SINGAPORE – A new artificial intelligence tool co-developed by Singapore General Hospital (SGH) can detect brain bleeding from scans in about six minutes, instead of the 30 minutes to an hour that radiologists at the hospital need for urgent cases.
The AI model named iScreen analyses the computed tomography (CT) scans and picks up white spots which signal bleeding in the brain, and locations of bleeding which might have more severe impact on the patient.
Acute cases may need surgery to stop the bleeding.
“Reduced reporting time can really make the difference between life and death, or between a full recovery and lasting disability,” said senior consultant Robert Chen, head of the neuroradiology department at SGH and National Neuroscience Institute.
Once the AI model flags a positive result, an SMS will be sent to both the neuroradiologist and attending doctor, said senior consultant Sarat Kumar Sanamandra, who is from the same department.
This will nudge the neuroradiologist to prioritise reviewing the AI results of that patient, ahead of all other scans in the queue.
For cases assessed to be patients with haemorrhage, the radiologist will report the case to the attending doctor.
SGH’s data on 3,475 CT brain scans in November and December 2025 showed that the sensitivity of iScreen is 93.1 per cent.
This means that 6.9 per cent of the cases flagged as positive for bleeding turned out to be false positives.
The hospital’s data also showed that the proportion of bleeding cases that took more than an hour to be reported dropped from 14.6 per cent to 5 per cent with the use of iScreen.
Sarat emphasised that the use of AI is meant to support its radiologists, rather than replace them. SGH has about 100 radiologists, of whom 21 are neuroradiologists.
The hospital deals with thousands of scans each day, of which about 50 are head CT scans, and about 10 per cent of these show signs of bleeding.
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