2020
DOI: 10.1111/dth.14453
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Online portal‐based system for improving patient‐generated photographs for teledermatology

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Cited by 4 publications
(2 citation statements)
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“…In particular, artificial intelligence (AI) technologies promise to yield seminal solutions. In Boston, Su et al [27] developed a feedback algorithm that outputs 'smart phrases' that prompt the patient to resubmit new images if the original images were of inadequate quality. This algorithm promises to increase the efficiency of TD by eliminating images that would not have yielded a diagnosis.…”
Section: Challenges and Solutionsmentioning
confidence: 99%
“…In particular, artificial intelligence (AI) technologies promise to yield seminal solutions. In Boston, Su et al [27] developed a feedback algorithm that outputs 'smart phrases' that prompt the patient to resubmit new images if the original images were of inadequate quality. This algorithm promises to increase the efficiency of TD by eliminating images that would not have yielded a diagnosis.…”
Section: Challenges and Solutionsmentioning
confidence: 99%
“…Furthermore, a study in the United States showed promising results with an automated machine learning algorithm that evaluates dermatology image quality and provides, if necessary, specific recommendations and guidance to patients about how to improve the quality of their images [ 48 ]. Su et al [ 49 ] launched a feedback algorithm with “smart phrases” that induces patients to retake images if the latest images were of insufficient quality. Such algorithms might also improve the quality of the submitted images in the Dutch digital dermatology platform over time.…”
Section: Discussionmentioning
confidence: 99%