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

Bhattacharjee, SaunakKhan, UmairThompson, RussellEtter, Lauren P.Camelo, IngridPieciak, Rachel C.Castro-Aragon, IlseSetty, BinduGill, Christopher C.Demi, LibertarioBetke, Margrit2025-03-202025-03-202024-10-21S. 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"https://hdl.handle.net/2144/49919Unveiling bias in AI model training data: exploring the impact of intrinsic data variability on lung ultrasound video classification modelsConference materials0000-0002-4491-6868 (Betke, Margrit)1023285