Dermatology
Accuracy of a smartphone application for triage of skin lesions based on machine-learning algorithms.
4 SEP 2019 – Retrospective Accuracy Study
A Udrea
Journal of the European Academy of Dermatology and Venereology
Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study – PubMed
It is a prospective study, published in 2022
Tobias Sangers
JMIR Publications
Development of Smartphone Apps for Skin Cancer Risk Assessment: Progress and Promise.
11 JUL 2019 – mHealth Skin Cancer App Review
Tiago M de Carvalho 1
Telemedicine and e-Health
mHealth App for Risk Assessment of Pigmented and Nonpigmented Skin Lesions-A Study on Sensitivity and Specificity in Detecting Malignancy.
23 DEC 2017 – Eindhoven Clinical Validation Stud
Monique Thissen
Other publications About SkinVision:
npj Digital Medicine
An artificial intelligence based app for skin cancer detection evaluated in a population based setting
- Anna M. Smak Gregoor et al.
- Read more…
Artificial intelligence in mobile health for skin cancer diagnostics at home (AIM HIGH): a pilot feasibility study
- Anna M Smak Gregoor et al.
- Read more …
JEADV 2021
Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysisT.E. Sangers, T. Nijsten, M. Wakkee
DOI: 10.1111/jdv.17442
British Journal of Dermatology
Views on mobile health apps for skin cancer screening in the general population: an in-depth qualitative exploration of perceived barriers and facilitators
T.E. Sangers, M. Wakkee, E.C. Kramer-Noels, T. Nijsten and M. Lugtenberg
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