Published on: April 2026
ARTIFICIAL INTELLIGENCE IN PATIENT CARE AND MONITORING
Mehak Baisoya Sheffali Sethi Aditya Basu Harsh Jain
Dr Deepshikha Aggarwal
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Abstract
The integration of artificial intelligence (AI) into patient care and monitoring represents one of the most transformative developments in contemporary medicine. This paper examines AI-driven technologies deployed across clinical monitoring, predictive analytics, chronic disease management, and real-time patient surveillance, using a systematic review of peer-reviewed literature (2015–2025). Key technologies examined include machine learning (ML), deep learning (DL), natural language processing (NLP), and Internet of Medical Things (IoMT) platforms. Findings reveal significant improvements in deterioration detection sensitivity, reductions in hospital readmission rates, and enhanced patient engagement outcomes, alongside persistent challenges of algorithmic bias, data privacy, and regulatory complexity. This paper proposes evidence-based recommendations for responsible, equity-centered AI deployment in patient monitoring.
How to Cite this Paper
Baisoya, M., Sethi, S., Basu, A. & Jain, H. (2026). Artificial Intelligence in patient Care and Monitoring. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.265
Baisoya, Mehak, et al.. "Artificial Intelligence in patient Care and Monitoring." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.265.
Baisoya, Mehak,Sheffali Sethi,Aditya Basu, and Harsh Jain. "Artificial Intelligence in patient Care and Monitoring." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.265.
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- •Published on: Apr 24 2026
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