Artificial Intelligence as a "Surgical Assistant" in Britain!

A British patient underwent brain surgery that utilized an artificial intelligence system to analyze intraoperative images in real time, assisting surgeons in identifying and avoiding sensitive brain regions. This unprecedented medical step contributed to the removal of a tumor while preserving the patient’s vision.

The Syrian News Agency (SANA) reported yesterday, citing the British newspaper The Guardian, that the procedure was performed at the National Hospital for Neurology and Neurosurgery in London, which is part of University College London Hospitals. The report noted that the 48-year-old patient, Rhys Hebert, became the first person to undergo brain surgery using this technology, which had previously been used only for research purposes.

The medical team employed the system during the resection of a pituitary gland tumor. It analyzed live images from the surgical site and identified precise anatomical structures, including nerves and blood vessels, by highlighting them in different colors on the screen. This enabled surgeons to avoid vital areas near the tumor.

This level of precision is particularly critical in pituitary surgeries due to the proximity of the gland to vision-related nerves and blood vessels. Errors in handling these areas can lead to serious complications, including vision loss.

Doctors successfully removed the tumor entirely while preserving the patient’s vision. Hebert reported that upon waking from anesthesia, he could see objects clearly and regained normal mobility within a short period before returning to work.

The system was developed by researchers at University College London and trained using hundreds of recorded brain surgical procedures. Its goal was to enable the AI to recognize important anatomical structures, instruments, and tissues during surgery, thereby assisting surgeons in making precise decisions.

Researchers emphasized that the artificial intelligence did not replace surgeons but served as an assistive tool during the operation, with the medical team retaining full control over surgical procedures.

This surgery represents a new step in the application of artificial intelligence in brain operations, potentially paving the way for similar technologies to help doctors reduce the risks of complex procedures and improve outcomes. However, further clinical evaluation is needed before such technologies can be widely adopted.