INFORMATION SUPPORT FOR THE DECISION-MAKING PROCESS IN THE TREATMENT OF PATIENTS WITH CRITICAL LOWER LIMB ISCHEMIA

University named after M. Gorky”

About the authors

University named after M. Gorky”

Селякова Светлана Михайловна – к.т.н. доцент, доцент кафедры вычислительной техники, Федеральное государственное бюджетное образовательное учреждение высшего образования «Волгоградский государственный технический университет», г. Волгоград. Область научных интересов: интеллектуальное управление систем, теория принятия решений, медицинские экспертные системы. адрес: 400005, г. Волгоград, проспект им. В.И. Ленина, д. 28.

Ниценко Артём Владимирович – к.т.н. старший научный сотрудник отдела распознавания речевых образов, Федеральное госуд арственное бюджетное научное учреждение «Институт проблем искусственного интеллекта», г. Донецк. Область научных интересов: искусственный интеллект, обработка естественного языка, компьютерная лингвистика. адрес: 283048, г. Донецк, ул. Артема, д. 118 б.

Наира Кареновна – д.м.н. доцент, профессор кафедры сердечно - сосудистой хирургии, Федеральное государственное бюджетное образовательное уч- реждение высшего образования «Донецкий государственный медицинский университет имени М. Горького», г. Донецк. Область научных интересов: сердечно -сосудистая хирургия, проктология, медицинские экспертные системы. naira-, адрес: 283003, г. Донецк, проспект Ильича, д. 16.

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UDC: 004.89+616.1
DOI: 10.24412/2413-7383-2025-3-38-19-33
Language: Russian

Abstract: This article presents the development of the "AngioExpert" decision support system (DSS), aimed at improving the efficacy of treatment for patients with critical limb ischemia (CLI). The system facilitates optimization of surgical management strategies and mitigates risks associated with postoperative complications and mortality. The paper details the system's core functionality, overall architecture, functional model, and key user interface components. It further examines the specific clinical decision-making tasks addressed by the system's algorithms.

Keywords: clinical decision support, decision support system (DSS), vascular surgery, critical limb ischemia (CLI).

References

1. Belov Yu.V. Prediction of the results of revascularizing operations on the arteries of the lower extremities based on methods for assessing regional blood flow / Yu.V. Belov, O.A. Vinogradov, N.D. Ulyanov, A.N. Dzyunzya // Cardiology and cardiovascular surgery – 2014. – № 7 (5) – P. 62-67.
2. National recommendations for the diagnosis and treatment of diseases of the arteries of the lower limbs with the chairmen of the expert group: Bokeria L.A. Pokrovsky A.V. – M. 2019. – 89 p. Информационная поддержка процесса принятия решений при лечении больных… 1С
3. Ho V.T. Open, percutaneous and hybrid deep venous arterialization technique for no-option foot salvage / V.T. Ho, R. Gologorsky, V. Chandra, A. Prent, J. Lee, A. Dua // J. Vasc. Surg. – 2019. – N 31. – P. S0741- 5214(19)32636-9.
4. Kalinin R.E. Ischemic diseases in the practice of a family doctor / R.E. Kalinin [et al.]. – M.: GEOTAR, 2016. – 296 p.
5. Kamma A.D. Heart and blood vessels: the leadership of the European Society of Cardiologists: Per. from English. /Ed.: A.D. Camma, T.F. Lushera, P.V. Serruis. – M.: GEOTAR-MEDIA, 2011. – 1437 p.
6. Zatevakhin I.I. Boundry angioplasty for ischemia of the lower limbs: Guide / I.I. Zatevakhin, V.N. Shipovsky, V.N. Zolkin. – M.: Medicine, 2004. – 256 p.
7. Smolin D.V. Introduction to artificial intelligence. – M.: Fizatlit, 2004. – 208 p.
8. Kononenko W. Machine leaning for medical diagnosis: history, state of the art and perspective // Artificial Intelligence in Medicine. – Ljubjana, 2001. – P. 89-109.
9. Levin V.I. D.A. Pospelov and the development of artificial intelligence in the USSR / Problems of artificial intelligence. – 2021. – № 2 (21) – P. 59-64.
10. Baker A.A. Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis / А. Baker, Y. Perov, K. Middleton, et al. // Front Artif Intell. – 2020. – №3 – P. 543405.
11. Chambers D. Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review / D. Chambers, A.J. Cantrell, M. Johnson, et al. // BMJ Open. – 2019. – №9(8) P. e027743.
12. Antsyferov S.S. Methodology for the development of intellectual systems / S.S. Antsyferov, A.S. Sigov, K.N. Fazilova // Problems of artificial intelligence. – 2022. – №2(25) – P. 42-47.
13. Ermolenko T.V. Classification of heartbeat anomalies using deep learning / T.V. Ermolenko, D.V. Roller // Problems of artificial intelligence – 2022. – № 1 (24) – P. 40-53.
14. Timofeev А. The Future of our Society and Technical Thinking Systems / Problems of Artificial Intelligence. – 2020. – №1(16) – P. 16-22.
15. Aboueid S. The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review / S. Aboueid, R.H. Liu, B.N. Desta, A. Chaurasia, S. Ebrahim // JMIR Med Inform. – 2019. – №7(2) – P. e13445.
16. Semigran H.L. Evaluation of symptom checkers for self diagnosis and triage: audit study / H.L. Semigran, J.A. Linder, C. Gidengil, A. Mehrotra // Br Med J. – 2015. – №351. – P. h3480.
17. Millenson M.L. Beyond Dr Google: the evidence on consumer-facing digital tools for diagnosis. / M.L. Millenson, J.L. Baldwin, L. Zipperer, H. Singh // Diagnosis (Berl). – 2018. – №5(3). – P. 95-105.
18. Fraser H. Safety of patient-facing digital symptom checkers / H. Fraser, E. Coiera, D. Wong // Lancet 2018. – №392(10161). – P. 2263-2264.
19. M.V. Minkovsky Expansion of the introduction of digitalization and means of artificial intelligence in the Russian economy / Problems of artificial intelligence. – 2024. – №1(32) – P. 75-93.
20. Gavrilenko A.V. Profundoplasty in the treatment of patients with chronic ischemia of the lower extremities / A.V. Gavrilenko, N.N. Al-Yuseph, Van Xiaochen, N.M. Mamedova, M.V. Ananieva, Lee Zhui // Angiology and vascular surgery. – 2019. – №25(3) – P. 122-127.
21. Van Xiaochen Predicting the results of surgical treatment of patients with chronic ischemia of the lower extremities, 01.14.26 - cardiovascular surgery / dissertation for the degree of candidate of medical sciences. – M. 2020. – 24 p.
22. Khaozhan E. Predicting the results of surgical treatment of patients with critical ischemia of the lower extremities, in patients with diabetes, 3.1.15 - cardiovascular surgery / dissertation for the scientific degree of candidate of medical sciences. – M. 2023. – 24 p.
23. Gavrilenko A.V. Features of the treatment of patients with CILE in diabetes mellitus / A.V. Gavrilenko, E. Haozhan, Ya.M. Sarkhanidze // Clinical medicine. Series: Natural and Technical Sciences. – 2023. – №1 – P. 179-182.
24. Frolov S.V. Systems for supporting medical solutions in medicine / S.V. Frolov, A.Yu. Kulikov, O.A.

Issue: 3(38)'2025
Section: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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