The world’s first patient to have brain surgery with live artificial intelligence assistance has successfully had his tumour removed.
Rhys Hibbert, a father-of-two from Bedfordshire, could have lost his sight without the operation, said surgeons at University College London Hospital.
The AI tool analysed a video feed of the operation as it happened and advised surgeons on how to avoid crucial but hidden vessels and nerves in the brain. It allowed them to safely remove as much of the tumour as possible.
“From a patient safety perspective, I can see absolutely the benefit. There are no road signs inside our head,” said Hibbert.
Until 18 months ago, 48-year-old Hibbert, a customer services manager, was fit and healthy, going on a two-mile walk every lunchtime.
It was on one of these walks that he fell unconscious and started fitting in the road.
A brain scan revealed he had an 11mm (0.433in) non-cancerous tumour growing on the pituitary gland – a marble-sized organ at the base of the skull.
The gland secretes vital hormones that help with processes like growth, metabolism and regulating blood pressure and temperature.
Crucially it sits very close to the carotid arteries which are vital vessels that supply blood to the brain, and the optic nerves that control vision.
As Hibbert’s tumour began to press on his optic nerves, it narrowed his peripheral vision.
Severely fatigued and dizzy
Although he didn’t need surgery straight away Hibbert started to trip over things and felt severely fatigued and dizzy.
“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.”
He said the biggest impacts for him were emotional and psychological.
“Though I had a lot of people kindly offering help, you don’t want to be a burden on people,” he added.
When surgeons gave him the option to be the first person to try the operation with their bespoke AI tool involved, he didn’t hesitate.
“If patients are not prepared to join research how can doctors ever learn and how can medicine ever progress?” he said.
The surgery involved inserting an endoscope – a thin camera on a stick – via the nose to the base of the skull.
At this point the tumour was close but hidden behind layers of bone and tough membrane.
Identifying the safest place to extract it was not straightforward, particularly as anatomy tends to differ between individuals.
Complication rates vary but there was a 25–50% chance of not getting the whole tumour out and a 0.5–2% chance of injuring a major blood vessel.
This is where the AI tool came in.
‘Surgical ChatGPT’
On a second screen it analysed the live video feed,, tracked the surgical instruments, and marked up areas where the vessels and nerves were most likely to be, highlighting areas where it is safest to remove the tumour.
Source: BBC
