Abstract
Artificial intelligence (AI) promises to transform modern health care on multiple fronts, which
may continue the long history of health care improvement enabled by the advancement of technology. 1 However, the complexity of AI systems poses questions regarding their reliability and safety in the health care context, particularly in the light of recent evidence of biases in the operation of AI systems.2 Additional concerns include uncertainty around the strengths and limitations of AI systems, and the lack of clear strategies for the safe integration of AI with existing health care technology, presenting clinicians and health care leaders with difficult and potentially very expensive choices. In the following, we outline the underlying nature of AI systems, their limitations, and the risks that their use may pose in health care and anesthesia.
may continue the long history of health care improvement enabled by the advancement of technology. 1 However, the complexity of AI systems poses questions regarding their reliability and safety in the health care context, particularly in the light of recent evidence of biases in the operation of AI systems.2 Additional concerns include uncertainty around the strengths and limitations of AI systems, and the lack of clear strategies for the safe integration of AI with existing health care technology, presenting clinicians and health care leaders with difficult and potentially very expensive choices. In the following, we outline the underlying nature of AI systems, their limitations, and the risks that their use may pose in health care and anesthesia.
Original language | English |
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Pages (from-to) | 1099-1104 |
Number of pages | 6 |
Journal | Anesthesia and Analgesia |
Volume | 140 |
Issue number | 5 |
Early online date | 19 Sept 2024 |
DOIs | |
Publication status | E-pub ahead of print - 19 Sept 2024 |