Global movements in infants

At the R2P2 unit at Garches hospital (https://uniter2p2.fr/), we are heavily involved in developing systems for analysing spontaneous movements in babies.

In a recent article (A. Taleb, P. Rambaud, S. Diop, R. Fauches, J. Tomasik, F. Jouen, J. Bergounioux. “Spinal Muscular Amyotrophy detection using computer vision and artificial intelligence.” in JAMA Pediatrics, 2024), we developed a video-based AI system. It's a semi-supervised system. But as is often the case, these neural networks don't clearly explain how they make their classification decisions. So we added a SHAP module (https://shap.readthedocs.io/en/latest/) that explained how the network made its decision to distinguish normal motor skills from those of babies with spinal muscular atrophy.  The result is brilliant. This neural network behaves like a human expert: it tells us that it was the absence of lower-limb movements in SMA babies that was its decision-making factor. That's great, because it's clinically consistent! 

Thank you to all the students who took part in this wonderful project.