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CardioAI: Automated Medical Diagnosis from MRI and Patient Data Using Deep Learning with Ivo Everts

1,337 views · Published 12 October 2018 · 32:23 · Indexed 14 November 2026

Channel: Databricks · 2018 · Science & Technology

In order to alleviate medical staff from time consuming manual labour, GoDataDriven and the cardiovascular department of the University Medical Center Groningen teamed up, to apply deep learning to MRI data for automated inpainting of the left- and right- heart chambers and the heart muscle. The deformation of the heart regions during a heart beat is indicative for deciding for a pacemaker, or assessing the outcome of medicine usage. Automating the image segmentation task and the extraction of characteristic metrics of the heart function would therefore be extremely useful. We have implemented the deep U-net model that is used for image segmentation in Python and Keras, and deployed this in an API on Google Cloud Platform for large-scale usage. This work is part of a new ongoing initiative from GoDataDriven called 'Medicx.ai,' with which we strive to accelerate the data-driven way of working in the healthcare industry.

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CardioAI: Automated Medical Diagnosis from MRI and Patient Data Using Deep Learning with Ivo Everts

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