Author(s):
Mayur K. Patil, Hitendra S. Chaudhari, S. P. Pawar, Roshan M. Chaudhari, Rahul B. Lovhare, Mahesh B. Patil
Email(s):
mayurarthe2003@gmail.com , hitendra0808@gmail.com
DOI:
10.52711/2231-5659.2025.00024
Address:
The Role of AI in Health Care
Mayur K. Patil*, Hitendra S. Chaudhari, S. P. Pawar, Roshan M. Chaudhari, Rahul B. Lovhare, Mahesh B. Patil
Department of Pharmaceutics, P.S.G.V.P. Mandal's College of Pharmacy, Shahada, Maharashtra.
*Corresponding Author
Published In:
Volume - 15,
Issue - 2,
Year - 2025
ABSTRACT:
Artificial intelligence has completely changed the medical sector. A. I. has piqued the interest of physicians in incorporating innovation into healthcare systems lately. Using cutting-edge algorithms and processing power to improve many facets of healthcare delivery, artificial intelligence (AI) has emerged as a disruptive force, completely changing the business. The background emphasises how artificial intelligence as an innovation promises to change the way medical personnel treat, diagnose, and manage patients. With an emphasis on the benefits and drawbacks, this thorough literature analysis aims to locate the most pertinent sources of data on A. I. application in healthcare. The information gathered from the materials gave important new insights into the ways A.I. is applied in the medical field and how it affects patient care and healing. The results showed that A. I. simplifies laborious tasks since it provides accurate and quick services that allow for early sickness detection and improve patient outcomes. Real-time data from AI is crucial for treating patients' diseases with specific goals in mind, and its utilisation helps lessen medical professionals' burnout. Because AI is capable of gathering and analysing vast volumes of data, it aids in the provision of Precision Medicine. The upcoming paths include putting the legislative framework into effect, improving accountability and openness, and resolving issues with data standardisation.
Cite this article:
Mayur K. Patil, Hitendra S. Chaudhari, S. P. Pawar, Roshan M. Chaudhari, Rahul B. Lovhare, Mahesh B. Patil. The Role of AI in Health Care. Asian Journal of Research in Pharmaceutical Sciences. 2025; 15(2):155-0. doi: 10.52711/2231-5659.2025.00024
Cite(Electronic):
Mayur K. Patil, Hitendra S. Chaudhari, S. P. Pawar, Roshan M. Chaudhari, Rahul B. Lovhare, Mahesh B. Patil. The Role of AI in Health Care. Asian Journal of Research in Pharmaceutical Sciences. 2025; 15(2):155-0. doi: 10.52711/2231-5659.2025.00024 Available on: https://ajpsonline.com/AbstractView.aspx?PID=2025-15-2-9
REFERENCES:
1. Stewart, C. (2023) Artificial intelligence (AI) in Healthcare Market Size Worldwide 2021-2030. Statista. https://www.statista.com/statistics/1334826/ai-in-healthcare-market-size-worldwide
2. Al-Kuwaiti, A., Nazer, K., Al-Reedy, A., et al. (2023) A Review of the Role of Artificial Intelligence in Healthcare. Journal of Personalized Medicine, 13, Article No. 951. https://doi.org/10.3390/jpm13060951
3. Noorbakhsh-Sabet, N., Zand, R., Zhang, Y. and Abedi, V. (2019) Artificial Intelligence Transforms the Future of Health Care. The American Journal of Medicine, 132, 795-801. https://doi.org/10.1016/j.amjmed.2019.01.017
4. Bajwa, J., Munir, U., Nori, A. and Williams, B. (2021) Artificial Intelligence in Healthcare: Transforming the Practice of Medicine. Future Healthcare Journal, 8, e188. https://doi.org/10.7861/fhj.2021-0095
5. Tilahun, B., Gashu, K.D., Mekonnen, Z.A., Endehabtu, B.F. and Angaw, D.A. (2021) Mapping the Role of Digital Health Technologies in Prevention and Control of COVID-19 Pandemic: Review of the Literature. Yearbook of Medical Informatics, 30, 26-37. https://doi.org/10.1055/s-0041-1726505
6. Xiao, D., Meyers, P., Upperman, J.S. and Robinson, J.R. (2023) Revolutionizing Healthcare with ChatGPT: An Early Exploration of an A.I. Language Model’s Impact on Medicine at Large and Its Role in Pediatric Surgery. Journal of Pediatric Surgery. https://doi.org/10.1016/j.jpedsurg.2023.07.008
7. Alexandra Harry. (2023) Transforming Patient Care: The Role of Artificial Intelligence in Healthcare; A mini Review. BULLET: Jurnal Multidisiplin Ilmu, 2, 530-533. https://journal.mediapublikasi.id/index.php/bullet/article/view/2760
8. Beltrami, E.J., Brown, A.C., Salmon, P.J.M., Leffell, D.J., Ko, J.M. and Grant-Kels, J.M. (2022) Artificial Intelligence in the Detection of Skin Cancer. Journal of the American Academy of Dermatology, 87, 1336-1342. https://doi.org/10.1016/j.jaad.2022.08.028
9. Robert, N. (2019) How Artificial Intelligence Is Changing Nursing. Nursing Management, 50, 30-39. https://doi.org/10.1097/01.NUMA.0000578988.56622.21
10. Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M.A.A. and Dwivedi, Y.K. (2022) A Systematic Literature Review of Artificial Intelligence in the Healthcare Sector: Benefits, Challenges, Methodologies, and Functionalities. Journal of Innovation & Knowledge, 8, Article ID: 100333. https://doi.org/10.1016/j.jik.2023.100333
11. Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V. and Biancone, P. (2021) The Role of Artificial Intelligence in Healthcare: A Structured Literature Review. BMC Medical Informatics and Decision Making, 21, Article No. 125. https://doi.org/10.1186/s12911-021-01488-9
12. Bhbosale, S., Pujari, V. and Multani, Z. (2020) Advantages and Disadvantages of Artificial Intelligence. Aayushi International Interdisciplinary Research Journal, 77, 227-230. https://www.researchgate.net/profile/Vinayak-Pujari-2/publication/344584269_Advantages_And_Disadvantages_Of_Artificial_Intellegence/links/5f81b70192851c14bcbc1d9 6/Advantages-And-Disadvantages-Of-Artificial-Intellegence.pdf
13. Sitthipon, T., Kaewpuang, P., Jaipong, P., Sriboonruang, P., Siripipattanakul, S. and Auttawechasakoon, P. (2022) Artificial Intelligence (A.I.) Adoption in the Medical Education during the Digital Era: A Review Article. Review of Advanced Multidispliniary Science, Engineering & Innovation, 1, 227-230. https://ssrn.com/abstract=4168693
14. Mesko, B. and Topol, E.J. (2023) The Imperative for Regulatory Oversight of Large Language Models (or Generative A.I.) in Healthcare. NPJ Digital Medicine, 6, Article No. 120. https://doi.org/10.1038/s41746-023-00873-0
15. Yin, J., Ngiam, K.Y. and Teo, H.H. (2021) Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review. Journal of Medical Internet Research, 23, e25759.
16. Hernandez-Boussard, T., Bozkurt, S., Ioannidis, J.P. and Shah, N.H. (2020) MINIMAR (MINimum Information for Medical A.I. Reporting): Developing Reporting Standards for Artificial Intelligence in Health Care. Journal of the American Medical Informatics Association, 27, 2011-2015. https://doi.org/10.1093/jamia/ocaa088
17. Nagendran, M., Chen, Y., Lovejoy, C.A., Gordon, A.C., Komorowski, M., Harvey, H., Topol, E.J., Ioannidis, J.P.A., Collins, G.S. and Maruthappu, M. (2020) Artificial Intelligence versus Clinicians: Systematic Review of Design, Reporting Standards, and Claims of Deep Learning Studies. BMJ (Clinical Research ed. ), 368, m689. https://doi.org/10.1136/bmj.m689
18. Dave, M. and Patel, N. (2023) Artificial Intelligence in Healthcare and Education. British Dental Journal, 234, 761-764. https://doi.org/10.1038/s41415-023-5845-2
19. Lee, D. and Yoon, S.N. (2020) Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges. International Journal of Environmental Research and Public Health, 18, Article No. 271. https://doi.org/10.3390/ijerph18010271
20. Yan, Y.S., Thilo, F.J., Felzmann, H., Dowding, D. and Lee, J.J. (2023) Artificial Intelligence in Nursing and Midwifery: A Systematic Review. Journal of Clinical Nursing, 32, 2951-2968. https://doi.org/10.1111/jocn.16478
21. O’Connor, S., Yan, Y., Thilo, F.J.S., Felzmann, H., Dowding, D. and Lee, J.J. (2023) Artificial Intelligence in Nursing and Midwifery: A Systematic Review. Journal of Clinical Nursing, 32, 2951-2968. https://doi.org/10.1111/jocn.16478
22. Lysaght, T., Lim, H.Y., Xafis, V. and Ngiam, K.Y. (2019) A.I.-Assisted Decision-Making in Healthcare: The Application of an Ethics Framework for Big Data in Health and Research. Asian Bioethics Review, 11, 299-314. https://doi.org/10.1007/s41649-019-00096-0
23. Kulkarni, S., Seneviratne, N., Baig, M.S. and Khan, A.H.A. (2020) Artificial Intelligence in Medicine: Where Are We Now? Academic Radiology, 27, 62-70. https://doi.org/10.1016/j.acra.2019.10.001
24. Duran, J.M. and Jongsma, K.R. (2021) Who Is Afraid of Black Box Algorithms? On the Epistemological and Ethical Basis of Trust in Medical A.I. Journal of Medical Ethics, 47, 329-335. http://dx.doi.org/10.1136/medethics-2020-106820
25. Kelly, C.J., Karthikesalingam, A., Suleyman, M., Corrado, G. and King, D. (2019) Key Challenges for Delivering Clinical Impact with Artificial Intelligence. BMC Medicine, 17, Article No. 195. https://doi.org/10.1186/s12916-019-1426-2
26. Leslie, D., Mazumder, A., Peppin, A., Wolters, M.K. and Hagerty, A. (2021) Does “A.I.” Stand for Augmenting Inequality in the Era of Covid-19 Healthcare? BMJ, 372, n304. https://doi.org/10.1136/bmj.n304
27. Kocaballi, A.B., Ijaz, K., Laranjo, L., Quiroz, J.C., Rezazadegan, D., Tong, H.L., Willcock, S., Berkovsky, S. and Coiera, E. (2020) Envisioning an Artificial Intelligence Documentation Assistant for Future Primary Care Consultations: A Co-Design Study with General Practitioners. Journal of the American Medical Informatics Association, 27, 1695-1704. https://doi.org/10.1093/jamia/ocaa131
28. Hatherley, J.J. (2020) Limits of Trust in Medical A.I. Journal of Medical Ethics, 46, 478-481. http://dx.doi.org/10.1136/medethics-2019-105935
29. Morrow, E., Zidaru, T., Ross, F., Mason, C., Patel, K.D., Ream, M. and Stockley, R. (2023) Artificial Intelligence Technologies and Compassion in Healthcare: A Systematic Scoping Review. Frontiers in Psychology, 13, Article ID: 971044. https://doi.org/10.3389/fpsyg.2022.971044
30. Aung, Y.Y., Wong, D.C. and Ting, D.S. (2021) The Promise of Artificial Intelligence: A Review of the Opportunities and Challenges of Artificial Intelligence in Healthcare. British Medical Bulletin, 139, 4-15. https://doi.org/10.1093/bmb/ldab016
31. Waisberg, E., Ong, J., Paladugu, P., Kamran, S.A., Zaman, N., Lee, A.G. and Tavakkoli, A. (2022) Challenges of Artificial Intelligence in Space Medicine. Space: Science & Technology, 2022, Article ID: 9852872. https://doi.org/10.34133/2022/9852872
32. Naude, W. (2020) Artificial Intelligence vs COVID-19: Limitations, Constraints and Pitfalls. A.I. and Society, 35, 761-765. https://doi.org/10.1007/s00146-020-00978-0
33. Malik, P., Pathania, M. and Rathaur, V.K. (2019) Overview of Artificial Intelligence in Medicine. Journal of Family Medicine and Primary Care, 8, 2328-2331. https://doi.org/10.4103/jfmpc.jfmpc_440_19
34. Singh, R., Volner, K. and Marlowe, D. (2019) Provider Burnout. StatPearls Publishing, Treasure Island.
35. Su, H., Wu, H. and Kao, H. (2021) Artificial Intelligence in Precision Medicine in Hepatology. Journal of Gastroenterology and Hepatology, 36, 569-580. https://doi.org/10.1111/jgh.15415
36. Rompianesi, G., Pegoraro, F., Ceresa, C.D., Montalti, R. and Troisi, R.I. (2022) Artificial Intelligence in the Diagnosis and Management of Colorectal Cancer Liver Metastases. World Journal of Gastroenterology, 28, 108-122. https://doi.org/10.3748/wjg.v28.i1.108
37. Davenport, T. and Kalakota, R. (2019) The Potential for Artificial Intelligence in Healthcare. Future Healthcare Journal, 6, 94-98. https://doi.org/10.7861/futurehosp.6-2-94
38. Levi, R. and Gorenstein, D. (2023) A.I. in Medicine Needs to Be Carefully Deployed to Counter Bias and Not Entrench It. National Public Radio. https://www.npr.org/sections/health-shots/2023/06/06/1180314219/artificial-intellig ence-racial-bias-health-care#:~:text=A%20landmark%202019%20study%20publishe d, to%20predict%20future%20health%20needs