Key result
AI promises to transform perioperative medicine into preventative and personalized practice if challenges are met.
Why the study?
Despite high expectations and growing academic productivity, the clinical impact of artificial intelligence in healthcare and perioperative medicine remains relatively limited due to implementation challenges.
AI has the potential to profoundly transform perioperative medicine to become more preventative and personalized, provided implementation and maintenance challenges are addressed.
Does not yet support routine AI adoption in perioperative care; leaves open needs for prospective validation and regulatory frameworks.
Over the past decade, artificial intelligence (AI) has largely penetrated our daily life. Hence, our expectations regarding clinical AI are very high. However, in healthcare and especially in perioperative medicine, the impact of AI is still relatively limited. This is in contrast with an exponential increase in the academic investment and productivity in this field of data science. Implementation challenges are numerous, including technological and regulatory challenges. In addition, the clinical and economic impact of deploying clinical AI at scale is still lacking. However, if these implementation challenges are properly addressed, the potential of AI to profoundly transform our practice is real. If successfully implemented and integrated into the clinical workflow, AI-assisted perioperative medicine could become more preventative and personalized. However, AI implementation is not the final step. New challenges will follow implementation including algorithm maintenance, continuous monitoring, and improvement.
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Romain Pirracchio (2022) conducted a review in Perioperative medicine and anesthesia. Artificial intelligence and machine learning was evaluated. Artificial intelligence has the potential to profoundly transform perioperative medicine into a more preventative and personalized practice, provided implementation and regulatory challenges are met.
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