Lekaashree Rambabu
@lekaa-shree.bsky.social
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NIHR Academic Clinical Fellow and CT3 in Anaesthetics
Healthcare data is vulnerable to biases. Working with
@acceleratescience.bsky.social
and
@clairecoffey.bsky.social
, we are building an open source educational resource hub to mitigate algorithmic bias. Read the blog post below to find out more!
add a skeleton here at some point
8 months ago
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reposted by
Lekaashree Rambabu
Claire Coffey
8 months ago
Excited to share this blog by my fab collaborator
@lekaa-shree.bsky.social
on tackling dataset scarcity & algorithmic bias in healthcare AI 🌍🧠 We're building an open-source hub of bias mitigation resources with
@acceleratescience.bsky.social
- stay tuned!👀 📖
science.ai.cam.ac.uk/machine-lear...
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How can we … address dataset scarcity challenges and mitigate algorithmic bias to build better AI healthcare tools?
Artificial Intelligence models are only as fair as the data on which they are trained. They are vulnerable to biases in training data, often reflecting deep-rooted systemic inequalities, human prejudi...
https://science.ai.cam.ac.uk/machine-learning/2025/03/31/how-can-we-address-dataset-scarcity-challenges-and-mitigate-algorithmic-bias-to-build-better-ai-healthcare-tools
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