How does an AI model quantify a mistake? It uses a "loss function" – a scorecard that penalises different types of errors. In this episode, we explain what a loss function is, why it's not a one-size-fits-all tool, and how it reveals the true clinica... more
How does an AI model actually learn to spot disease on a scan? It all comes down to one fundamental goal: minimising error. In this episode, we kick off a new set of episodes on the mechanics of machine learning by explaining this core principle with... more
Shmatko, A., Jung, A.W., Gaurav, K. et al. Learning the natural history of human disease with generative transformers. Nature (2025).
Link to paper: www.nature.com/articles/s41586-025-09529-3
What if an AI could forecast your health like th... more
We break down a landmark UCL study on the NHS's £21m programme to deploy AI in chest diagnostics.
They uncover the real reasons for significant delays, moving beyond the technology to the critical, real-world barriers: staff capacity, fragmented IT ... more
Ever been handed a patient's CT scan on a CD-ROM and wondered why medical systems struggle to communicate? The problem is that they need to speak the same language. This episode decodes the three essential standards of medical data exchange.
We brea... more
How do we know if a medical AI has truly learned to spot disease, or just memorised the answers to its practice questions? The same way we evaluate a trainee: with a final, unseen exam.
This crucial process involves splitting data into three sets: t... more
How do you teach an AI to read a chest X-ray? The same way a consultant teaches a resident doctor on a ward round: you point, you trace, and you provide the correct answer.
This is data annotation, the meticulous, human-led process of "teaching" an ... more
The headlines were everywhere: a revolutionary AI stethoscope that could more than double the detection of heart failure in GP clinics. The reported results from the TRICORDER trial sound transformative. But what happens when you look beyond the pres... more
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