Strength in numbers: Federated learning boosts AI for COVID-19

By
The Rhino Team
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September 15, 2021

Involving radiologists in fine-tuning artificial intelligence (AI) algorithms has led to improved performance in detecting and quantifying COVID-19 pneumonia on chest x-rays. A study published in the Journal of Thoracic Imaging demonstrated that radiologist-supervised training of a convolutional neural network (CNN) significantly enhanced its accuracy in identifying pneumonia. This collaboration between human expertise and machine learning not only boosts diagnostic precision but also underscores the importance of integrating clinical insights into AI model development for better patient care.

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