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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 informationāfrom 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.
š§ 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
By Stephen AugerWhen 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 informationāfrom 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.
š§ 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