Cardiology/Cardiovascular Surgery

Comprehensive Summary

The study by Mank et al. investigates the contributions that AI has made to maximize efficiency for preoperative planning prior to cardiothoracic surgeries. The research team organized a review of previously published articles about AI’s role in preoperative cardiothoracic surgery. Out of the selected articles, the researchers classified them based on the type of cardiothoracic procedures. This study emphasizes the most significant AI applications to a wide variety of cardiothoracic procedures (aortic surgery/intervention, mitral valve surgery/intervention). Specifically, AI has increased the accuracy in segmentation of anatomical structures, decreased preoperative planning time, and allowed for the automation of essential surgical preparation steps (tumor detection, TAVI prosthesis sizing). While AI has had positive influences on the efficiency of preoperative planning, the issue of cost and ease of integration into actual clinic practices is to be recognized. The author suggested further research to further consider cost-effective solutions while still maximizing benefits and accessibility.

Outcomes and Implications

The use of A.I in preoperative planning for cardiothoracic procedures is of rising importance as it enhances segmentation accuracy, improves the speed of preoperative planning steps, and provides the ability to automate necessary preoperative steps. While AI has benefitted the field of cardiothoracic surgery, additional research can further optimize cost-effectiveness and sustainability.

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© 2025 AIIM. Created by AIIM IT Team