Artificial Intelligence (AI) is transforming the healthcare landscape by automating complex tasks and enhancing patient safety. This paper examines AI’s role in detecting adverse events, improving clinical decision-making, and predicting patient outcomes. AI-based systems, particularly in medical imaging and diagnostics, are helping reduce errors and prevent unnecessary harm. However, challenges such as data quality, system transparency, and ethical concerns present hurdles to its widespread adoption. This review examines current literature on AI’s impact on patient safety, identifying the potential benefits and limitations. It also discusses future directions for AI-driven healthcare, emphasizing the need for robust regulatory frameworks and ethical considerations.
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Jumba K. Kato (2024) studied this question.
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