.se...
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https://doi.org/10.2...
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https://lup.lub.lu.s...
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Abstract
Ämnesord
Stäng
- Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the consumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application (Skin Image Search™) for recognition of skin diseases. Clinical images including tumours, infective and inflammatory skin diseases were collected at the Department of Dermatology at the Sahlgrenska University Hospital and uploaded for classification by the online application. The AI algorithm classified the images giving 5 differential diagnoses, which were then compared to the diagnoses made clinically by the dermatologists and/or histologically. We included 521 images portraying 26 diagnoses. The diagnostic accuracy was 56.4% for the top 5 suggested diagnoses and 22.8% when only considering the most probable diagnosis. The level of diagnostic accuracy varied considerably for diagnostic groups. The online application demonstrated low diagnostic accuracy compared to a dermatologist evaluation and needs further development.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Dermatologi och venereologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Dermatology and Venereal Diseases (hsv//eng)
Nyckelord
- Algorithms
- Artificial Intelligence
- Diagnosis
- Differential
- Humans
- Skin Diseases
- diagnosis
- Artificial intelligence
- Dermato-logy
- Online diagnostics
- Skin disease
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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