Deep Learning-Augmented Preoperative Planning: Computational Approaches to Surgical Precision and Perioperative Outcome Optimization

Authors

  • Katarzyna Szymkowiak Professor of Computer Science, Poznań University of Technology

Keywords:

deep learning-augmented preoperative planning, computational approaches to surgical precision, perioperative outcome optimization, machine learning

Abstract

Artificial intelligence (AI) can play a pivotal role in enhancing the surgical workflow, from planning to execution. The major benefits of involving AI in these steps include an increase in the precision and accuracy of surgical tasks and the potential to provide personalized surgical solutions. AI technology can also offer assistance during surgical procedures and supply real-time, relevant information about the patient's tissue status, the margin of resection, and more.

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Published

31-12-2024

How to Cite

[1]
“Deep Learning-Augmented Preoperative Planning: Computational Approaches to Surgical Precision and Perioperative Outcome Optimization”, Adv. in Deep Learning Techniques, vol. 4, no. 2, pp. 29–36, Dec. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/adlt/article/view/764