SkinVision Unveils Breakthrough Algorithm that Takes the Fight to Skin Cancer

Dutch mobile health startup SkinVision has revealed its new algorithm that can detect most common forms of deadly skin cancer. Previously focused on detecting melanoma skin cancer, the app can now identify Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC) too, the first app ever to do that.

Across the world, more than one billion people are at risk of developing skin cancer at some point in their lives. Helping them prepare is a selected group of dermatologists. For example 10,000 in the US and only 550 in the UK. SkinVision’s new algorithm will help provide people with a means to assess moles for risk indication on demand to save time and lives. Users can download the app for free and can perform a number of free assessments as well.

There is a seamless connection between users and their doctors to monitor skin lesions with a personal archive that can be used as reference during visits, saving time and improving efficiency for dermatologists.

"Our mission is to empower people to early detect skin cancer, which is highly important for possible treatment options," says SkinVision founder and CEO Erik de Heus. "We aim to save 250,000 lives in the next decade."

Melanoma is a type of skin cancer that forms in the cells responsible for skin pigmentation, known as melanocytes. Although it is less common than other forms of skin cancer, it is much more aggressive. In the United States alone, melanoma accounts for more than, 10,000 of the 13,000 deaths caused by skin cancer each year. Research shows that 5,4 million non-melanoma skin cancer cases are identified every year in the US.

SkinVision has now expanded its remit to identify and alert people to these non-melanoma cancers, like BCC and SCC cancers, too.

"Our new algorithm can recognize nine in every 10 cases of deadly skin cancer," de Heus continues. "This is because our latest research shows 88 per cent sensitivity towards melanoma skin cancer. Our work has been scientifically tested in the leading dermatology clinic at Ludwig-Maximilians-Universitat Clinic in Munich, Germany."

SkinVision is available for both iPhone and Android (Samsung S4 and up only for now) here. The app can be used worldwide except in the US, although the company indicates it will be arriving there soon.

For further information, please visit:
http://skinvision.com

About SkinVision
SkinVision is a Dutch health startup based in Amsterdam. SkinVision's newest algorithm helps health conscious people to identify Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC) skin cancers, as well as more aggressive melanoma varieties.

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...