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Melanoma is a kind of skin cancer that is increasing rapidly across the globe. In recent years, many regions in the world have witnessed a rise in the number of melanoma cases. The key to a good prognosis for melanoma is early stage diagnosis and detection through skin surveillance and screening. However, adherence to screening techniques is low among the global population. Thus, the detection of melanoma with the help of mobile applications has grown considerably in the recent past.

The proliferation of e-Health tools and various skin health mobile applications on smartphones has increased the emphasis on screening and early detection of melanoma. Recent market studies state that mobile applications can help in early diagnosis of the disease. The demand for europe and israel mobile applications for melanoma detection market has grown rapidly due to the rise in the incidence of melanoma and the resultant rise in mortality rate.

How effective are Smartphone Applications for Melanoma Detection?

Today, a number of health applications on smartphones claim to be able to assess skin issues. These apps also inform individuals whether such skin problems necessitate a visit to a dermatologist for further analysis. Mobile applications provide educational and interactive teaching regarding the basics (the ABCDEs) of melanoma detection. The apps also help in self-screening of melanoma. Many mole tracking and reminder applications help track moles that could lead to melanoma and remind patients to visit the clinic.

According to research conducted by leading analysts at a U.S.-based market firm, some of the mobile applications connect patients to doctors, while other applications provide image-based diagnosis.

For the forecast period 2014-2022, analysts studying the melanoma detection applications market found that among the various types of mobile applications available on platforms such as Blackberry OS, Android, iOS, and Windows Mobile OS, Apple and Android were the two most popular smartphone providers for cancer-related apps. The smartphone apps on these platforms help detect skin lesions with the help of stored photographic images of skin lesions in the application’s database. With the help of these stored images, users can compare their skin images with archived images.

Various Mobile Apps that Aim to Detect Melanoma

The market for mobile applications for melanoma detection has a large number of market entrants. Applications such as Spot Mole, Dr. Mole, and Melanoma Watch are among the most popular types of melanoma detection mobile applications on the market. Dr. Mole uses simple comparisons with stored images and provides patients with results based on the ABCDE method. Hence, the preference for these applications is increasing rapidly due to their convenient assistance in the early detection of melanoma and their cost-effectiveness.

Most recently, the market for mobile applications for melanoma detection has also witnessed the launch of an application called SkinVision, which uses a fractal geometry method to analyze the photos of moles and skin lesions clicked by the user.

The use of all such methods and skin image recognition techniques on smartphones has become one of the most attractive research areas in the past few years. Thanks to the widening scope of the smartphones market and rapidly widening internet connectivity, smartphone users are increasingly downloading a number of mobile applications for melanoma detection. The market in Europe in particular is growing at a stunning CAGR of 47.0% and is expected to reach US$1.5 million by 2022.

About us:

Transparency Market Research (TMR) is a U.S.-based provider of syndicated research, customized research, and consulting services. TMR’s global and regional market intelligence coverage includes industries such as pharmaceutical, chemicals and materials, technology and media, food and beverages, and consumer goods, among others. Each TMR research report provides clients with a 360-degree view of the market with statistical forecasts, competitive landscape, detailed segmentation, key trends, and strategic recommendations.

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Autor(en)/Author(s): Sudip. S

Quelle/Source: Medgadget, 11.12.2015

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