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We are proud to announce that Skinive received ISO-13485 Quality Management System (QMS *) Certificate (integrated with IEC 62304 and ISO 14971) for medical devices and software in December 2020. Safety and quality are non-negotiable in medical devices, which is why our company’s management system is ISO 13485 certified. ISO 13485 standard is the progressive design, […]

Note: This is not the current version of the report! Skinive improved the accuracy of the neural network in 2021 and published the data. The latest version of the report is available at the link – https://skinive.com/skinive-accuracy2021/ Table of contents – ABSTRACT1. INTRODUCTION2. SKINIVE ALGORITHM TO ANALYZE THE SKIN LESION IMAGES2.1 Nosologies & Classes2.2 Neural network […]

After weeks of deliberation, Rockstart has finalized the selection and launched its 3rd AI accelerator program, which kicked off last Thursday night in ‘s-Hertogenbosch, the Netherlands. Attendees included mentors, investors as well as other start-ups. These talented entrepreneurs from ten startups across eight different countries will spend the next six months building and refining their […]

Doctor Roitberg’s Doctor Smart online medical consultation service, in partnership with the Skinive AI project, has launched a new service – skin scoring based on artificial intelligence (AI). Users can scan their moles (pigmented nevus) in a few seconds by uploading a photo to the application. The neural network will analyze the image and prepare […]

We are pleased to announce that Skinive is now available on Microsoft Azure Marketplace and we became a part of Microsoft Partner Network! The Skinive team is open to collaborating with third-party solution developers at DigitalHealth and has announced the publication of its solution in the Azure cloud! Skinive.Cloud is available to third-party application developers […]

While you most likely don’t realize it, machine learning is often used in your daily life. For example, when social media suggests tagging your friends in pictures because it recognizes them, or the spam filter on your email account removing unwanted emails. In healthcare, machine learning also takes its part in recognizing skin cancer. Machine […]