Dermatological Scanning

To improve greatly:

1. Early identification of potential melonoma

2. PASI classification in psoriasis

Through the use of existing UVB treatment facilities.

There are extensive existant facilities that could be used to implement full-body scans in a control environment and deliver high contrast full body imagery, these being the UVB (phototherapy) treatment facilities for psoriasis patients. Attach a standard camera that can be controlled to capture a full, 360deg, scan of the patient. Attached to a neural network processor (directly to a PC or through the cloud), this will be able to build a model of the patients derma and enable accurate identification of skin disorders and extent and progression over time.

Why the contribution is important

PASI analysis for psoraisis patients is known to be innacurate as it currently relies on a brief visual estimate by a staff member. Psoriasis is a disease that has siginifcant detrimental effect on suferers and affects circa 2% of the general population.

Melanoma is a horrible form of cancer that requires extensive resource in early identification , with patchy results. It is likely to only increase in a warming World (it is a major killer in Australia for example). 

Hooking up a relatively simple AI process via existing facilities offers a low cost option that could prevent signifcant deaths and supply valuable data that is not being recorded presently.

This approach can offer results, quickly and cheaply, and results that will have siginificant impact.

FYI, I am working on a MSc covering aspects of this with potential for a Phd.

by NSeletzky on May 30, 2018 at 01:53PM

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Comments

  • Posted by OAIteam July 11, 2018 at 12:38

    Thank you for your comment. Given your ongoing academic work, you are clearly well-informed of the increasing interest in and testing of AI applications to identify and classify disorders of various kinds – whether skin conditions, cancers, and eye or heart scans.

    In May, government launched its first Mission under the AI and Data Grand Challenge, which focuses on early diagnosis. The Mission aims for the UK to lead the world in the use of health data, artificial intelligence and innovation to transform the prevention, early diagnosis and treatment of chronic diseases by 2030. A big part of this mission incorporates early diagnosis through AI applications to digitised radiology and pathology scans.

    In meeting the Industrial Strategy’s objectives, departments across government are working with industry and researchers across the UK support this and other Missions. Follow this link to read more about the Industrial Strategy’s Grand Challenges and Missions: https://www.gov.uk/[…]/missions.
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