Thinking on Intelligent Multimodal Human-Computer Interaction Driving Neurosurgical Research and Teaching
Abstract：In recent years, the demand for research learning among students has been increasing, and traditional research teaching models can no longer address the challenges faced by postgraduate students in their research studies. With the development of science and technology, advances in human-computer interaction technology have opened up new ideas and methods for neurosurgical research and teaching. Among them, the combined application of human-computer interaction technology with artificial intelligence technology and virtual human interaction has a positive significance in improving the level of neurosurgical research and teaching. This article analyzes the current status of research capabilities of neurosurgery graduate students and proposes that, based on the use of intelligent multimodal human-computer interaction technology, the following three aspects can be used to improve the level of neurosurgical research and teaching: enhancing experimental skills in virtual laboratories, personalized tutoring through intelligent online education, and integrating clinical skills with research capabilities. Our team believes that only by organically combining 'clinical' and 'research' under the assistance of intelligent multimodal human-computer interaction technology can we better master the thinking of neurosurgical research.
Keywords：Multimodal Human-Computer InteractionArtificial IntelligenceNeurosurgeryEducationMedicine
Publication Date：2025-01-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 59-62 )