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014 Data annotation and labelling

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Manage episode 505423361 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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 algorithm by labelling thousands of examples. In this episode of The Health AI Brief, we explain why the quality of this digital teaching is everything. Discover why you should always ask who did the labelling when reading a new study, how human disagreement limits AI certainty, and why this is becoming a vital new form of clinical practice.

#ai in medicine #DataAnnotation #DataLabelling #SupervisedLearning #GroundTruth #MedicalAI #HealthcareAI #ExpertAnnotation #AIinRadiology #ClinicalAI #ArtificialIntelligence #MachineLearning #DigitalHealth #HealthTech Music generated by Mubert https://mubert.com/render

[email protected]

  continue reading

21 episodes

Artwork
iconShare
 
Manage episode 505423361 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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 algorithm by labelling thousands of examples. In this episode of The Health AI Brief, we explain why the quality of this digital teaching is everything. Discover why you should always ask who did the labelling when reading a new study, how human disagreement limits AI certainty, and why this is becoming a vital new form of clinical practice.

#ai in medicine #DataAnnotation #DataLabelling #SupervisedLearning #GroundTruth #MedicalAI #HealthcareAI #ExpertAnnotation #AIinRadiology #ClinicalAI #ArtificialIntelligence #MachineLearning #DigitalHealth #HealthTech Music generated by Mubert https://mubert.com/render

[email protected]

  continue reading

21 episodes

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