ABSTRACT:
Background: The concept of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare is gaining popularity by helping doctors to make the correct diagnosis and ensure better clinical decision-making and efficiency of healthcare workers. This systematic review evaluates the value of AI/ML technology to participate, especially with regard to increasing the precision of diagnostics, enhanced documentation of clinical data, and personalized medical treatment in medicine. Methods: The study performed a thorough search in various databases such as PubMed, EMBASE, IEEE Xplore, or the Cochrane Central Register of Controlled Trials to select the appropriate randomized controlled trials (RCTs) on the application of AI/ML in healthcare. The inclusion criteria were centered on the papers published in 2020-2024 about RCTs testing the use of AI/ML regarding diagnostic accuracy, clinical working process, or treatment. Results: AI/ML tools applied in these studies were Convolutional Neural Networks (CNNs), Support Vector Machine (SVM) and Natural Language Processing (NLP). The majority of the researches were aimed at increasing the level of medical diagnosis in medical imaging and endoscopy, real-time computer-aided detection (CADe) tool can promote the efficiency of adenoma detection (ADR) and early detection of pathologies. Clinical documentation aids powered by AI cut down the workload of clinicians and burnout rates. Customized treatment tools enhanced the quality of decision making especially in areas such as orthopedics and oncology. Conclusions: AI/ML tools have a large potential in improving the accuracy of diagnosis, clinical workflow optimization and personalized treatment. Nevertheless, there are issues of patient involvement, bias in the algorithm, and privacy of data. To enhance the AI/ML implementation in healthcare, further research is required to perfect the available tools, make their implementation safe, effective, and equal.
Cite this article:
Jobby George, Jipi Varghese. Emerging Trends in the Utilization of Artificial Intelligence in Healthcare: A Systematic Review of Clinical Trials. Research Journal of Pharmacy and Technology. 2026;19(8):3929-8. doi: 10.52711/0974-360X.2026.00552
Cite(Electronic):
Jobby George, Jipi Varghese. Emerging Trends in the Utilization of Artificial Intelligence in Healthcare: A Systematic Review of Clinical Trials. Research Journal of Pharmacy and Technology. 2026;19(8):3929-8. doi: 10.52711/0974-360X.2026.00552 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2026-19-8-69
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