Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial,British Journal of Anaesthesia

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Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial
British Journal of Anaesthesia ( IF 9.1 ) Pub Date : 2024-09-10 , DOI: 10.1016/j.bja.2024.08.004
Bradley A. Fritz , Christopher R. King , Mohamed Abdelhack , Yixin Chen , Alex Kronzer , Joanna Abraham , Sandhya Tripathi , Arbi Ben Abdallah , Thomas Kannampallil , Thaddeus P. Budelier , Daniel Helsten , Arianna Montes de Oca , Divya Mehta , Pratyush Sontha , Omokhaye Higo , Paul Kerby , Stephen H. Gregory , Troy S. Wildes , Michael S. Avidan

Anaesthesiologists might be able to mitigate risk if they know which patients are at greatest risk for postoperative complications. This trial examined the impact of machine learning models on clinician risk assessment.

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