REVOLUTIONIZING HEALTHCARE: THE IMPACT OF AI IN MEDICAL SCIENCE
Keywords:
Artificial Intelligence (AI), Healthcare, Medical Science, TechnologyAbstract
The growing role of artificial intelligence (AI) in healthcare has brought about significant advancements in medical science, leading to benefits such as enhanced efficiency, precision, and patient-centered care. Despite these positive outcomes, the integration of AI in healthcare also brings several challenges, including concerns surrounding data privacy, ethical considerations, and regulatory issues.
This research paper aims to explore the impact of AI on medical science by examining its advantages, disadvantages, and potential solutions. The advantages of AI include personalized care, enhanced accuracy, improved drug development, remote care, and increased efficiency. Nevertheless, the challenges associated with AI in healthcare encompass lack of transparency, concerns around data privacy, limited human interaction, high costs, and ethical considerations. Possible solutions to address these challenges include promoting greater transparency, strengthening data privacy protections, preserving human interaction, reducing costs, and addressing ethical concerns. By thoughtfully addressing these factors, we can ensure that AI is implemented in healthcare in ways that are ethical, safe, and beneficial for patients.
References
Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019 Jun;6(2):94-98. doi: 10.7861/futurehosp.6-2-94.
Lee SI, Celik S, Logsdon BA, Lundberg SM, Martins TJ, Oehler VG, Estey EH, Miller CP, Chien S, Dai J, Saxena A, Blau CA, Becker PS. A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Nat Commun. 2018 Jan 3;9(1):42. doi: 10.1038/s41467-017-02465-5.
Bush J. How AI is taking the scut work out of health care. Harvard Business Review 2018. https://hbr.org/2018/03/how-ai-is-taking-the-scut-work-out-of-health-care.
Shimabukuro DW, Barton CW, Feldman MD, Mataraso SJ, Das R. Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial. BMJ Open Respir Res. 2017 Nov 9;4(1):e000234. doi: 10.1136/bmjresp-2017-000234.
Gleneagles Global Health City. (2023, February 13). Revolutionizing Healthcare: The Various Uses of AI in the Industry., Gleneagles Global Health City. Retrieved from
https://gleneaglesglobalhealthcitychennai.com/health-plus-blog/revolutionizing-healthcare/
Meiliana, A., Dewi, N.M., & Wijaya, A. (2019). Artificial Intelligence in Healthcare. Indones Biomed J, 11(2), 125-135. DOI: 10.18585/inabj.v11i2.844
Topol, E.J. High-performance medicine: the convergence of human and artificial intelligence. Nat Med 25, 44–56 (2019). https://doi.org/10.1038/s41591-018-0300-7
Kuperman GJ, Bobb A, Payne TH, Avery AJ, Gandhi TK, Burns G, et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J Am Med Inform Assoc. 2007; 14: 29-40
Beam, Andrew L, and Isaac S Kohane. “Translating Artificial Intelligence into Clinical Care.” JAMA vol. 316,22 (2016): 2368-2369.
Chakradhar S. Predictable response: finding optimal drugs and doses using artificial intelligence. Nat Med. 2017; 23: 1244-7.
Bajpai, Nirupam; Wadhwa, Manisha (2021): Artificial Intelligence and Healthcare in India, ICT India Working Paper, No. 43, Columbia University, Earth Institute, Center for Sustainable Development (CSD), New York, NY
S. B. Vinay, Transforming E-Governance with Artificial Intelligence: Opportunities, Challenges, and Future Directions, International Journal of Advanced Research in Management (IJARM). 14(1), 2023. pp. 1-10
S. B. Vinay, A Study on Application of Artificial Intelligence in E-Recruitment in IT Sector, Chennai, International Journal of Marketing and Human Resource Management (IJMHRM), 14(1), 2023, pp. 1-14
S. B. Vinay, Application of Artificial Intelligence (AI) In School Teaching and Learning Process- Review and Analysis, International Journal of Information Technology and Management Information Systems (IJITMIS), 14(1), 2023, pp. 1-5
S. B. Vinay, Application of Artificial Intelligence (AI) In E-Publishing Industry in India, International Journal of Computer Engineering and Technology (IJCET) 14(1), 2023, pp. 7-12
Mahajan, Abhishek1,4,; Vaidya, Tanvi1,4; Gupta, Anurag1,4; Rane, Swapnil2,4; Gupta, Sudeep3,4. Artificial intelligence in healthcare in developing nations: The beginning of a transformative journey. Cancer Research, Statistics, and Treatment 2(2):p 182-189, Jul–Dec 2019. DOI: 10.4103/CRST.CRST_50_19