Artificial Intelligence-Driven Blood Loss Prediction in Large-Volume Liposuction: Enhancing Precision and Patient...

Area of Science:

• Plastic Surgery
• Medical Artificial Intelligence
• Surgical Safety

Background:

• Liposuction is a common procedure with a 5% complication rate, including fatal blood loss.
• Artificial intelligence (AI) can analyze patient data to predict blood loss and identify risk factors.
• AI models offer a potential solution for improving blood loss prediction in liposuction.

Purpose of the Study:

• To develop and validate an AI model for predicting blood loss during large-volume liposuction.
• To assess the accuracy and reliability of AI in estimating blood loss in liposuction patients.
• To enhance preoperative planning and intraoperative management for liposuction procedures.

Main Methods:

• A supervised machine learning model was trained using data from 721 large-volume liposuction patients.
• Data were collected from two centers in Colombia and Ecuador between 2019 and 2023.
• The model's predictions were statistically validated against clinical data.

Main Results:

• The AI model demonstrated high predictive accuracy with a mean absolute error of 22.09 mL and R² of 0.974.
• The model achieved 94.1% accuracy in predicting blood loss.
• No significant differences were observed between the training and testing data cohorts.

Conclusions:

• An accurate AI-based model for predicting blood loss in large-volume liposuction has been developed and validated.
• This AI model can improve preoperative planning and intraoperative management.
• The use of AI in liposuction has the potential to reduce complications and enhance patient outcomes.