Generative artificial intelligence technology is increasingly used in the medical field, and large hospitals are trying to integrate it into nursing services in order to improve efficiency and save costs. However, technology is developing far faster than regulatory capabilities, and the resulting risks and liability issues cannot be ignored. This article will explore the current application of generative artificial intelligence in the medical field, as well as the regulatory challenges and potential risks it brings.
Recently, large hospitals have been experimenting with generative artificial intelligence technology, which is believed to revolutionize care services and save money. However, healthcare organizations are adopting new technologies faster than regulators, creating potential risks and liability challenges. The risks and uncertainties brought by generative AI make regulation more complex, and regulators face the dilemma of how to manage this new technology. The Cleveland Clinic's chief digital officer warns that while generative AI can improve care efficiency, it can also create potential harm and liability issues.Generative artificial intelligence technology has broad application prospects in the medical field, but it also faces many challenges. Regulatory agencies need to formulate better laws and regulations to ensure the safety and reliability of this technology, balance innovation and risks, and ultimately achieve the improvement of medical services and the protection of patient well-being.