Operating Room
Operating rooms are increasingly the focus of research aimed at improving surgical workflow, patient safety, and overall efficiency. Current research emphasizes the application of computer vision, deep learning (including convolutional neural networks and U-Net architectures), and multimodal data fusion (combining video, sensor, and physiological data) to automate tasks such as instrument tracking, activity recognition, and cognitive workload assessment. These advancements hold significant promise for optimizing surgical procedures, enhancing training, and improving patient outcomes through improved situation awareness and real-time assistance.
Papers
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning
Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, Tochukwu Onyeogulu, Amirul Islam, Salman Khan, Izzeddin Teeti, James Kinross, Daniel R Leff, Fabio Cuzzolin, George Mylonas
Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room
Tochukwu Onyeogulu, Salman Khan, Izzeddin Teeti, Amirul Islam, Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, George Mylonas, Fabio Cuzzolin