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,...
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...
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...
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 –...
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...
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...
