The Role of Artificial Intelligence and Machine Learning in Decision-Making in the ICU

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Published: Dec 14, 2024
DOI: https://doi.org/10.47191/ijmscrs/v4-i12-31
Keywords:
Artificial intelligence, Healthcare, Machine Learning, Predictive Analytics, Personalized medicine.

Main Article Content

Dr Ketan Kargirwar
Senior Consultant, Critical Care Medicine Department: Intensive Care Medicine, Sir Hurkisondas Nurrotumdas Reliance Foundation Hospital and Research Centre
Dr Anjali Dange
Clinical Assistant, Department: Internal Medicine, Sir Hurkisondas Nurrotumdas Reliance Foundation Hospital and Research Centre
Dr Rahul Pandit
Chair, Critical Care Medicine Department: Intensive Care Medicine, Sir Hurkisondas Nurrotumdas Reliance Foundation Hospital and Research Centre

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing critical care. In the Intensive Care Unit (ICU), timely and accurate decisions are crucial. AI and ML can enhance decision-making by predicting adverse events, personalizing treatment plans, and improving diagnostic accuracy. Early warning systems, powered by AI, can detect conditions like sepsis and acute respiratory distress syndrome early on. AI-driven decision support systems provide real-time recommendations, optimizing resource allocation and ensuring adherence to best practices.


While AI offers significant benefits, challenges like data privacy, bias, and ethical considerations must be addressed. Ensuring transparency, accountability, and fairness in AI algorithms is essential.


The future of AI in the ICU is promising. Advancements in AI and ML, coupled with collaborative human-AI approaches can further improve patient outcomes. By addressing ethical concerns and fostering responsible AI development, healthcare providers can harness the power of AI to optimize critical care.

Article Details

How to Cite
Dr Ketan Kargirwar, Anjali Dange, & Dr Rahul Pandit. (2024). The Role of Artificial Intelligence and Machine Learning in Decision-Making in the ICU. International Journal of Medical Science and Clinical Research Studies, 4(12), 2289–2295. https://doi.org/10.47191/ijmscrs/v4-i12-31
Issue
Vol. 4 No. 12 (2024): Volume 04 Issue 12 December 2024
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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