Deep Learning-Based Acne Apps Can Solve the Problem of Ineffective Office Consultations

Abstract

90% of acne patients never see a Dermatologist. Acne treatment products bought online or in local drugstores are not personalized to the skin type and acne severity of the user and are frequently irritating the skin or simply ineffective. A new mobile app uses computer vision and deep learning to assess the user’s skin and to provide personalized acne treatment medications, monitor the skin with simple selfies and to enhance commitment to the treatment.Acne affects approximately 7% of the population at any given moment. If untreated, acne frequently causes psychosocial stress, with the risk of life-long physical and mental scars. Ninety percent of acne patients never see a dermatologist. For those that do visit a dermatologist in-person, the experience is frequently frustrating. Acne patients interviewed for a recent British Journal of Dermatology study [1] complained about the frequent use of “high” language by their dermatologists, the lack of empathy to their psychosocial stress, the lack of understandable practical information for preventing acne and the lack of affordable followups. Virtual dermatologists, or telehealth services, are unfortunately not a commercially viable option. The low monetary compensation offered to these dermatologists results in extra-short “visits” estimated to be 2 minutes per patient. In addition, these “virtual” visits are the same as in-person dermatology visits in the sense that they do not provide guidance on how to prevent acne and are not able to track or enhance the commitment to treatment. Additionally, follow-ups require additional payments. As office and telehealth visits are short and expensive, most acne patients look for anti-acne products on the web or in local drugstores. These “one size fits all” treatments are frequently irritating or simply ineffective. new type of acne app may provide a physician-free solution to the majority of people with acne. This app (MDacne, IOS) uses computer vision and deep learning to analyse the skin of the user and provides a personalized set of anti-acne medications. This personalized combination of FDA-cleared medicated acne cleansers, acne treatment creams and moisturizers are customized to the user’s skin type and acne severity. Furthermore, this app provides acne information and tips, automatic “selfie”-based improvement monitoring and unlimited chat support with a dermatologist. The treatment suggestions adhere to the recent acne treatment guidelines of the American Academy of Dermatology [2]. Users with severe acne or moderate acne who do not respond to 3 months of topical treatment are referred to their local dermatologist for oral treatment.

Authors and Affiliations

Yoram Harth

Keywords

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  • EP ID EP588498
  • DOI 10.26717/BJSTR.2018.06.001422
  • Views 152
  • Downloads 0

How To Cite

Yoram Harth (2018). Deep Learning-Based Acne Apps Can Solve the Problem of Ineffective Office Consultations. Biomedical Journal of Scientific & Technical Research (BJSTR), 6(5), 5559-5560. https://europub.co.uk/articles/-A-588498