TABLE 1.

Generative AI solutions: potential applications to hernia surgery, and associated risks.

Generative AI solution	Potential application to hernia surgery	Associated risks
Image synthesis	Generation of anatomical structures to simulate various hernia cases for training	Inaccurate representation might lead to misunderstanding or misinterpretation of real-life cases
Data augmentation	Enhance the dataset of hernia images, making machine learning models more robust	Over-reliance on augmented data might introduce biases or errors
Patient-specific simulation	Personalized surgical plans and simulations based on individual patient data	If not accurate, may lead to suboptimal surgical decisions
Automated report generation	Producing post-operative reports based on surgical and patient data	Generated reports might miss critical details or contain inaccuracies
Predictive analysis	Predict potential complications or outcomes post hernia surgery based on generated data patterns	False predictions might lead to wrong clinical decisions or give false assurance
Virtual surgical assistants	Generative models to suggest surgical steps or provide real-time feedback	Over-reliance might reduce surgeon’s intuition or critical thinking during surgery