Unveiling bias in AI model training data: exploring the impact of intrinsic data variability on lung ultrasound video classification models

Unveiling bias in AI model training data: exploring the impact of intrinsic data variability on lung ultrasound video classification models

Files

Unveiling-bias-in-AI-model-training-data_Bhattacharjee.pdf(267.02 KB)

Date

2024-10-21

Authors

Bhattacharjee, Saunak

Thompson, Russell

Etter, Lauren P.

Pieciak, Rachel C.

Castro-Aragon, Ilse

Gill, Christopher C.

Demi, Libertario

Version

Other

URI

https://hdl.handle.net/2144/49919

Citation

S. Bhattacharjee, U. Khan, R. Thompson, L.P. Etter, I. Camelo, R.C. Pieciak, I. Castro-Aragon, B. Setty, C.C. Gill, L. Demi, M. Betke. 2024. "Unveiling bias in AI model training data: Exploring the impact of intrinsic data variability on lung ultrasound video classification models"

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BU Open Access Articles