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Enhancing Clinical Decision Support with ChatGPT and Explainable AI Solutions

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Leveraging ChatGPT and explainable AI for enhancing clinical decision support

In “Revolutionizing Healthcare: The Role of Artificial Intelligence in Clinical Practice,” Alowais et al. (2023) explore the transformative impact of AI in healthcare. The article emphasizes AI’s applications in enhancing clinical decision-making, optimizing patient outcomes, and facilitating personalized medicine. By leveraging large language models and advanced analytics, AI tools are poised to reshape patient care, improve diagnostic accuracy, and streamline workflows. The authors highlight the significance of prompt engineering techniques in AI’s integration into clinical practices, reinforcing the need for ongoing research and development. Challenges, such as data privacy and the necessity for clinician training, are also discussed. This comprehensive review advocates for a multidisciplinary approach to harness AI’s full potential in healthcare, ensuring effective and ethical implementation. As the healthcare field continues to evolve, understanding AI’s capabilities and limitations will be crucial for optimizing its benefits while addressing potential concerns.

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