Oddbean

https://image.nostr.build/0b91073e507485d680a364d63e70892eb103356d4185d4ced9b6c69dae2256b6.jpg Introducing Viteye: An AI-Driven Solution for Melanoma Detection, Diagnosis, and Direct Consultation Hey #nostr! I am excited to share with you our innovative approach in the field of healthcare - Viteye, a software solution that’s helping to improve the way we detect and diagnose melanoma. We are launching our open beta testing and welcoming everyone who is interested to participate! The use of Viteye is completely free. The Problem: Melanoma, a highly aggressive form of skin cancer, is on the rise globally. Early detection is crucial for effective treatment and improved patient outcomes, but current diagnostic methods are limited, leading to high mortality rates. The Solution: Viteye’s AI-driven software platform uses machine learning technology to accurately diagnose melanoma by analyzing images of suspicious pigmented lesions. This approach surpasses traditional diagnostics, reducing the risk of underdiagnosis and overdiagnosis. Since users do not generally have easy access to a dermatoscope with immersion, we have developed the lens shown in the photo, which allows Viteye users to install it on their phone and, in tandem with high-quality cameras in modern phones, enables the full potential of the model to be revealed. The lens attachment uses two cross-polarized LEDs, which allows the obtained image to be almost identical to the image obtained using liquid immersion. The polarized light eliminates skin glare and illuminates the upper layer of skin to obtain an image of a deeper structure of the neoplasm. It also allows for clearer, more precise, and detailed examination of the colors, shapes, and textures of skin lesions. It’s worth noting that while the use of this lens is recommended for use with the application, it’s not mandatory. Medical professionals can use the application with other types of dermatoscopes that use either immersion or cross-polarization. Photos for analysis can also be selected from the local gallery of the mobile device. PLEASE NOTE: the model was trained on photographs taken with immersion, so using photos taken without a dermatoscope may lead to inaccurate results. For optimal accuracy, we recommend using the lens or a dermatoscope with immersion or cross-polarization capabilities. Key Features: * Multiplatform accessibility (Android, iPhone, laptops, PCs) * Multilingual interface to serve a diverse user base * Accurate melanoma detection using a machine learning model trained on thousands of histologically confirmed clinical cases (gold standard dataset). * Direct consultation within the application for instant expert advice * Simplified patient database management for healthcare providers * Auto-translated chat for seamless communication between patients and doctors Pipeline: We’re currently working on incorporating additional models trained for Kaposi’s sarcoma and basal cell carcinoma, which will be implemented in upcoming updates. This will further expand the capabilities of our platform and improve patient outcomes. Try out the application: viteye.app I’d love to hear your thoughts and feedback on Viteye! Let’s work together to improve melanoma detection and improve patient outcomes. https://image.nostr.build/6bd20ee7a0c5e17745dd412dbf8ec33574f6d2538a47560dc40065fc516b7b02.jpg https://image.nostr.build/63dcce1d62fcce62d6e3eb4da832f2b69666fe9c3c617c8030ffac3238f93d61.jpg