College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Stud Health Technol Inform. 2024 Aug 22;316:554-555. doi: 10.3233/SHTI240474.
Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with challenges. Over-reliance on AI systems can lead to automation bias, necessitating human oversight. Ethical considerations, transparency, and collaboration between healthcare providers and AI developers are crucial. Pursuing ethical frameworks, bias mitigation techniques, and transparency measures is key to advancing AI's role in healthcare while upholding patient safety and quality care.
人工智能（AI）为医疗保健带来了巨大的希望，但整合 AI 系统也带来了挑战。过度依赖 AI 系统可能导致自动化偏见，需要人工监督。伦理考虑、透明度以及医疗保健提供者和 AI 开发者之间的合作至关重要。追求伦理框架、偏见缓解技术和透明度措施是在维护患者安全和高质量护理的同时推进 AI 在医疗保健中的作用的关键。
