Abstract
Generative artificial intelligence (AI) holds great promise in neurointerventional surgery by providing clinicians with powerful tools for improving surgical precision, accuracy of diagnoses, and treatment planning. However, potential perils include biases or inaccuracies in the data used to train the algorithms, over-reliance on generative AI without human oversight, patient privacy concerns, and ethical implications of using AI in medical decision-making. Careful regulation and oversight are needed to ensure that the promises of generative AI in neurointerventional surgery are realized while minimizing its potential perils.[ChatGPT authored summary using the prompt “In one paragraph summarize the promises and perils of generative AI in neurointerventional surgery”.]
Subject
Neurology (clinical),General Medicine,Surgery
Reference44 articles.
1. Introducing ChatGPT. 2023 Available: https://openai.com/blog/chatgpt
2. Milmo D . ChatGPT reaches 100 million users two months after launch [The Guardian]. 2023. Available: https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app
3. Computing machinery and intelligence;Turing;Mind,1950
4. Generative adversarial networks
5. Karras T . Alias-free generative adversarial networks (StyleGAN3). 2023 Available: https://nvlabs.github.io/stylegan3
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献