Robots

Machine learning

Advancements in Nano-Manipulation Technologies: From Manual to Autonomous Control

Researchers have made significant progress in nano-manipulation technologies since Richard Feynman's vision of atomically precise manufacturing. Three foundational pillars have enabled these advancements: observation, construction, and manipulation. Key platforms include scanning tunneling microscopy (STM), atomic force microscopy (AFM), optical tweezers, and scanning electron microscopy (SEM). The SEM, in

Machine learning

Predicting Biochemical Recurrence After Robot-Assisted Prostatectomy with Interpretable Machine Learning Model

A recent study published in the Journal of Clinical Medicine has reported the development and evaluation of machine learning models to predict biochemical recurrence after robot-assisted radical prostatectomy. The research aims to improve the accuracy of prostate cancer treatment outcomes by leveraging machine learning algorithms and clinical data from 1125

Artificial intelligence

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

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