Make Knowledge Veritable, Visible and Valuable.

AI image-based diagnosis systems: how to implement them?

Maria Ablameyko 1 , Sergey Ablameyko 2

  • 1. Associate professor of Law Faculty, PhD in Law, Belarussian State University, Nezavisimosti av., 4, Minsk, 220030, Belarus
  • 2. Academician, Professor of Mechanics-Mathematical Faculty, DSc in Computer Science Belarusian State University, Nezavisimosti av., 4, Minsk, 220030, Belarus



  • Received

    17 November 2022

  • Revised

    26 December 2022

  • Accepted

    21 February 2023

  • Published

    20 June 2023

AI for diagnosis Medical image analysis Medical law Doctor-AI relationship

Show More




[1]M.Ablameyko, N,Shakel, Dao Van Tuyet. Artificial intelligence in smart healthcare: legal aspects. Ho Chi Minh City, Vietnam, Thanh Nien Publishing House. 2021, p.174.

[2]Victor Chang, Yi Cao, Taiyu Li, Yujie Shi and Patricia Baudier. Smart Healthcare and Ethical Issues. In International Conference on Finance, Economics, Management and IT Business. 2019, p.53-59. doi: 10.5220/0007737200530059.

[3]Cindy Candrian, Anne Scherer, Rise of the machines: Delegating decisions to autonomous AI. Computers in Human Behavior. 2022; 134, 107308, Available from:

[4]Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento, Breast Screening-AI: Evaluating medical intelligent agents for human-AI interactions. Artificial Intelligence in Medicine. 2022; 127. Available from:

[5]A.J. London, Artificial intelligence and black-box medical decisions: accuracy versus explainability. The Hastings Center Report. 2019; 49, 15-21. doi: 10.1002/hast.973.

[6]Sarwar, S., Dent, A., Faust, K. et al. Physician perspectives on integration of artificial intelligence into diagnostic pathology. Digital. Medicine. 2019; 28(2).

[7]Paul Formosa, Wendy Rogers, Yannick Griep, Sarah Bankins, Deborah Richards, Medical AI and human dignity: Contrasting perceptions of human and artificially intelligent (AI) decision making in diagnostic and medical resource allocation contexts. Computers in Human Behavior. 2022; 133.

[8]Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento. Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification. International Journal of Human-Computer Studies. 2021; 150.

[9]Yogesh Kumar, Apeksha Koul, Ruchi Singla, and Muhammad Fazal Ijaz. Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. Journal of Ambient Intelligence and Humanized Computing. 2022; 1-28. doi: 10.1007/s12652-021-03612-z.

[10]X. Liu, et al. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digital Health. 2019; 1; 271-297. doi:

[11]China: AI medical imaging industry market size 2018-2022. Statistics Available online: (accessed on Jun 15, 2021).

[12]Overview of Russian Artificial Intelligence Systems for Healthcare. Available from:

[13]Stands in the field of artificial intelligence in healthcare. Available from: [Accessed 19th December 2022].

[14]Yoon, H.J.; Jeong, Y.J.; Kang, H.; Jeong, J.E.; Kang, D.-Y. Medical Image Analysis Using Artificial Intelligence. Progress in Medical Physics. 2019; 30(2) 49-58. doi:10.14316/pmp.2019.30.2.49.

[15]Artificial intelligence in medicine: areas, technologies and prospects. Available from: [Accessed 19th December 2022].

[16]Jiang, Y.; Yang, M.; Wang, S.; Li, X.; Sun, Y. Emerging role of deep learning-based artificial intelligence in tumour pathology. Cancer Communications. 2020; 40, 154-166. doi:

[17]Ablameyko S., Nedzved A., Belotserkovsky A. Computer systems of histology image analysis in Belarus. Annual Proceeding of Medical Science. Bialystok, Poland, 2005; 50(2). 23-26.

[18]Nedzved, A. M., Ablameyko, S. V, Nalibotsky, B.V., Ilyich, Yu. G. System of analysis of medical images of histological objects. Pattern Recognition and Image Analysis. 2001; 11(4), 732-742.

[19]I. B. Gurevich, V. V. Yashina, S. V. Ablameyko, A. M. Nedzved, A. M. Ospanov, A.T. Tleubaev, A. A. Fedorov, and N. A. Fedoruk. Development and Experimental Investigation of Mathematical Methods for Automating the Diagnostics and Analysis of Ophthalmological Images. Pattern Recognition and Image Analysis. 2018; 28(4), 756-780. doi:

[20]Shiping Ye, Alexander Nedzvedz, Fangfang Ye, Sergey Ablameyko. Segmentation and feature extraction of endoscopic images for making diagnosis of acute appendicitis. Pattern Recognition and Image Analysis. 2019; 29(4),738-749. doi:

[21]Chen, H., Nedzvedz, O.V., Ye, S. Nedzvedz A.M., Ablameyko S.V. Сell Population Dynamics Monitoring in Video Based on Integral Optical Flow and Motion Maps. Journal of Applied Spectroscopy. 2020; 87(5), 853-864. doi:

[22]H. Chen, O.Nedzvedz, S.Ye, A.Nedzvedz, S.Ablameyko. Wound Healing Monitoring by Video Sequence Using Integral Optical Flow. Journal of Applied Spectroscopy. 2019; 86(3), 435-442. doi:

[23]Huang S, Yang J, Fong S, Zhao F. Artificial intelligence in cancer diagnosis and prognosis. Cancer Letters. 2020;471:61-71. doi: 10.1016/j.canlet.2019.12.007.

[24]CEPEJ European Ethical Charter on the use of artificial intelligence (AI) in judicial systems and their environment. [Accessed 19th December 2022].

[25]National standard of the Russian Federation. Artificial Intelligence systems in clinical medicine [Accessed 19th December 2022].

[26]Applying ethical principles for artificial intelligence and autonomous systems in regulatory reform. Singapore Academy of Law, Law Reform Committee; edited by Simon Constantine.

[27]Charles Kerrgan. Artificial Intelligence. Law and Regulation. Edward Elgar Publishing, doi:

[28]M. Ablameyko, N. Shakel. Doctor-Patient-Artificial Intelligence Relations in Smart Healthcare. Biomedical Journal of Science & Technology Research. 2022; 44(5). doi: 10.26717/BJSTR.2022.44.007128.

[29]Molnár-Gabor. Artificial Intelligence in Healthcare: Doctors, Patients and Liabilities, in Wischmeyer, Rademacher (eds). Regulating Artificial Intelligence. 2020; 337. doi:10.1007/978-3-030-32361-5_15

[30]Sherlock in Health. How artificial may improve quality and efficient, whilst reducing healthcare costs in Europe. 2017.

[31]H.van Kolfschooten. EU Regulation of Artificial Intelligence: Challenges for patients’ rights. Common Market Law Review. 2022; 59(1), 81-112. doi:

How to Cite

Maria, A., and S. Ablameyko. “AI Image-Based Diagnosis Systems: How to Implement Them?”. Journal of Digital Health, vol. 2, no. 1, June 2023, pp. 12-21, doi:10.55976/jdh.22023113912-21.

Scan QR code to follow us by Wechat


Luminescience press is based in Hong Kong with offices in Wuhan and Xi'an, China.


鄂公网安备 42018502004928号 网站备案号:鄂ICP备2020021880号-1 Copyright © 2021 Luminescience Press. All rights reserved.