{"id":176624,"date":"2025-01-06T02:18:05","date_gmt":"2025-01-06T07:18:05","guid":{"rendered":"https:\/\/innowise.com\/?post_type=case&p=176624"},"modified":"2026-03-12T04:56:34","modified_gmt":"2026-03-12T08:56:34","slug":"ai-skin-scanner-app","status":"publish","type":"case","link":"https:\/\/innowise.com\/es\/case\/ai-skin-scanner-app\/","title":{"rendered":"Aplicaci\u00f3n de esc\u00e1ner de piel con dermatolog\u00eda por IA"},"content":{"rendered":"\t\t
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AI scanner app for skin condition assessments<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n AI<\/a>\n <\/div>\n \n
\n Android<\/a>\n <\/div>\n \n
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Innowise has developed an AI-powered app that uses deep learning and image recognition to quickly assess skin conditions, giving fast, preliminary diagnoses based on uploaded photos.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t

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Challenge<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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With increasing competition in the region, the client recognized the potential of AI not just for improving diagnostics, but as a powerful marketing tool. They wanted to attract new patients, particularly in the high-net-worth segment, and position themselves as technology leaders.<\/span><\/p>

For this purpose, the client decided to develop a ML-powered mobile app<\/span><\/a> to automate the preliminary diagnostics of skin conditions. A key challenge here was the need to acquire and maintain high-quality image data for training and validating an ML model, aiming for ambitious accuracy targets while acknowledging the limitations posed by variable image quality. Without an internal development team to deliver it, they reached out to Innowise.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Solution<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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An AI-driven platform integrating mobile apps and a web admin panel<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Innowise developed a comprehensive platform comprising two interconnected mobile applications and a web-based administration panel, all powered by a custom-modified DINOv2 model using transfer learning with Convolutional Neural Networks (CNNs).<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Patient app (iOS and Android)<\/b>: This app serves as an advanced marketing tool, offering users a free, ML-powered preliminary skin assessment. This innovative approach provides instant assessments for 30 skin conditions, acting as a lead generation tool for the clinic network. The app’s user-friendly design and personalized recommendations encourage users to book consultations.<\/span><\/p>

Physician photo collection app (iOS and Android)<\/b>: This app allows clinic staff to securely capture and upload high-quality images of various skin conditions, directly contributing to the ongoing training and refinement of the DINOv2 model. This continuous feedback loop ensures the AI remains accurate and up-to-date. The app also includes a reporting system for tracking photo statistics and diagnosed conditions, providing valuable data for analysis and improvement.<\/span><\/p>

Web-based administration panel<\/b>: This panel provides clinic administrators with comprehensive tools to manage diagnoses, configure treatments and medications by country, review AI-generated assessments, analyze app usage data, and generate reports. This centralized system streamlines operations and provides valuable insights into patient demographics and trends.<\/span><\/p>

The entire platform is built on a scalable and secure AWS cloud infrastructure, ensuring data privacy and reliable performance. The initial dataset for the DINOv2 model was provided by the client and is continuously augmented by images collected through the physician app.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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