Teledermatology and Artificial Intelligence

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dc.catalogadorgjm
dc.contributor.authorNavarrete Dechent, Cristián Patricio
dc.date.accessioned2024-05-23T17:13:43Z
dc.date.available2024-05-23T17:13:43Z
dc.date.issued2022
dc.description.abstractBackground: The use of artificial intelligence (AI) algorithms for the diagnosis of skin diseases has shown promise in experimental settings but has not yet been tested in real-life conditions. The COVID-19 pandemic led to a worldwide disruption of health systems, increasing the use of telemedicine. There is an opportunity to include AI algorithms in the teledermatology workflow. Objective: The aim of this study is to test the performance of and physicians’ preferences regarding an AI algorithm during the evaluation of patients via teledermatology. Methods: We performed a prospective study in 340 cases from 281 patients using patient-taken photos during teledermatology encounters. The photos were evaluated by an AI algorithm and the diagnosis was compared with the clinician’s diagnosis. Physicians also reported whether the AI algorithm was useful or not. Results: The balanced (in-distribution) top-1 accuracy of the algorithm (47.6%) was comparable to the dermatologists (49.7%) and residents (47.7%) but superior to the general practitioners (39.7%; P=.049). Exposure to the AI algorithm results was considered useful in 11.8% of visits (n=40) and the teledermatologist correctly modified the real-time diagnosis in 0.6% (n=2) of cases. Algorithm performance was associated with patient skin type and image quality. Conclusions: AI algorithms appear to be a promising tool in the triage and evaluation of lesions in patient-taken photographs via telemedicine.
dc.fuente.origenORCID
dc.identifier.doi10.2196/36894
dc.identifier.urihttps://doi.org/10.2196/36894
dc.identifier.urihttps://www.iproc.org/2022/1/e36894
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85765
dc.information.autorucEscuela de Medicina; Navarrete Dechent, Cristián Patricio; 0000-0003-4040-3640; 156251
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido parcial
dc.revistaiProceedings
dc.rightsacceso restringido
dc.subjectTeledermatology
dc.subjectArtificial intelligence
dc.subjectDiagnosis
dc.subjectProspective
dc.subjectAugmented intelligence
dc.subjectCOVID-19
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleTeledermatology and Artificial Intelligence
dc.typecomunicación de congreso
dc.volumen8
sipa.codpersvinculados156251
sipa.trazabilidadORCID;2024-05-20
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