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Karbalaei-Musa, Hamid Reza, Khorshid Sokhangouy, Amirhossein, Gerami, Reza, Hassani Moghaddam, Meysam. (1404). Application of Artificial Intelligence in Medical Sciences, Healthcare, and Treatment: A Human-Centered Perspective. سامانه مدیریت نشریات علمی, (), -. doi: 10.30476/ijvlms.2025.106156.1332
Hamid Reza Karbalaei-Musa; Amirhossein Khorshid Sokhangouy; Reza Gerami; Meysam Hassani Moghaddam. "Application of Artificial Intelligence in Medical Sciences, Healthcare, and Treatment: A Human-Centered Perspective". سامانه مدیریت نشریات علمی, , , 1404, -. doi: 10.30476/ijvlms.2025.106156.1332
Karbalaei-Musa, Hamid Reza, Khorshid Sokhangouy, Amirhossein, Gerami, Reza, Hassani Moghaddam, Meysam. (1404). 'Application of Artificial Intelligence in Medical Sciences, Healthcare, and Treatment: A Human-Centered Perspective', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.30476/ijvlms.2025.106156.1332
Karbalaei-Musa, Hamid Reza, Khorshid Sokhangouy, Amirhossein, Gerami, Reza, Hassani Moghaddam, Meysam. Application of Artificial Intelligence in Medical Sciences, Healthcare, and Treatment: A Human-Centered Perspective. سامانه مدیریت نشریات علمی, 1404; (): -. doi: 10.30476/ijvlms.2025.106156.1332

Application of Artificial Intelligence in Medical Sciences, Healthcare, and Treatment: A Human-Centered Perspective

Interdisciplinary Journal of Virtual Learning in Medical Sciences
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 08 دی 1404    اصل مقاله (402.96 K)
نوع مقاله: Perspective
شناسه دیجیتال (DOI): 10.30476/ijvlms.2025.106156.1332
نویسندگان
Hamid Reza Karbalaei-Musa1؛ Amirhossein Khorshid Sokhangouy2؛ Reza Gerami3؛ Meysam Hassani Moghaddam* 4
1Department of Internal Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
2Department of Veterinary Medicine, Islamic Azad University, Karaj Branch, Iran
3Department of Radiology, Faculty of Medicine, AJA University of Medical Science, Tehran, Iran
4Department of Anatomical Sciences, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran
چکیده
Artificial Intelligence (AI) is a discipline within computer science that utilizes large datasets to simulate human intelligence, thereby supporting healthcare professionals and students in achieving more effective training and treatment outcomes. This article examines the application of AI in the medical sciences, healthcare, and treatment across six sections, investigating both the achievements and limitations of AI. The growing integration of AI into medical sciences has led to notable progress in medical education, patient care, and clinical practice. Increasing students' practical skills, easier access to large amounts of data, faster diagnosis, personalized treatment, and smarter care are among the benefits of using AI, which justifies the increasing use of this technology. Today, the benefits of AI in medical education are widely acknowledged. One of the key advantages is making the learning process more understandable for learners from an academic perspective and being recognized as a major transformation in medical education. The use of AI has always been accompanied by challenges. However, despite these challenges, AI has a promising future in education and healthcare, provided that its implementation is guided by human-centered design, ethical oversight, and appropriate governance structures. This Perspective emphasizes the interconnected nature of AI use across medical education, clinical practice, and healthcare systems, and argues that AI should be positioned as a supportive rather than autonomous force in medicine. Its progress depends on stronger interdisciplinary collaboration between computer scientists and medical researchers to identify and address key challenges and to implement effective data-driven approaches to achieve this aim.

تازه های تحقیق

Hamid Reza Karbalaei-Musa (Google Scholar)

Meysam Hassani Moghaddam (Google Scholar)

کلیدواژه‌ها
Artificial Intelligence؛ Medicine؛ Treatment؛ Therapeutics؛ Education؛ Delivery of Health Care
مراجع
  1. Bindra S, Jain R. Artificial intelligence in medical science: a review. Ir J Med Sci. 2024;193(3):1419-1429. doi: 10.1007/s11845-023-03570-9. PubMed PMID: 37952245.
  2. Mainali G. Artificial Intelligence in Medical Science: Perspective from a Medical Student. JNMA J Nepal Med Assoc. 2020;58(229):709-711. doi: 10.31729/jnma.5257. PubMed PMID: 33068098; PubMed Central PMCID: PMC7580331.
  3. Zuhair V, Babar A, Ali R, Oduoye MO, Noor Z, Chris K, et al. Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations. J Prim Care Community Health. 2024;15:21501319241245847. doi: 10.1177/21501319241245847. PubMed PMID: 38605668; PubMed Central PMCID: MCPMC11010755.
  4. Sun L, Yin C, Xu Q, Zhao W. Artificial intelligence for healthcare and medical education: a systematic review. Am J Transl Res. 2023;15(7):4820-8. PubMed PMID: 37560249; PubMed Central PMCID: MCPMC10408516.
  5. Sharma A, Al-Haidose A, Al-Asmakh M, Abdallah AM. Integrating Artificial Intelligence into Biomedical Science Curricula: Advancing Healthcare Education. Clin Pract. 2024;14(4):1391-403. doi: 10.3390/clinpract14040112. PubMed PMID: 39051306; PubMed Central PMCID: MCPMC11270210.
  6. Ng FYC, Thirunavukarasu AJ, Cheng H, Tan TF, Gutierrez L, Lan Y, et al. Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers. Cell Rep Med. 2023;4(10):101230. doi: 10.1016/j.xcrm.2023.101230. PubMed PMID: 37852174; PubMed Central PMCID: MCPMC10591047.
  7. Krajcer Z. Artificial Intelligence for Education, Proctoring, and Credentialing in Cardiovascular Medicine. Tex Heart Inst J. 2022;49(2). doi: 10.14503/THIJ-21-7572. PubMed PMID: 35481865; PubMed Central PMCID: MCPMC9053661.
  8. Zarei M, Eftekhari Mamaghani H, Abbasi A, Hosseini M-S. Application of artificial intelligence in medical education: A review of benefits, challenges, and solutions. Medicina Clínica Práctica. 2024;7(2):100422. doi: 10.1016/j.mcpsp.2023.100422.
  9. Singh A, Paruthy SB, Belsariya V, Chandra JN, Singh SK, Manivasagam SS, et al. Revolutionizing Breast Healthcare: Harnessing the Role of Artificial Intelligence. Cureus. 2023;15(12):e50203. doi: 10.7759/cureus.50203. PubMed PMID: 38192969; PubMed Central PMCID: MCPMC10772314.
  10. Polonia A, Campelos S, Ribeiro A, Aymore I, Pinto D, Biskup-Fruzynska M, et al. Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions. Am J Clin Pathol. 2021;155(4):527-36. doi: 10.1093/ajcp/aqaa151. PubMed PMID: 33118594.
  11. Yang X. Application and Prospects of Artificial Intelligence Technology in Early Screening of Chronic Obstructive Pulmonary Disease at Primary Healthcare Institutions in China. Int J Chron Obstruct Pulmon Dis. 2024;19:1061-7. doi: 10.2147/COPD.S458935. PubMed PMID: 38765765; PubMed Central PMCID: MCPMC11102166.
  12. Kozel G, Gurses ME, Gecici NN, Gökalp E, Bahadir S, Merenzon MA, Shah AH, Komotar RJ, Ivan ME. Chat-GPT on brain tumors: An examination of Artificial Intelligence/Machine Learning's ability to provide diagnoses and treatment plans for example neuro-oncology cases. Clin Neurol Neurosurg. 2024;239:108238. doi: 10.1016/j.clineuro.2024.108238. PubMed PMID: 38507989.
  13. Silcox C, Zimlichmann E, Huber K, Rowen N, Saunders R, McClellan M, et al. The potential for artificial intelligence to transform healthcare: perspectives from international health leaders. NPJ Digit Med. 2024;7(1):88. doi: 10.1038/s41746-024-01097-6. PubMed PMID: 38594477; PubMed Central PMCID: MCPMC11004157.
  14. Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021;8(2):e188-e94. doi: 10.7861/fhj.2021-0095. PubMed PMID: 34286183; PubMed Central PMCID: MCPMC8285156.
  15. Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, et al. Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. 2018;15(141). doi: 10.1098/rsif.2017.0387. PubMed PMID: 29618526; PubMed Central PMCID: MCPMC5938574.
  16. Thribhuvan Reddy D, Grewal I, Garcia Pinzon LF, Latchireddy B, Goraya S, Ali Alansari B, et al. The Role of Artificial Intelligence in Healthcare: Enhancing Coronary Computed Tomography Angiography for Coronary Artery Disease Management. Cureus. 2024;16(6):e61523. doi: 10.7759/cureus.61523. PubMed PMID: 38957241; PubMed Central PMCID: MCPMC11218716.
  17. Vamathevan J, Clark D, Czodrowski P, Dunham I, Ferran E, Lee G, et al. Applications of machine learning in drug discovery and development. Nat Rev Drug Discov. 2019;18(6):463-77. doi: 10.1038/s41573-019-0024-5. PubMed PMID: 30976107; PubMed Central PMCID: MCPMC6552674.
  18. Athar M. Potentials of artificial intelligence in familial hypercholesterolemia: Advances in screening, diagnosis, and risk stratification for early intervention and treatment. Int J Cardiol. 2024;412:132315. doi: 10.1016/j.ijcard.2024.132315. PubMed PMID: 38972488.
  19. Younis HA, Eisa TAE, Nasser M, Sahib TM, Noor AA, Alyasiri OM, et al. A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges. Diagnostics (Basel). 2024;14(1). doi: 10.3390/diagnostics14010109. PubMed PMID: 38201418; PubMed Central PMCID: MCPMC10802884.
  20. Tustumi F, Andreollo NA, Aguilar-Nascimento JE. Future of the Language Models in Healthcare: The Role of Chatgpt. Arq Bras Cir Dig. 2023;36:e1727. doi: 10.1590/0102-672020230002e1727. PubMed PMID: 37162073; PubMed Central PMCID: MCPMC10168663.
  21. Dave T, Athaluri SA, Singh S. ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations. Front Artif Intell. 2023;6:1169595. doi: 10.3389/frai.2023.1169595. PubMed PMID: 37215063; PubMed Central PMCID: MCPMC10192861.
  22. Temsah MH, Aljamaan F, Malki KH, Alhasan K, Altamimi I, Aljarbou R, et al. ChatGPT and the Future of Digital Health: A Study on Healthcare Workers' Perceptions and Expectations. Healthcare (Basel). 2023;11(13). doi: 10.3390/healthcare11131812. PubMed PMID: 37444647; PubMed Central PMCID: MCPMC10340744.
  23. Abdelhalim H, Berber A, Lodi M, Jain R, Nair A, Pappu A, et al. Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine. Front Genet. 2022;13:929736. doi: 10.3389/fgene.2022.929736. PubMed PMID: 35873469; PubMed Central PMCID: MCPMC9299079.
  24. Aggarwal A, Tam CC, Wu D, Li X, Qiao S. Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. J Med Internet Res. 2023;25:e40789. doi: 10.2196/40789. PubMed PMID: 36826990; PubMed Central PMCID: MCPMC10007007.
  25. Akinrinmade AO, Adebile TM, Ezuma-Ebong C, Bolaji K, Ajufo A, Adigun AO, et al. Artificial Intelligence in Healthcare: Perception and Reality. Cureus. 2023;15(9):e45594. doi: 10.7759/cureus.45594. PubMed PMID: 37868407; PubMed Central PMCID: MCPMC10587915.
  26. Naik N, Hameed BMZ, Shetty DK, Swain D, Shah M, Paul R, et al. Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? Front Surg. 2022;9:862322. doi: 10.3389/fsurg.2022.862322. PubMed PMID: 35360424; PubMed Central PMCID: MCPMC8963864.
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