Real-time AI-based Detection of Excessive Traction on Recurrent Laryngeal Nerve During Robot-Assisted Minimally Invasive Esophagectomy

Strategic Insights -

In a groundbreaking study, researchers at Keio University School of Medicine in Tokyo, Japan, have developed a novel artificial intelligence system that can detect excessive traction on the recurrent laryngeal nerve during robot-assisted minimally invasive esophagectomy (RAMIE) in real-time. The system uses video frames from previous surgeries to identify visual indicators of nerve tension, enabling surgeons to adjust their technique before irreversible nerve damage occurs. The study's findings have been published in the International Journal of Surgery.

Key Takeaways:

  • The researchers developed an AI system that can detect excessive traction on the recurrent laryngeal nerve during RAMIE with an accuracy of 84.4%.
  • The system uses video frames from previous surgeries to identify visual indicators of nerve tension, enabling surgeons to adjust their technique before irreversible nerve damage occurs.
  • The AI system quantifies the probability of excessive traction in real-time as an excessive traction risk (ETR), which is displayed on the surgical video.
  • The study involved 130 RAMIE patients and 10 surgical patients who were used to test the AI system.
  • The AI system accurately detected excessive traction earlier than the decrease in the nerve integrity monitor (NIM) amplitude in a representative patient.
  • The researchers concluded that the AI system can provide real-time proactive feedback to surgeons, enabling earlier recognition of hazardous traction and potentially reducing the risk of nerve damage.

Statistics:

  • 84.4% accuracy in detecting excessive traction on the recurrent laryngeal nerve during RAMIE.
  • 10 surgical patients were used to test the AI system.
  • 130 RAMIE patients were used to develop the AI system.
  • 1 representative patient showed earlier detection of excessive traction by the AI system than the NIM amplitude.

Sources:

  • International Journal of Surgery (2025), 111(10):7336-7340.
  • NewsRx. New Esophagectomy Study Findings Reported from Keio University School of Medicine (Real-time AI-based detection of excessive traction on the recurrent laryngeal nerve during robot-assisted minimally invasive esophagectomy: a proof-of-concept ...). Medical Devices & Surgical Technology Week. November 2, 2025; p 803.