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Medical Letter (Medletter)
2023, Volume 1, Issue 1 : 1-6
Research Article
Artificial Intelligence in Clinical Decision-Making
Emily Johnson
1
 ,
Michael Anderson
2
 ,
Sarah Williams
3
1
Department of Internal Medicine, Global Health Research Institute, Boston, USA
2
Department of Medical Informatics, International Medical Research Center, London, UK
3
Department of Healthcare Technology, European Institute of Clinical Sciences, Berlin, Germany
Abstract

Background

Artificial Intelligence (AI) is transforming healthcare by improving diagnostic accuracy, treatment planning, patient monitoring, and clinical workflow efficiency. AI-driven clinical decision support systems (CDSS) have demonstrated significant potential in assisting healthcare professionals in making evidence-based decisions.

Objective

This study evaluates the role, benefits, challenges, and future implications of artificial intelligence in clinical decision-making across various healthcare settings.

Methods

A narrative review and analytical assessment were conducted using recent literature published between 2019 and 2025. Studies focusing on AI applications in diagnosis, prognosis, treatment recommendations, and clinical workflow optimization were reviewed.

Results

AI significantly improves diagnostic accuracy, reduces medical errors, enhances patient outcomes, and supports personalized medicine. Machine learning algorithms have achieved diagnostic accuracies exceeding 90% in radiology, pathology, and cardiovascular disease detection. However, concerns remain regarding data privacy, algorithmic bias, ethical considerations, and integration into existing healthcare systems.

Conclusion

Artificial intelligence is becoming a vital component of modern healthcare decision-making. Appropriate regulation, clinician training, and ethical frameworks are essential for successful adoption and sustainable implementation.

 

Keywords
Artificial Intelligence
Clinical Decision Support Systems
Machine Learning
Healthcare Technology
Precision Medicine
Medical Informatics
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