Validation of a market-approved artificial intelligence mobile health app for skin cancer screening: a prospective multicenter diagnostic accuracy study

T Sangers, S Reeder, S van der Vet, S Jhingoer… - Dermatology, 2022 - karger.com
Background: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

[HTML][HTML] Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study

T Sangers, S Reeder, S van der Vet, S Jhingoer… - Dermatology, 2022 - karger.com
Background: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study.

T Sangers, S Reeder, S van der Vet… - Dermatology …, 2022 - search.ebscohost.com
Background: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study.

T Sangers, S Reeder, S van der Vet… - Dermatology (Basel …, 2022 - europepmc.org
Background Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

[PDF][PDF] Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study

AMDMS Tamar, NM Wakkeea - 2022 - scholar.archive.org
Background: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study

T Sangers, S Reeder, S van der Vet… - Dermatology …, 2022 - pubmed.ncbi.nlm.nih.gov
Background Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

[PDF][PDF] Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study

AMDMS Tamar, NM Wakkeea - Dermatology, 2022 - researchgate.net
Background: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

Validation of a market-approved artificial intelligence mobile health app for skin cancer screening: a prospective multicenter diagnostic accuracy study.

T Sangers, S van der Vet, S Jhingoer, M Wakkee… - 2022 - cabidigitallibrary.org
Backgroun: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

[HTML][HTML] Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study

T Sangers, S Reeder, S van der Vet… - Dermatology (Basel …, 2022 - ncbi.nlm.nih.gov
Background Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …

Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study.

T Sangers, S Reeder, S van der Vet… - Dermatology (Basel …, 2022 - europepmc.org
Background Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …