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AI IN HEALTHCARE: EARLY DISEASE DETECTION AND PERSONALIZED MEDICINE

AUTHORS:
Aditya Singh
Mentor
Ram Kumar Sharma
Affiliation
Assistant Professor (IT Department)NIET, Greater Noida
DOI: 10.55041/ijsmt.v2i5.164
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

In today's society, with its unique challenges of delayed disease detection, human error, and limited personalized treatment options, the accuracy, efficiency and accessibility of the healthcare systems are of paramount importance. Recently, Artificial Intelligence (AI) has emerged as a promising solution in the medical field, offering advanced data analysis, predictive modeling, and intelligent decision-making capabilities. Despite this, current AI-driven health care systems have several drawbacks, such as maintaining data privacy, model reliability, and integration with healthcare practices. The paper will examine the possibilities that AI can bring to the table in detecting diseases early and in personalized medicine, thereby improving the outcome of the patient and healthcare efficiency. It highlights both the hurdles and the opportunities that come with the use of AI in healthcare, such as ensuring the security of medical data, improving predictive accuracy, addressing ethical issues, making sure the systems scale well, and enabling widespread adoption in medical facilities. A review of the existing approaches, research gaps, and a conceptual framework of an AI-based healthcare system that will be beneficial in providing accurate, efficient, and patient-centered healthcare services. The research will contribute to the understanding of healthcare professionals, researchers, and policy makers that aim at the development of smart, reliable healthcare solutions..

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 05
Review Rounds:
2
Article Type:
Research Article
Publication Date:
May 11 2026
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Singh, A. (2026). AI in Healthcare: Early Disease Detection and Personalized Medicine. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.164

Singh, Aditya. "AI in Healthcare: Early Disease Detection and Personalized Medicine." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.164.

Singh, Aditya. "AI in Healthcare: Early Disease Detection and Personalized Medicine." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.164.

References
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2.Recharla, M., Chakilam, C., Kannan, S., Nuka, S. T., & Suura, S. R. (2025). Harnessing AI and machine learning for precision medicine: Advancements in genomic research, disease detection, and personalized healthcare. American Journal of Psychiatric Rehabilitation, 28(1), 112-123.

3.Chianumba, E. C., Ikhalea, N., Mustapha, A. Y., Forkuo, A. Y., & Osamika, D. (2023). Exploring the role of AI and machine learning in improving healthcare diagnostics and personalized medicine. Journal of Frontiers in Multidisciplinary Research, 4(1), 177-182.

4.Manik, M. M. T. G., Saimon, A. S. M., Miah, M. A., Ahmed, M. K., Khair, F. B., Moniruzzaman, M., ... & Bhuiyan, M. M. R. (2021). Leveraging AI-powered predictive analytics for early detection of chronic diseases: A data-driven approach to personalized medicine. Nanotechnol. Perceptions, 17(3), 269-288.

5.Rawat, B., Joshi, Y., & Kumar, A. (2023, August). AI in healthcare: opportunities and challenges for personalized medicine and disease diagnosis. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 374-379). IEEE.

6.Rane, N., Choudhary, S., & Rane, J. (2023). Towards autonomous healthcare: integrating artificial intelligence (AI) for personalized medicine and disease prediction. Available at SSRN 4637894.

7.Mandala, G., Reddy, R., Nishanth, A., Yasmeen, Z., & Maguluri, K. K. (2023). AI and ml in healthcare: redefining diagnostics, treatment, and personalized medicine. International Journal of Applied Engineering & Technology, 5(S6).

8.Kolluri, V. E. N. K. A. T. E. S. W. A. R. A. N. A. I. D. U. (2016). Revolutionizing Healthcare With AI: Personalized Medicine: Predictive. JETIR-Int. J. Emerg. Technol. Innov. Res, 3(11), 2349-5162.

9.Hassan, E., & Omenogor, C. E. (2025). AI powered predictive healthcare: Deep learning for early diagnosis, personalized treatment, and disease prevention. International Journal of Science and Research Archive, 14(03), 806-823.
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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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