Dear Thitikan, your topic is really informatives, thank you for sharing ka.
1. When considering patient safety in using medical AI systems, in my opinion, medical doctors who use it are one of the most important factors. Their knowledge and experience are crucial in understanding AI recommendations and making decisions that fit each patient’s unique situation. To deal with this challenge in improving safety, doctors and staff who use it need comprehensive training programs to thoroughly understand how AI systems work, including their limitations and potential biases. Additionally, they need to keep up to date with the latest developments in AI technology. Also, collaboration with AI developers is needed, as it allows doctors and healthcare providers to give feedback and improve AI systems, ensuring they meet clinical needs.
2. To build trust and confidence in the medical community, medical AI systems must show high accuracy. To achieve this, we need to train AI systems on high-quality, diverse datasets. This approach reduces the risk of learning false patterns and improves the system’s ability to perform well in different clinical settings. Furthermore, regularly benchmark the AI system’s performance against established clinical standards and other AI systems to ensure it meets or exceeds efficacy expectations.