Medical personnels knowledge and perception towards the Artificial Intelligence application in medicine
N. Jojua
, T. Gognadze
, L. Dolidze
Резюме: Objective: The objective of this study was to assess the knowledge, perceptions, and attitudes of medical personnel in Georgia regarding the use of Artificial Intelligence (AI) in medicine. Materials and Methods: An online questionnaire was designed and distributed among healthcare professionals, collecting data on demographics, AI awareness, ethical and legal knowledge, and perceptions of AI’s potential impact in healthcare. Participants were informed about the purpose of the study. The process was anonymized and carried out online. Results: Of the fifty-six respondents, 55.4% reported having some knowledge of AI, while 44.6% lacked information on AI’s legal aspects, and 39.3% were unaware of ethical considerations. Most participants (65%) acknowledged AI’s importance in advancing medicine, yet there was resistance to the idea of AI replacing medical specialists. Respondents identified Radiology (64.8%), Surgery (48.1%), and Histopathology (38.9%) as key fields for AI applications. Additionally, 81.1% had not received formal AI training, though 89.1% expressed interest in a certification course, and 92.7% were interested in attending lectures on AI. Discussion: This study shows that while Georgian healthcare professionals see potential in AI for advancing medical fields, there are notable knowledge gaps, particularly around ethical and legal issues. Conclusion: The study highlights the strong interest and need for targeted education to support AI integration in clinical practice.
Series on Biomechanics, Vol.38, No.4(2024), 140-150
DOI: 10.7546/SB.19.04.2024
Ключови думи: AI teaching; Artificial Intelligence (AI); attitude to AI; medicine
Литература: (click to open/close) | [1] Jiang L, Wu Z, Xu X, Zhan Y, Jin X, Wang L, Qiu Y., 2021. Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. J Int Med Res. 2021 Mar; 49,3,3000605211000157. doi: 10.1177/03000605211000157. PMID: 33771068; PMCID: PMC8165857. [2] Diaz-Flores E, Meyer T, Giorkallos A., 2022. Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare. Adv Biochem Eng Biotechnol., 182, 23-60. doi: 10.1007/10_2021_189. PMID: 35262750. [3] Bohr A, Memarzadeh K., 2020. The rise of artificial intelligence in healthcare applications. Artificial Intelligence in Healthcare. 2020:25–60. doi: 10.1016/B978-0-12-818438-7.00002-2. Epub 2020 Jun 26. PMCID: PMC7325854. [4] Lee WT., 2024. Artificial Intelligence in Medicine: A Caution About Good Intentions and Where It May Lead. Otolaryngol Head Neck Surg. 2024 Jun;170, 6,1605-1606. doi: 10.1002/ohn.658. Epub 2024 Jan 25. PMID: 38270270; PMCID: PMC11141720. [5] Steerling E, Siira E, Nilsen P, Svedberg P, Nygren J., 2023. Implementing AI in healthcare-the relevance of trust: a scoping review. Front Health Serv. 2023 Aug 24, 3:1211150. doi: 10.3389/frhs.2023.1211150. PMID: 37693234; PMCID: PMC10484529. [6] Kiškis M., 2023. Legal framework for the coexistence of humans and conscious AI. Front Artif Intell. 2023 Sep 20;6, 1205465. doi: 10.3389/frai.2023.1205465. PMID: 37808620; PMCID: PMC10552864. [7] Weidener L, Fischer M., 2023. Teaching AI Ethics in Medical Education: A Scoping Review of Current Literature and Practices. Perspect Med Educ. 2023 Oct 16;12, 1,399-410. doi: 10.5334/pme.954. PMID: 37868075; PMCID: PMC10588522. [8] Holzner D, Apfelbacher T, Rödle W, Schüttler C, Prokosch HU, Mikolajczyk R, Negash S, Kartschmit N, Manuilova I, Buch C, Gundlack J, Christoph J., 2022. Attitudes and Acceptance Towards Artificial Intelligence in Medical Care. Stud Health Technol Inform. 2022 May 25, 294:68-72. doi: 10.3233/SHTI220398. PMID: 35612018. [9] Buck C, Doctor E, Hennrich J, Jöhnk J, Eymann T., 2022. General Practitioners' Attitudes Toward Artificial Intelligence-Enabled Systems: Interview Study. J Med Internet Res. 2022 Jan 27; 24, 1:e28916. doi: 10.2196/28916. PMID: 35084342; PMCID: PMC8832268. [10] Hamedani Z, Moradi M, Kalroozi F, Manafi Anari A, Jalalifar E, Ansari A, Aski BH, Nezamzadeh M, Karim B., 2023.Evaluation of acceptance, attitude, and knowledge towards artificial intelligence and its application from the point of view of physicians and nurses: A provincial survey study in Iran: A cross-sectional descriptive-analytical study. Health Sci Rep. 2023 Sep 4;6, 9,:e1543. doi: 10.1002/hsr2.1543. PMID: 37674620; PMCID: PMC10477406. [11] Försch S, Klauschen F, Hufnagl P, Roth W., 2021. Artificial Intelligence in Pathology. Dtsch Arztebl Int. 2021 Mar 26;118, 12, 94-204. doi: 10.3238/arztebl.m2021.0011. PMID: 34024323; PMCID: PMC8278129. [12] Acs B, Rantalainen M, Hartman J., 2020. Artificial intelligence as the next step towards precision pathology. J Intern Med. 2020 Jul;288, 1,62-81. doi: 10.1111/joim.13030. Epub 2020 Mar 3. PMID: 32128929. [13] van Leeuwen KG, de Rooij M, Schalekamp S, van Ginneken B, Rutten MJCM., 2022. How does artificial intelligence in radiology improve efficiency and health outcomes? Pediatr Radiol. 2022 Oct;52, 11, 2087-2093. doi: 10.1007/s00247-021-05114-8. Epub 2021 Jun 12. PMID: 34117522; PMCID: PMC9537124. [14] Powling AS, Lisacek-Kiosoglous AB, Fontalis A, Mazomenos E, Haddad FS., 2023. Unveiling the potential of artificial intelligence in orthopaedic surgery. Br J Hosp Med (Lond). 2023 Dec 2;84, 12, 1-5. doi: 10.12968/hmed.2023.0258. Epub 2023 Dec 4. PMID: 38153019. [15] Vaish A, Migliorini F, Vaishya R., 2023. Artificial intelligence in foot and ankle surgery: current concepts. Orthopadie (Heidelb). 2023 Dec;52, 12, 1011-1016. doi: 10.1007/s00132-023-04426-x. Epub 2023 Aug 25. PMID: 37626240; PMCID: PMC10692015. [16] Waqas A, Bui MM, Glassy EF, El Naqa I, Borkowski P, Borkowski AA, Rasool G., 2023. Revolutionizing Digital Pathology with the Power of Generative Artificial Intelligence and Foundation Models. Lab Invest. 2023 Nov;103,11,100255. doi: 10.1016/j.labinv.2023.100255. Epub 2023 Sep 26. PMID: 37757969. [17] Zhang C, Xu J, Tang R, Yang J, Wang W, Yu X, Shi S., 2023. Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment. J Hematol Oncol. 2023 Nov 27;16, 1, 114. doi: 10.1186/s13045-023-01514-5. PMID: 38012673; PMCID: PMC10680201. [18] Giorgini F, Di Dalmazi G, Diciotti S., 2024. Artificial intelligence in endocrinology: a comprehensive review. J Endocrinol Invest. 2024 May;47, 5,1067-1082. doi: 10.1007/s40618-023-02235-9. Epub 2023 Nov 16. PMID: 37971630; PMCID: PMC11035463. [19] Feng X, Xu K, Luo MJ, Chen H, Yang Y, He Q, Song C, Li R, Wu Y, Wang H, Tham YC, Ting DSW, Lin H, Wong TY, Lam DS., 2024. Latest developments of generative artificial intelligence and applications in ophthalmology. Asia Pac J Ophthalmol (Phila). 2024 Jul-Aug;13, 4, 100090. doi: 10.1016/j.apjo.2024.100090. Epub 2024 Aug 14. PMID: 39128549. [20] Lopes S, Rocha G, Guimarães-Pereira L., 2024. Artificial intelligence and its clinical application in Anesthesiology: a systematic review. J Clin Monit Comput. 2024 Apr;38, 2, 247-259. doi: 10.1007/s10877-023-01088-0. Epub 2023 Oct 21. PMID: 37864754; PMCID: PMC10995017. [21] Jojua N, Gognadze T, Dolidze L., 2024. Evaluation of Medical Doctor program Students general knowledge and perception towards the use of Artificial Intelligence in Medicine, Series on Biomechanics, 2024, 38, 1, 63-70, doi: 10.7546/SB.07.01.2024.
|
|
| Дата на публикуване: 2024-12-11
(Price of one pdf file: 39.00 BGN/20.00 EUR)