When we say a machine "learns" from data, what's actually happening? What is the engine doing?

In this episode, we break down the fundamental building block of modern AI: the Neural Network. We explain it as a logical chain for synthesising information—from raw data like ECG signals in the 'input layer', to abstract concepts like 'high-risk' in the 'hidden layers', to a final diagnosis.

Understanding this basic architecture is key to knowing an AI's limits. It reveals why these systems are powerful pattern-finders but don't "understand" causality; a crucial distinction for clinical safety.

🎧 Ready to look under the bonnet of AI? Listen now to grasp the core concept behind almost every AI tool you'll encounter.

Music generated by Mubert https://mubert.com/render

#NeuralNetworks #AIinHealthcare #MachineLearning #MedEd #HealthTech #DigitalHealth #DataScience #ClinicalAI

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