Publications
Our Latest Publications

Mathematical Implementation of RNN Encoder-Decoder for Neural Machine Translation
Technical deep dive into RNN encoder-decoder architecture for Neural Machine Translation with Word2Vec.
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How Neural Networks Learned to Translate - Even Before Attention Was Born
Transformers revolutionized machine translation, but did you know neural networks were already learning to translate long before attention mechanisms? Discover the fascinating hist...
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Aligning Algorithmic Decision-Making to Patient Values and Welfare
As AI takes on clinical decisions, a vital question emerges: can these systems truly reflect human ethics, patient values, and medical priorities—or will they quietly drift from ou...
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Evaluating the Real-World Impact & Effectiveness of AI in Healthcare: Part 2
Discover the 4 essential pillars to evaluate Health AI in real-world settings—ensuring it's not just accurate, but equitable, context-aware, and truly impactful for patients and he...
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Evaluating the real-world impact & effectiveness of Health AI
AI is transforming healthcare—but are the bold promises backed by real-world evidence? This blog explores different study types to evaluate effectiveness and impact of AI in real-w...
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Conference Chairs' Summary
Our latest publication summarises the proceedings of the Health AI for All Conference (HAICon 2025). Read more in this conference chairs' summary.
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