Article

Leveraging Machine Learning & Mobile Application Technology for Vitiligo Management: A Proof-of-Concept

2024-09-06

Abstract excerpt

Vitiligo, a dermatological condition characterized by depigmented patches on the skin, affects up to 2% of the global population. Its management is complex, often hindered by delayed diagnosis due to limited access to dermatologists and/ digital tools. Recent advancements in machine learning (ML) offer a potential solution by providing digital tools for early detection and management. This proof-of-concept study d...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c7e7b27c-0861-5f61-917e-f3db263a8f70
DOI: 10.1101/2024.09.06.24313068

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Leveraging Machine Learning & Mobile Application Technology for Vitiligo Management: A Proof-of-ConceptDOI 10.1101/2024.09.06.24313068Read

Automated Skin Disease Classification Using Fine-Tuned MobileNetV2 Implemented with TensorFlow and KerasSemantic proximity Read

Development of a Convolutional Neural Network-Based System for Skin Disease ClassificationSemantic proximity Read

Deep neural frameworks improve the accuracy of general practitioners in the classification of pigmented skin lesionsSemantic proximity Read

Teledermoscopy in the Diagnosis of Melanocytic and Non-melanocytic Skin Lesions: Nurugo<sup>tm</sup> Derma Smartphone Microscope as a Possible New Tool in Daily Clinical PracticeSemantic proximity Read

Skin Lesion Classification and Detection Using Machine Learning in DermatologySemantic proximity Read

A Reliable and Effective Approach for Computerized Skin Disease Classification Using MobileNetV3 and LSTMSemantic proximity Read

Use of artificial intelligence as a diagnostic support tool for skin lesions in primary care: feasibility study in clinical practiceSemantic proximity Read

Improved Skin Cancer Detection with 3D Total Body Photography: Integrating AI Algorithms for Precise DiagnosisSemantic proximity Read

Deep Learning Models for Automated Classification of Seborrheic Keratosis: A Comprehensive Literature Review and Comparative StudySemantic proximity Read

Integrative Approaches for Skin Cancer Detection and Classification : A Dual modal AnalysisSemantic proximity Read

Cancer-Net SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy ImagesSemantic proximity Read

Melanoma Detection Using Deep Learning and Cool & Warm Color SegmentationSemantic proximity Read