Mathilde Ripart

AI to diagnose invisible brain abnormalities in children with epilepsy A team of researchers from UCL and King’s College London has developed an AI-powered tool that can detect 64% of brain abnormalities associated with epilepsy, that were missed by human radiologists.

A team of researchers including Prof Helen Cross & Drs @mathrip.bsky.social & @sophieadlerwagstyl.bsky.social @uclpophealthsci.bsky.social has developed an AI tool that can detect 64% of brain abnormalities associated with epilepsy that were missed by human radiologists www.ucl.ac.uk/news/2025/fe...

24.02.2025 17:40 — 👍 5    🔁 5    💬 0    📌 0

5️⃣Finally, MELD Graph was a huge team effort with @konradwagstyl.bsky.social, @sophieadlerwagstyl.bsky.social, @hannahspitzer.
and our MELD consortium (@drfelicedarco.bsky.social @nathantcohen.bsky.social @metricsemma.bsky.social @kirstiejane.bsky.social @lzjwilliams.bsky.social + many others!)

25.02.2025 09:54 — 👍 5    🔁 2    💬 0    📌 1

4️⃣ MELD Graph is available open-source on our GitHub (github.com/MELDProject) and can be installed on Linux, Mac and Windows. Check out our YouTube tutorials (www.youtube.com/@MELDproject...)!

25.02.2025 09:54 — 👍 1    🔁 0    💬 1    📌 1

3️⃣ Notably, MELD Graph detected 64% of lesions previously missed by radiologists. The MELD reports below show two independent test patients with FCD that were missed by 5/5 expert radiologists.

25.02.2025 09:54 — 👍 1    🔁 0    💬 1    📌 0

2️⃣ Incorporating whole brain context significantly boosted model specificity – fewer false positives mean the positive predictive is significantly lower than a baseline Multilayer Perceptron (MLP). Also, the predictions generally look much nicer!

25.02.2025 09:54 — 👍 1    🔁 0    💬 1    📌 0

And we’ve wrapped it into one neat package.
With one command, MELD Graph processes MRI scans to create an interpretable report that highlights lesion location, describes the lesional features and shares a nicely calibrated confidence score.

25.02.2025 09:54 — 👍 1    🔁 0    💬 1    📌 0

1️⃣MELD Graph uses a graph convolutional neural network to segment FCD lesions on the cortical surface. We trained it using the Multicentre Epilepsy Lesion Detection project’s FCD cohort, with 703 epilepsy patients and 482 controls from 23 hospitals around the world.

25.02.2025 09:54 — 👍 1    🔁 0    💬 1    📌 0

Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks This study evaluates the efficacy and interpretability of graph neural networks in automatically detecting focal cortical dysplasia lesions on magnetic resonance imaging scans.

Very pleased to officially introduce MELD Graph, a novel AI tool for the detection of subtle focal cortical dysplasia (FCD) lesions in epilepsy patients.

Check out our paper published in JAMA Neurology yesterday! 😀https://jamanetwork.com/journals/jamaneurology/fullarticle/2830410

25.02.2025 09:54 — 👍 16    🔁 7    💬 1    📌 3