Briefing

NEWS BRIEFING: Advanced AI tool detects tiny brain lesions in children with epilepsy

Publicly released:
Australia; VIC
Photo by Milad Fakurian on Unsplash
Photo by Milad Fakurian on Unsplash

*** RECORDING NOW AVAILABLE*** Melbourne researchers have created an advanced AI-based tool that can detect tiny brain lesions, a cause of severe epilepsy in children, allowing faster diagnosis and more precise treatment. Developed by Aussie researchers, the ‘AI epilepsy detective’ can find lesions (focal cortical dysplasias), the size of a blueberry, in up to 94 per cent of cases with the support of medical imaging. The study involved 71 kids and 23 adults with cortical dysplasia and focal epilepsy, which causes recurring seizures. Before using the AI detector, the team found 80% of patients had their diagnosis missed by human examination of their MRI results. The researchers say a more accurate diagnosis would lead to faster referrals for epilepsy surgery, fewer seizures and improved long-term developmental outcomes. With additional funding, they could further test the epilepsy detector in paediatric hospitals across Australia. Join this online briefing to hear from the team.

Media release

From: Murdoch Children's Research Institute (MCRI)

The briefing has now ended.

Speakers:

  • Dr Emma Macdonald-Laurs is a Postdoctoral researcher in the Neurosciences Group at Murdoch Children's Research Institute (MCRI); and a Neurologist and Epileptologist at the Royal Children's Hospital
  • Dr Sila Genc is from the Developmental Imaging Group at Murdoch Children's Research Institute (MCRI) and the Department of Neurosurgery at The Royal Children's Hospital.
  • During the Q&A, we will also have Spiros and his 11-year-old son John available to talk about their experiences participating in the study.

Date: Mon 29 Sept 2025
Start Time: 10:00am AEST
Duration: Approx 45 min 
Venue: Online - Zoom

Briefings are free to attend, but if you like what we do, you can donate to the Australian Science Media Centre here

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Advanced AI tool detects tiny brain lesions in children with epilepsy

Research at a Glance:

  • Melbourne researchers have created an advanced AI-based tool that can detect tiny brain lesions, a cause of severe epilepsy in children, allowing faster diagnosis, more precise treatment and a potential cure
  • Developed by MCRI researchers, the ‘AI epilepsy detective’ can find lesions (focal cortical dysplasias), the size of a blueberry, in up to 94 per cent of cases with the support of medical imaging
  • The researchers said a more accurate diagnosis would lead to faster referrals for epilepsy surgery, fewer seizures and improved long-term developmental outcomes. With additional funding they could further test the epilepsy detector in paediatric hospitals across Australia

An advanced AI tool can detect tiny brain lesions that cause severe epilepsy in children, allowing faster diagnosis, more precise treatment and a potential cure, according to a new study.

Developed by a team at Murdoch Children’s Research Institute (MCRI) and The Royal Children’s Hospital (RCH), the ‘AI epilepsy detective’ can find lesions (focal cortical dysplasias) the size of a blueberry, in up to 94 per cent of cases with the support of medical imaging.

MCRI’s Dr Emma Macdonald-Laurs, a RCH neurologist, who led the team that created the detector, said more accurate diagnosis of cortical dysplasia would lead to faster referrals for epilepsy surgery, fewer seizures and improved long-term developmental outcomes.

“Identifying the cause early lets us tailor treatment options and helps neurosurgeons plan and navigate surgery,” she said. “With more accurate imaging, neurosurgeons can develop a safer surgical roadmap to avoid important blood vessels and brain regions that control speech, thinking and movement and removing healthy brain tissue. Children also avoid the need to have to undergo invasive testing.”

Published in Epilepsia, the MCRI led study involved 71 children at the RCH and 23 adults at the Austin Hospital with cortical dysplasia and focal epilepsy, which causes recurring seizures. Before using the AI detector’s keen eye, the study found 80 per cent of patients had their diagnosis missed by human examination of their MRI results.

MRI and FDG-positron emission tomography (FDG-PET scans) were used to train the detector, with children separated into training and test cohorts. A separate group of adult scans were used for additional validation of the detector’s performance.

Using information from both MRI and PET scans, the best result was recorded in the test cohort with a success rate of 94 per cent. Of the 17 children in the test group, 12 had surgery and 11 are now seizure free.

About one in 200 children has epilepsy, with more than 21,000 children in Victoria living with uncontrolled seizures. Cortical dysplasias, which develop when the baby is still in the womb, are a common cause of drug-resistant seizures.

“The seizures usually start out of the blue during the preschool or early school years before escalating to multiple times a day,” Dr Macdonald-Laurs said.

“Children often need to attend the emergency department or be admitted to hospital for treatment. Over time, frequent seizures impact on a child’s behaviour, mood and ability to learn.

“Epilepsy due to cortical dysplasia can, however, be improved or cured with epilepsy surgery if the abnormal brain tissue can be located and removed.”

But Dr Macdonald-Laurs said cortical dysplasias were hard to spot on routine MRIs, with less than half being recognised on a child’s first scan.

“Cortical dysplasias can be impossible for traditional MRI techniques to identify,” she said. “Failure to locate the abnormal tissue slows the pathway to a definitive diagnosis and may stop a child being referred for potentially curative epilepsy surgery.

“The longer a child continues to have uncontrolled seizures, the more likely they are to develop learning difficulties, including intellectual disability.”

Dr Macdonald-Laurs said with additional funding the team could test the detector in paediatric hospitals across Australia.

Royal, 5, successfully underwent surgery after scans, aided by the detector, identified a cortical dysplasia.

Mum Gurjinder said he went from having multiple seizures a day to now being seizure free following the procedure.

“The seizures started to become increasingly frequent, from a couple a day to one every half an hour, until they started to appear in clusters,” she said. “The worst being 19 seizures within just two hours. Every time Royal’s whole body would freeze for at least a minute and as the days went on, he lost his appetite.”

Gurjinder said after Royal experienced a longer seizure, causing a heavy nosebleed, he was rushed to the local hospital where he was given antiseizure medications. But with those failing to help and an MRI unable to provide answers, Royal was transferred to the RCH where the cortical dysplasia, was located and removed.

“The whole ordeal took a huge toll on our family and we were struggling mentally,” Gurjinder said. “We were so lucky that we quickly picked up that something was wrong because young children can’t always explain what they are going through.

“Without the assistance of the detector, it would have taken so much longer to achieve a diagnosis and Royal’s health would have continued to deteriorate. We are so thankful that Royal is now back to his calm, friendly, patient self.”

Researchers from The Royal Children’s Hospital, the University of Melbourne, Florey Institute of Neuroscience and Mental Health, Harvard Medical School and the Austin Hospital also contributed to the study.

Publication: Emma Macdonald-Laurs, Aaron E.L. Warren, Remika Mito, Sila Genc, Bonnie Alexander, Sarah Barton, Joseph Yuan-Mou Yang, Peter Francis, Heath R. Pardoe, Graeme Jackson and A. Simon Harvey. ‘Automated detection of bottom-of-sulcus dysplasia on MRI-PET in patients with drug-resistant focal epilepsy,’ Epilepsia.

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Journal/
conference:
Epilepsia
Research:Paper
Organisation/s: Murdoch Children's Research Institute (MCRI), The University of Melbourne, Florey Institute of Neuroscience and Mental Health
Funder: EML is supported by the Clifford Family PhD scholarship, the RTP PhD scholarship, the Australia New Zealand Child Neurology Society Kate Sinclair Memorial scholarship and the Melbourne Children’s Campus Clinician Scientist Fellowship. JYMY is supported by The Royal Children’s Hospital Foundation (RCHF 2022-1402), and The Kid’s Cancer Project (TKCP) Col Reynolds Fellowship. BA and SG are supported by The Royal Children’s Hospital Foundation (RCHF 2022-1402). RM is supported by an Australian Research Council Discovery Early Career Researcher Award (project number DE240101035). RM, HRP and GJ were supported by the Australian Epilepsy Project which received funding from the Federal Government under the Medical Research Future Fund (Frontier Health and Medical Research Program - Grant Number RFRHPSI000008).
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