Ai assists surgeons in world-first brain tumor operation

Monday 31 August 2026 - 14:21

By: Azzat Manal

Ai assists surgeons in world-first brain tumor operation

A team of British surgeons has reportedly used artificial intelligence during a brain tumor operation in what has been described as a world-first application of the technology on a patient.

The procedure was performed in May at the National Hospital for Neurology and Neurosurgery in London on 48-year-old Rhys Hebert from Bedfordshire. Surgeons removed a tumor located in the pituitary gland, an area of the brain where critical blood vessels and nerves are positioned extremely close to one another.

The technology was developed by researchers from University College London and other British academic institutions. It uses artificial intelligence to analyze live images captured by cameras in the operating room and identify delicate anatomical structures through a color-coded visual system.

By assigning different colors to tissues and neurological structures, the system is designed to give surgeons a clearer view of the anatomy they are working around. This can be particularly valuable during procedures involving the pituitary gland, where damage to nearby structures can have serious consequences, including vision loss.

The hospital had previously used the technology for research purposes, but the operation marked its first reported use as an intraoperative tool on a real patient. The artificial intelligence system had been trained using hundreds of recorded brain-surgery videos to help it recognize and distinguish different structures.

In Hebert's case, surgeons were able to remove the tumor while protecting the structures responsible for vision. The patient said the operation helped preserve his eyesight and has since returned to his professional and community activities.

The development is part of a broader effort by British medical researchers to explore how artificial intelligence can support surgeons during complex procedures. Rather than replacing doctors, these systems are designed to provide additional visual information and help medical teams make more precise decisions during surgery.

Similar technology is also being explored in other surgical fields. At another British hospital, an artificial intelligence system has been tested to identify and color different types of tissue during operations, allowing surgeons to distinguish nerves, connective tissue and other anatomical structures more easily.

The growing use of artificial intelligence in operating rooms could eventually improve the precision and safety of highly complex procedures. However, wider adoption will require further clinical evaluation, validation and careful monitoring to establish how reliably these systems perform in different medical situations.

The reported brain surgery nevertheless represents an important step in the development of AI-assisted medicine, highlighting the potential of advanced image analysis to support surgeons when operating in areas where even very small errors can have serious consequences.