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ON-DEMAND WEBINAR

Bias in Machine Learning

The field of radiology has witnessed a significant surge in interest in Artificial Intelligence (AI). Nevertheless, a certain ambivalence lingers concerning the approach to AI development and the potential for bias in machine learning training.

This on-demand webinar covers topics, such as:

  • Current challenges in radiology and diagnosis

  • How Artificial Intelligence can help to reduce these challenges

  • The process of Artificial Intelligence deployment

  • Types of biases and solutions how to overcome them

Speakers
Picture of Christina Biermann

"Large and diverse datasets can help to develop application with less susceptibility to bias."

Dr. Christina Biermann
Lead Application Development & Integration
Bayer

Picture of Subrata Bose

"The most common mistakes can happen in 3 key areas: data collection, model development and during the model evaluation."

Dr. Subrata Bose
Vice President Diagnostic Imaging Data & AI
Bayer Radiology

Joana Reis Webinar

''When deciding on an application to implement, how can I determine if a vendor has put effort in debiasing an application?''

Dr. Joana Reis
Global Medical Affairs Senior Manager for Digital Radiology
Bayer

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PP-CALA-ALL-0527-1 June 2023