Publications
Our Latest Publications
BlogWho Gets to Decide What is Ethical Health AI?
Why communities, not just experts, must shape the values, trade-offs, and cultural norms that define what ethical and responsible Health AI really means.
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BlogIs Context Length the Missing Link Between Language Models and the Physical World?
As context windows grow, language models feel more coherent, but does memory alone move them closer to understanding the world they describe?
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BlogA Tale of Two Technologies: Tele-Medicine And Chatbots (Part 2)
Why Healthcare Chatbots Show Potential but Still Struggle to Deliver Meaningful Outcomes
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BlogA Tale of Two Technologies: TeleMedicine And Chatbots
Telemedicine’s rise in India shows how digital tools can expand primary care access in resource-limited settings
Read MoreBlogWhat TOON is and where it fits
A compact, LLM-friendly alternative for tabular data; useful and efficient, yet still not the answer for every data structure.
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BlogHow can you implement autograd from scratch?
Autograd, or automatic differentiation, may sound difficult, not only to implement but even to understand. This blog will help you learn how autograd works behind the scenes.
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BlogWhen Machines Learn to Differentiate
A simple, intuitive look at how computers compute derivatives automatically.
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BlogFederated Learning in Health AI Part 2: How Federated Learning Works
Learn how Federated Learning transforms Health AI through decentralized training, the FedAvg algorithm, and privacy-focused weight averaging that enables collaboration without data...
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BlogUnderstanding Alignment in Vision Language Models (VLMs)
At the core of VLMs lies the fundamental challenge of representing image feature vectors as LLM textual vectors while preserving the information. This blog explores how this alignm...
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BlogHow do LLM see?
LLMs understand text, VLMs let them see. Discover how images become tokens AI can process and reason about.
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BlogFederated Learning in Health AI Part 1: The Imperative for Federated Learning
Why is federated learning important in Health AI? Discover the insights in this blog.
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BlogWhat Will AI Do To The Doctors? (Redux)
Is your brain exercising less with AI assistance? If so, does this diminished cognitive engagement affect our skillsets? Find out in this blog by Kiran Raj Pandey.
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BlogWhat Will AI Do To The Doctors?
What happens when AI tools begin to integrate in clinical practice? Does clinical practice & patient care improve? Do patients benefit? What happens to the doctors themselves, & th...
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BlogLLMs Explained: How Machines Understand and Generate Language
A beginner’s guide to how Large Language Models work, their power, and their limitations.
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BlogA Mathematical Dive into Bahdanau Attention
Mathematical breakdown of Bahdanau Attention: how neural networks learn to align and translate with context.
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BlogMathematical 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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BlogHow 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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BlogAligning 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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BlogEvaluating 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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BlogEvaluating 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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ReportConference 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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