VEŠTAČKA INTELIGENCIJA U OPŠTOJ MEDICINI – IZAZOVI I POTENCIJALNI RIZICI

  • Suncica Stankov Dom zdravlja Novi Sad
Ključne reči: veštačka inteligencija, opšta medicina, odnos lekar-pacijent, personalizovana medicina

Sažetak


Veštačka inteligencija ima značajnu ulogu u oblasti primarne zdravstvene zaštite i njena primena je sve zastupljenija. Lekarima opšte medicine veštačka inteligencija pomaže na više nivoa, u kvalitetnom postavljanju dijagnoze i planiranju terapije, a obradom velikog broja podataka u obezbeđivanju više vremena za sprovođenje sofisticiranih zadataka. Uprkos brojnim prednostima, smatra se da veštačka inteligencija može negativno uticati na relaciju lekar-pacijent. Veštačka inteligencija u opštoj medicini predstavlja značajnu komponentu u daljem razvoju personalizovane medicine i individualnih pristupa lečenja i kvalitetnoj zdravstvenoj zaštiti pacijenata.

Biografija autora

Suncica Stankov, Dom zdravlja Novi Sad

Reference

1. Bindra S, Jain R. Artificial intelligence in medical science: a review. Ir J Med Sci, 2024;193,1419–29.
2. Gou F et al. Research on Artificial-Intelligence Assisted Medicine: A Survey on Medical Artificial Intelligence. Diagnostics 2024;14,1472. Available at: https://doi.org/10.3390/diagnostics14141472
3. Phillips S.P, Spithoff S, Simpson A. Artificial intelligence and predictive algorithms in medicine, Can Fam Physician 2022;68:570-2.
4. Mikkelsen J.G. et al. Patient perspectives on data sharing regarding implementing and using artificial intelligence in general practice – a qualitative study. BMC Health Services Research 2023;23:335. Available at: https://doi.org/10.1186/s12913-023-09324-8
5. Zhang Z et al. Application of artificial intelligence in the MRI classification task of human brain neurological and psychiatric diseases: a scoping review. Diagnostics (Basel) 2021;11:1402.
6. Currie G et al. Machine learning and deep learning in medical imaging: intelligent imaging. J Med Imaging Radiat Sci 2019,50:477-87.
7. Sørensen Nlet al. Machine learning in general practice: scoping review of administrative task support and automation. BMC Prim Care. 2023;24(1):14. Available at: https://doi.org/10.1186/s12875-023-01969-y
8. Lin SY, Mahoney MR, Sinsky CA. Ten ways artificial intelligence will transform primary care. J Gen Intern Med. 2019;34(8):1626-30.
9. Buck C. et al. General Practitioners’ Attitudes Toward Artificial Intelligence-Enabled systems: Interview Study
J.Med. Internet. Res 2022;24(1):e28916. Available at: doi: 10.2196/28916
10. Summerton N, Cansdale M. Artificial intelligence and diagnosis in general practice. Br J Gen Pract. 2019;69(684):324-5.
11. Sarkar U, Bates DW. Using Artificial Intelligence to Improve Primary Care for Patients and Clinicians. JAMA Intern Med. 2024;184(4):343–4.
12. Liyanage H.et al. Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges. Yearb Med Inform 2019;28(1):41–6.
13. Kaul V et al. History of artificial intelligence in medicine. Gastrointest Endosc 2020;92:807-12.
14. Hirani R et al. Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities. Life. 2024; 14(5):557. Available at: https://doi.org/10.3390/life14050557
15. Lin DJ, Johnson PM, Knoll F, Lui YW. Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians. J Magn Reson Imaging. 2021;53(4):1015-28.
16. Toma M, Wei OC. Predictive Modeling in Medicine. Encyclopedia. 2023; 3(2):590-601.
17. Kaymakçı V et al. The role and future of artificial intelligence in primary care. Jour Turk Fam Phy 2024; 15(1):26-37.
18. Dai YX, Ge JB. Artificial intelligence in medical practice: current status and future perspectives. Cardiol Plus 2023;8:1–3.
19. Karalis, VD. The Integration of Artificial Intelligence into Clinical Practice. Appl. Biosci. 2024;3: 14–44.
20. Akingbola A et al. Artificial Intelligence and the Dehumanization of Patient Care, Journal of Medicine, Surgery, and Public Health 2024; 3:100138. Available at: https://doi.org/10.1016/j.glmedi.2024.100138
21. Huisman M, Joye S, Biltereyst, D. Searching for Health: Doctor Google and the Shifting Dynamics of the Middle-Aged and Older Adult Patient–Physician Relationship and Interaction. Journal of Aging and Health 2020;32(9),998-1007.
22. Allen M.R. et al.. Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care. BMC Prim Care. 2024;25(1):42. Available at: https://doi.org/10.1186/s12875-024-02282-y
23. Taherdoost H, Ghofrani A, AI's role in revolutionizing personalized medicine by reshaping pharmacogenomics and drug therapy. Intelligent Pharmacy 2024;5(2):643-50.
24. Sauerbrei, A et al. The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions. BMC Medical Informatics and Decision Making 2023;23:73. Available at: https://doi.org/10.1186/s12911-023-02162-y
25. Parekh AE et al. Artificial intelligence (AI) in personalized medicine: AI-generated personalized therapy regimens based on genetic and medical history: short communication. Ann Med Surg 2023;5(11):5831-33.
Objavljeno
2026/02/16
Rubrika
Pregledni članak