A New Era in Brain Surgery: How AI Helped Restore Patient’s Vision

In a groundbreaking medical achievement, a man in England has become the first patient to undergo live AI-assisted brain surgery, which protected his sight during the removal of a brain tumour. The procedure marks a watershed moment in surgical innovation, demonstrating how artificial intelligence can work alongside human expertise to improve outcomes in some of medicine’s most delicate procedures.

Rhys Hibbert, a 48-year-old from Bedfordshire, was diagnosed in December 2024 when he collapsed during a walk and suffered a seizure. His condition gradually worsened, and as symptoms progressed, he faced a critical decision. According to Hibbert’s doctors, the tumour would have continued to threaten his sight and could ultimately have led to blindness. Rather than accept this trajectory, Hibbert chose surgery and became the first patient to volunteer for this experimental technology.

The operation, which took place in May at the National Hospital for Neurology and Neurosurgery (NHNN), which forms part of University College London Hospitals NHS Foundation Trust, was performed by a surgical team led by experienced neurosurgeons. What made this procedure unique was not that AI performed the surgery—surgeons maintained full control throughout—but rather how artificial intelligence provided real-time guidance during an extraordinarily complex procedure.

The challenge of pituitary gland surgery is truly formidable. In this part of the brain, the pituitary gland—which is the size of a marble—sits tightly near blood vessels and nerves controlling vision. A margin of error of just a millimetre can prove critical, potentially leading to death, blindness or stroke. This is where the AI system proved invaluable. During the surgery, the AI analysed the live surgical video feed in real time, rather than using pre-surgery scans, helping the surgical team make more precise decisions by highlighting critical structures at the base of the brain.

The AI system was developed at the UCL Hawkes Institute, a multidisciplinary research group at UCL focused on advancing healthcare technologies. Researchers trained and evaluated the system using a large collection of annotated endoscopic pituitary surgery videos from previous operations. This extensive training on hundreds of surgical videos allowed the system to “see” what human eyes alone could not easily distinguish during live surgery.

The results speak for themselves. The operation successfully removed the growth and protected his vision. Beyond the immediate medical success, Hibbert’s recovery was remarkable. His description of the outcome—that he could suddenly see clearly—demonstrates the tangible human impact of this technological breakthrough. “For 18 years of married life I’ve always got out of bed and made my wife a cup of coffee,” Hibbert said, “and I wasn’t going to let this tumour stop that.”

The significance of this achievement extends far beyond one patient’s successful surgery. Hibbert’s operation represents a shift in how artificial intelligence could be used in medicine. Instead of simply helping doctors interpret information before treatment, AI is beginning to move into the operating room itself—where decisions must be made in seconds and where anatomy can change as surgery progresses.

It is important to note that the fact that an AI system can identify structures in surgical video does not automatically mean it can improve patient outcomes. Researchers will need to demonstrate that using it actually reduces complications, improves tumor removal or produces other meaningful benefits. Nevertheless, this first successful case has opened a compelling new chapter in surgical innovation.

As medicine continues to advance, the partnership between human expertise and artificial intelligence appears increasingly promising. Hibbert’s case demonstrates that when designed thoughtfully and implemented carefully, AI can serve as an expert assistant in the operating room, helping surgeons navigate the brain’s most delicate structures while keeping the surgeon firmly in control of every decision. For patients facing rare and complex conditions, this represents a profound hope for better outcomes and restored quality of life.