Transforming Healthcare with AI: Promises, Pitfalls, and Pathways Forward

Transforming Healthcare with AI: Promises, Pitfalls, and Pathways Forward

1 May 2024 | Ali Shuaib
This perspective paper by Ali Shuaib from Kuwait University's Biomedical Engineering Unit provides a comprehensive examination of the transformative impact of artificial intelligence (AI) on healthcare. The paper highlights AI's potential to streamline administrative processes, enhance patient care, and reduce physician burnout while maintaining a human-centric approach. It emphasizes the need for context-specific adaptations and careful integration of AI technologies into existing healthcare workflows to maximize benefits and minimize unintended consequences. The paper also discusses the implications of AI on healthcare professionals' roles and competencies, the importance of data literacy and technology use in education, and ethical considerations such as data privacy, algorithmic biases, and equitable access to AI-driven healthcare. It advocates for a balanced approach to AI adoption, emphasizing the importance of ongoing research, strategic implementation, and the synergistic combination of human expertise with AI technologies for optimal patient care. The paper concludes by highlighting the need for a dynamic and ethically grounded framework to fully realize the potential of AI in healthcare while mitigating risks.This perspective paper by Ali Shuaib from Kuwait University's Biomedical Engineering Unit provides a comprehensive examination of the transformative impact of artificial intelligence (AI) on healthcare. The paper highlights AI's potential to streamline administrative processes, enhance patient care, and reduce physician burnout while maintaining a human-centric approach. It emphasizes the need for context-specific adaptations and careful integration of AI technologies into existing healthcare workflows to maximize benefits and minimize unintended consequences. The paper also discusses the implications of AI on healthcare professionals' roles and competencies, the importance of data literacy and technology use in education, and ethical considerations such as data privacy, algorithmic biases, and equitable access to AI-driven healthcare. It advocates for a balanced approach to AI adoption, emphasizing the importance of ongoing research, strategic implementation, and the synergistic combination of human expertise with AI technologies for optimal patient care. The paper concludes by highlighting the need for a dynamic and ethically grounded framework to fully realize the potential of AI in healthcare while mitigating risks.
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