ArticleDiagnostics (Basel, Switzerland)2021
The Role in Teledermoscopy of an Inexpensive and Easy-to-Use Smartphone Device for the Classification of Three Types of Skin Lesions Using Convolutional Neural Networks.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Social Media Use in Dermatology in Turkey: Challenges and Tips for Patient Health.JMIR dermatology · 2024Article
- Advancing Dermatological Care: A Comprehensive Narrative Review of Tele-Dermatology and mHealth for Bridging Gaps and Expanding Opportunities beyond the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2023Review
- Accuracy of a Smartphone-Based Artificial Intelligence Application for Classification of Melanomas, Melanocytic Nevi, and Seborrheic Keratoses.Diagnostics (Basel, Switzerland) · 2023Article
- Telemedicine in cancer care during COVID-19 pandemic: a systematic mapping study.Health and technology · 2023Article
- AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions.Cancers · 2023Review
- Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text.Frontiers in artificial intelligence · 2023Article
- Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends.Journal of clinical medicine · 2022Review
- The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review.Journal of medical Internet research · 2022Article
- A Call to Action: Evidence for the Military Integration of Teledermoscopy in a Pandemic Era.Dermatopathology (Basel, Switzerland) · 2022Review
- Teledermoscopy in the Diagnosis of Melanocytic and Non-Melanocytic Skin Lesions: NurugoDiagnostics (Basel, Switzerland) · 2022Article
- Melanoma Management during the COVID-19 Pandemic Emergency: A Literature Review and Single-Center Experience.Cancers · 2021Review
- Editorial: The Emerging Role of Artificial Intelligence in Dermatology.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of teledermatology has spread over the last years, especially during the recent SARS-Cov-2 pandemic. Teledermoscopy, an extension of teledermatology, consists of consulting dermoscopic images, also transmitted through smartphones, to remotely diagnose skin tumors or other dermatological diseases. The purpose of this work was to verify the diagnostic validity of images acquired with an inexpensive smartphone microscope (Nurugo
methodsThe CNN, trained with 600 dermatoscopic images from the ISIC (International Skin Imaging Collaboration) archive, was tested on three test sets: ISIC images, images acquired with the Nurugo
resultsThe results obtained, although with some limitations due to the smartphone device and small data set, were encouraging, showing comparable results to the clinical dermatoscope and up to 80% accuracy (out of 10 images, two were misclassified) using the Nurugo
conclusionConsidering the low cost and the ease of use, the Nurugo
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.