Patient safety remains a major challenge for healthcare systems worldwide despite continuous advances in medical science and technology. Artificial intelligence (AI) has recently emerged as a promising tool for improving the quality and safety of healthcare delivery. By analyzing large volumes of clinical data and identifying patterns beyond human capability, AI may help healthcare professionals detect risks earlier, reduce medication errors, and improve diagnostic accuracy. However, concerns regarding data quality, transparency, ethical responsibility, and patient privacy must be addressed before widespread implementation. This editorial discusses the opportunities and challenges associated with the use of AI in patient safety and highlights the importance of maintaining human oversight in AI-assisted healthcare.



Conclusion



Artificial intelligence has the potential to become an important component of future patient safety initiatives. By supporting earlier detection of clinical deterioration, reducing medication-related errors, and assisting diagnostic processes, AI may help healthcare systems deliver safer and more effective care. However, realizing these benefits requires careful attention to ethical considerations, data quality, transparency, and human oversight. The most promising future lies in a collaborative model in which artificial intelligence enhances, rather than replaces, clinical expertise.