Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. - Mark P. Sendak; Gaurav Sirdeshmukh; Timothy Ochoa; Hayley Premo; Linda Tang; Kira Niederhoffer; Sarah Reed; Kaivalya Deshpande; Emily Sterrett; Melissa Bauer; Laurie Snyder; Afreen Shariff; et al. (MLHC, 2022)

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. - Shalmali Joshi; Iñigo Urteaga; Wouter A. C. van Amsterdam; George Hripcsak; Pierre A. Elias; Benjamin R. C. Amor; Noémie Elhadad; James C. Fackler; Mark P. Sendak; Jenna Wiens; Kaivalya Deshpande; Yoav Wald; et al. (J. Am. Medical Informatics Assoc., 2025)