INTERNATIONAL JOURNAL OF ACADEMIC EXCELLENCE AND RESEARCH (IJAER) e-ISSN: 3107-3913 ( Vol. 02 | No. 2 | April - June, 2026 )

The Role of Artificial Intelligence in Transforming the Healthcare Industry: A Systematic Literature Review

Author: Harshita Shukla & Mahima Bajpai

Purpose: This study explores the transformative role of artificial intelligence in the Healthcare Industry through a systematic literature review. Subsequently, this assessment elucidates how Artificial Intelligence in hospitals is a paradigm-shifting domain that aids in diagnosis, treatment, and monitoring real-time data analysis of patients. Smarter healthcare techniques like IOT, machine learning, and deep learning are fostered in a streamlining environment, refining processes and elevating a better experience in patients and healthcare professionals, which leads to patient-centered healthcare services. Design/ Methodology/Approach: This research implemented data were extracted from the SCOPUS Database, analyzing 71 peer-reviewed research articles encompassing publications between 2010-2024. The Systematic review methodology incorporated bibliometric analysis techniques using VOSviewer to perform Co-authorship, Co-occurrence, Co-citation, and Bibliometric Coupling Network. Therefore, the PRISMA Model was followed to ensure methodological rigor and transparency for the study. Findings: A Systematic Analysis illustrated a significant rise in research publications on AI applications in the healthcare industry after the COVID-19 pandemic in the U.S., India, and China. The findings underscore that AI is therefore revolutionizing healthcare in augmenting diagnostic precision, enabling individualized therapy, accelerating operational workflows, reducing administrative and overhead expenses, and forecasting analytics for improved patient outcomes.

Shukla, H. & Bajpai, M. (2026). The Role of Artificial Intelligence in Transforming the Healthcare Industry: A Systematic Literature Review. International Journal of Academic Excellence and Research, 02(02), 112–120. https://doi.org/10.62823/IJAER/02.02.214

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https://doi.org/10.1109/rbme.2022.3210270.

DOI:

Article DOI: 10.62823/IJAER/02.02.214

DOI URL: https://doi.org/10.62823/IJAER/02.02.214

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