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Causal Machine Learning in Surgery: From Theory to Practice

by Gideon Kowadlo | Dec 2, 2024 | Artificial Intelligence, Data Science, Technology

Following on from our blog on why causal thinking really matters in healthcare, we’re going to dive into some practical examples. Causal Machine Learning (Causal ML) is starting to gain adoption in many fields, and its application in healthcare, in particular surgery,...

Causal ML in Healthcare: Beyond Prediction to Prevention

by Gideon Kowadlo | Nov 25, 2024 | Artificial Intelligence, Data Science, Technology

Every day, surgical departments face critical decisions that impact patient lives. Imagine a scenario: A hospital’s AI system predicts higher complications for morning surgeries, leading administrators to recommend moving all complex procedures to afternoon...

Examples of open health data

by Gideon Kowadlo | Oct 23, 2024 | Artificial Intelligence, Data Science, Technology

I recently blogged about the urgent need for easily accessible, large public healthcare datasets here. I’m happy to follow up with a few fantastic examples of relatively open data. Thanks to Sander Boelders for sending some examples to me. If you know any good...
The pressing need for large-scale public health data

The pressing need for large-scale public health data

by Gideon Kowadlo | Oct 11, 2024 | Artificial Intelligence, Data Science, Technology

Jaw-dropping AI demos are now commonplace. We should all feel excited about the translation of those capabilities to health applications, but can we reasonably expect that to happen? I strongly believe that a key ingredient is availability of large public datasets –...

Recent Posts

  • Causal Machine Learning in Surgery: From Theory to Practice
  • Causal ML in Healthcare: Beyond Prediction to Prevention
  • Examples of open health data
  • The pressing need for large-scale public health data
  • Personalised Patient Questionnaires With LLM Agentic Workflows

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