Artificial intelligence technology and machine learning techniques are rapidly invoking their presence in healthcare. In clinical medicine, AI is already utilized in clinical diagnosis, risk stratification, treatment selection and patient monitoring. Additionally, biomedical research now exploits AI technology and leverages its unique advantages. Authors in this issue explored current physician anesthesiologists’ attitudes towards the progress and use of AI in anesthetic practice. A cross-sectional survey of anesthesiologists was conducted and a summary of their findings is illustrated in this infographic. Several factors such as male gender, work experience greater than 20 years and familiarity with AI were associated with positive attitudes towards this technology. Understanding clinicians’ perspectives on AI is crucial to its thoughtful adoption in clinical practice. The reader is strongly encouraged to review the cited article for a more thorough understanding of the illustrated concepts.
1. Estrada Alamo CE, Diatta F, Monsell SE, Lane-Fall MB. Artificial intelligence in anesthetic care: a survey of physician anesthesiologists. Anesth Analg. 2024;138:938–50.
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