Artificial intelligence (AI) is revolutionizing various aspects of health care, particularly in the surgical field, where it offers significant potential for improving surgical risk assessment, predictive analytics, and research advancement. Despite the development of numerous AI models in surgery, there remains a notable gap in understanding their specific application within the context of hernia surgery.
Purpose
This review aims to explore the evolution of AI utilization in hernia surgery over the past 2 decades, focusing on the contributions of Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), and Robotics.
Results
We discuss how these AI fields enhance surgical outcomes and advance research in the domain of hernia surgery. ML focuses on developing and training prediction models, while NLP enables seamless human-computer interaction through the use of Large Language Models (LLMs). CV assists in critical view detection, which is crucial in procedures such as inguinal hernia repair, and robotics improves minimally invasive techniques, dexterity, and precision. We examine recent evidence and the applicability of various AI models on hernia patients, considering the strengths, limitations, and future possibilities within each field.
Conclusion
By consolidating the impact of AI models on hernia surgery, this review provides insights into the potential of AI for advancing patient care and surgical techniques in this field, ultimately contributing to the ongoing evolution of surgical practice.
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