Philips and MIT IMES Develop Enhanced Critical Care Data Set for AI in Healthcare

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In order to advance machine learning and artificial intelligence in healthcare, Royal Philips announced a collaboration with Institute for Medical Engineering and Science (IMES).

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De-identified data from 200,000 critical care patients, including those affected by COVID-19, are included in the revised eICU Collaborative Research Database (eICU-CRD).

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The creation of solutions that enhance patient care and clinical outcomes will be aided by the larger and more clinically reliable data collection.

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Comprehensive information on patient therapies, comorbidities, readmissions, and clinical outcomes is provided by the dataset.

Image source: Canva



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Produced by: Sahil Pawar Designed by: Prathamesh