Resources
Research notes, case studies and science explainers from a decade of applied artificial intelligence in healthcare.
This study aims to analyze the causes of disruptions in pre-operative follow-up, identify the profiles of patients at risk and measure the economic impact of disruptions.
Read moreFollowing initial hospitalization, re-admissions for pulmonary pathologies are among the conditions that generate the most readmission and consequently lead to additional expenditure on social…
Read moreTo reduce errors and better understand the predictions made by AI, the explicability of AI models (XAI for "eXplainable AI") has emerged as a research field.
Read moreAutomatic image analysis has seen its performance grow strongly in recent years. These recent advances improve the construction of predictive imaging models, increasing their reliability
Read moreFaced with this health crisis, it was natural for Kaduceo to make our expertise available to hospitals. Adapting some of our predictive and indicator models to allow hospitals to have overall…
Read moreThe study of hospital readmission could contribute to the improvement of care paths but the subject is quite complex. The different models in the literature are difficult to compare. To predict the…
Read moreOur journey design begins with the first recording of a patient for a reason in a healthcare facility until the last event of their management: Time sequence of all care events occurring during…
Read moreFrom examples where each image is associated with a category, the so-called Machine Learning models learn to identify patterns specific to the observations of the same category, with the aim of…
Read moreLung Cancer: Analyze the profile and health care facility transitions of patients with lung cancer to infer elements that characterize early death
Read morePathway Comparison: Physicians Would Like to Learn from Muco Patient Management to Enrich PCD Patient Management
Read moreThe main challenge is to be able to provide forecasts that are reliable enough to alert hospitals in the event of a peak of activity. We are looking to propose a tool that can give visibility to the…
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