Comparison analysis of AIbased smartphone applications for selfexamination of skin cancer risk

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Abstract

A comparative analysis of 3 AI-based smartphone applications for self-service skin cancer risk assessment: ProRodinki, Skinive and Skin Vision. Analysis consists of description of applications and its ways of work, and results, such as sensitivity and specificity, done on the base of the practical experiment conducted with processing 516 images of the skin neoplasms and pathologies confirmed by histological research via each app. Every application is unique and differs from each other by its principles or work, algorithms, user experience and design, and of course AI model and the set of input data that is analyzed by neural networks. Current research and practical experiment were made with focus on images processing and the app risk assessment for each of the image, other details and mole prescription information were set neutral. This leads to a conclusion that there is a lack of methodology for testing and analysis of different AI-based applications and services. Having such methodology, the comparison analysis results can be more objective and transparent.

About the authors

Stepan S. Korotkiy

RUDN University

Author for correspondence.
Email: skorotkiy@gmail.com
ORCID iD: 0009-0004-4613-970X

Graduate student, Department of Mechanics and Control Processes, Academy of Engineering

Moscow, Russian Federation

Olga A. Saltykova

RUDN University

Email: saltykova-oa@rudn.ru
ORCID iD: 0000-0002-3880-6662

Ph.D. of Physico-Mathematical Sciences, Associate Professor of the Department of Mechanics and Control Processes, Academy of Engineering

Moscow, Russian Federation

Andrey O. Ukharov

Moscow State Technical University n.a. Bauman

Email: oukharov@gmail.com
ORCID iD: 0000-0003-3490-3657

Ph.D. of Technical Sciences, Researcher

Moscow, Russian Federation

Irena L. Shlivko

Privolzhsky Research Medical University

Email: irshlivko@gmail.com
ORCID iD: 0000-0001-7253-7091

D. Sci. (Med.), Assoc. Prof.

Nizhny Novgorod, Russian Federation

Irina A. Klemenova

Privolzhsky Research Medical University

Email: iklemenova@mail.ru
ORCID iD: 0000-0003-1042-8425

D. Sci. (Med.), Prof.

Nizhny Novgorod, Russian Federation

Oxana E. Garanina

Privolzhsky Research Medical University

Email: oksanachekalkina@yandex.ru
ORCID iD: 0000-0002-7326-7553

Ph.D. of Medical Sciences, Assoc. Prof.

Nizhny Novgorod, Russian Federation

Kseniia A. Uskova

Privolzhsky Research Medical University

Email: k_balyasova@bk.ru
ORCID iD: 0000-0002-1000-9848

Assistant

Nizhny Novgorod, Russian Federation

Anna M. Myronycheva

Privolzhsky Research Medical University

Email: mironychevann@gmail.com
ORCID iD: 0000-0002-7535-3025

Assistant

Nizhny Novgorod, Russian Federation

Yana L. Stepanova

Privolzhsky Research Medical University

Email: stepanova.ya09@yandex.ru
ORCID iD: 0009-0004-9228-7770

Assistant

Nizhny Novgorod, Russian Federation

References

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