365mc Enhances Liposuction Anesthesia Safety with AI – Research Published in Leading Global Journal
365mc
Hello, this is LipoManiac 365mc! This is an Obesity specialized hospital 365mc
We are pleased to announce that the medical staff of 365mc, in collaboration with professors from Ewha Womans University, have developed an artificial intelligence (AI) model that can predict the risk of respiratory depression during liposuction procedures. This groundbreaking study was recently published in Scientific Reports, one of the world’s most prestigious scientific journals.
The joint research team analyzed 14,560 liposuction cases using machine learning techniques. The dataset included not only patients' height and weight, but also detailed body composition data obtained from InBody scans—such as muscle mass and body fat percentage.
As a result, the AI model was able to predict the risk of respiratory depression with an impressive accuracy rate of 85.6%, demonstrating its practical potential for real-world clinical application. The model also showed a sensitivity of approximately 80%, indicating its high effectiveness in identifying at-risk patients.
Key findings revealed that individuals with larger abdominal volumes, higher BMI, and older age had a greater risk of respiratory depression. Interestingly, those with smaller thigh circumference also showed an increased risk.
Dr. Jae-won Seo, Director of Daegu 365mc Hospital and co-author of the study, noted that AI alone could yield meaningful predictions—and when combined with the judgment of anesthesiology specialists, the accuracy could further improve.
Professor Woo Jae-hee from Ewha Womans University College of Medicine, Department of Anesthesiology and Pain Medicine, added that this study significantly enhances the safety of liposuction procedures and contributes to creating a more reassuring environment for patients.
This joint study included participation from:
- Prof. Kang Yoon-chul, Ewha Womans University School of Business
- Prof. Kim Jin-woo & Prof. Woo Jae-hee, Ewha Womans University College of Medicine
- Dr. Kim Ha-jin, Chair of the 365mc Medical Director Council
- Dr. Seo Jae-won, Director of Daegu 365mc Hospital
- Dr. Lee Sun-ho, Director of Global 365mc Daejeon Hospital
- Dr. Park Yoon-chan, Director of Busan 365mc Hospital
You can access the full study through the following link:
https://www.nature.com/articles/s41598-025-04505-3#citeas
Results may vary from person to person.