Clinical Research Directory

Five Multimodal AI Configurations Versus Expert Anaesthesiologists for Classifying Pecto-Intercostal Fascial Plane Block Spread in CABG

Sponsor: Bursa Yuksek Ihtisas Training and Research Hospital

Summary

This prospective observational cohort with a nested archived-image reader study compared the sonographic pecto-intercostal fascial plane block classifications of five general-purpose multimodal artificial-intelligence configurations and three expert anaesthesiologists against a separate senior anaesthesiologist's single-expert reference. Adults undergoing elective isolated coronary artery bypass grafting through median sternotomy were enrolled consecutively on days when the consultant anaesthesiologist responsible for block performance and ultrasound acquisition was available. Standardised left-sided ultrasound videos were recorded in 120 consented participants. Bilateral pecto-intercostal fascial plane block was performed in 115 participants; five participants who declined the block consented to standardised ultrasound imaging and served as no-block image controls. Eight to ten representative de-identified frames from each video were assessed independently by all readers. Associations between reference-defined sonographic spread and postoperative pain were secondary and observational.

Official title: AI-Assisted Evaluation of Anatomical Success of Fascial Plane Blocks Applied in Open Heart Surgery and Investigation of Its Relationship With Postoperative Pain Scores: A Prospective Observational Study

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