Redefining the Future of Neurosurgery with AI | Mr. Patrick Grover

The integration of AI into medical practice has progressed from theoretical possibility to practical implementation across numerous specialties. Yet in neurosurgery, where complex procedures require extensive training and precise execution, has been comparatively slow in adoption. This is quickly changing though as new research begins to address specific clinical challenges around surgical planning, technique analysis, and treatment decision-making, with AI integration already underway in areas such as advanced radiosurgery.

‍Mr. Patrick Grover, Consultant Neurosurgeon and Clinical Director at the Queens Square National Hospital for Neurology and Neurosurgery, is at the forefront of this transformation, leading research projects examining how AI technologies can be applied to improve surgical outcomes and training methods. Alongside this, he specializes in skull-based and vascular neurosurgery, treating conditions such as acoustic neuromas and cerebral aneurysms.

Mr. Grover's research focuses on three main areas:

1. Natural language processing for clinical note analysis
2. Computer vision applications for operative video assessment
3. Medical imaging analysis for treatment planning

This conversation explores the practical aspects of implementing AI in neurosurgical practice, including the technical challenges of training algorithms on medical data, the importance of maintaining clinical oversight, and the collaborative frameworks needed to scale research findings across multiple medical centers. Mr. Grover discusses both current applications showing clinical benefit and longer-term research directions in areas such as brain-computer interfaces and robotic surgery assistance.

The conversation provides insight into how AI research in medicine progresses from laboratory development to clinical application, highlighting both the opportunities and limitations of current technology in complex surgical specialties.