The invention discloses a surgical skill training
system based on AI visual judgment, and relates to the technical field of surgical skill training and evaluation, and the
system comprises a high-precision
visual perception module which employs an instance segmentation
algorithm based on
deep learning, supports the
millisecond-level recognition of 15 types of common surgical instruments, and provides a high-precision
visual perception module. The output parameters comprise three-dimensional space coordinates, an instrument opening and closing angle and a tissue contact state; identifying different tissue types through multispectral imaging, detecting tissue abnormal change in real time, positioning a bleeding point, calculating traction deformation, and marking a
thermal damage area; the operation behavior analysis module is used for performing action atomization
processing, decomposing
continuous operation into 200 + type basic action units, and establishing an action
relation graph by adopting a space-time convolutional network; identifying an operation stage, and defining a standardized process node of a typical operation; and judging the current stage through the LSTM
time sequence model. According to the invention, the efficiency and effect of
surgical training are improved.