Analysis of Skinive algorithm’s  accuracy for risk assessment of skin conditions, based on machine learning algorithms.

22nd June 2020

Analysis of Skinive algorithm’s accuracy for risk assessment of skin conditions, based on machine learning algorithms.

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 […]

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Skinive launched the  3rd edition of the Rockstart acceleration program in the list of top 10 teams!

24th October 2019

Skinive launched the 3rd edition of the Rockstart acceleration program in the list of top 10 teams!

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 […]

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Skinive is now available in the Doctor Smart app

11th August 2019

Skinive is now available in the Doctor Smart app

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 […]

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Now Skinive is available for independent developers in the Azure Marketplace!

2nd July 2019

Now Skinive is available for independent developers in the Azure Marketplace!

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 […]

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How Machine Learning Technology Detects Skin Diseases

10th December 2018

How Machine Learning Technology Detects Skin Diseases

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 […]

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