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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 –...
Personalised Patient Questionnaires With LLM Agentic Workflows

Personalised Patient Questionnaires With LLM Agentic Workflows

by Yoel Mittelberg | Oct 10, 2024 | Artificial Intelligence, Data Science, Technology

TL;DR Large Language Models (LLM) are used as agents to drive pre-surgery questionnaires Pre-surgery questionnaires – why do we need them? Pre-surgery questionnaires are used to collect detailed health histories before patients undergo surgical procedures. They help...
Surgical Risk Prediction with Machine Learning

Surgical Risk Prediction with Machine Learning

by Yoel Mittelberg | Oct 10, 2024 | Artificial Intelligence, Data Science, Technology

Introduction Millions of people undergo surgery each year, encountering significant risks and substantial costs, even in advanced healthcare systems.  Atidia, in collaboration with Austin Health, conducted research into the use of Machine Learning with Electronic...
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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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