"The human body is a black box": supporting clinical decision-making with deep learning. - Mark P. Sendak; Madeleine Clare Elish; Michael Gao; Joseph Futoma; William Ratliff; Marshall Nichols; Armando Bedoya; Suresh Balu; Cara O'Brien (FAT*, 2020)

Malignancy Prediction and Lesion Identification from Clinical Dermatological Images. - Meng Xia; Meenal K. Kheterpal; Samantha C. Wong; Christine Park; William Ratliff; Lawrence Carin; Ricardo Henao (CoRR, 2021)

Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. - Mark P. Sendak; Michael Gao; William Ratliff; Marshall Nichols; Armando Bedoya; Cara O'Brien; Suresh Balu (J. Am. Medical Informatics Assoc., 2021)

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)

Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation. - Sahil Sandhu; Mark P. Sendak; William Ratliff; William Knechtle; William J. Fulkerson; Suresh Balu (Patterns, 2023)

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. - William Boag; Alifia Hasan; Jee Young Kim; Mike Revoir; Marshall Nichols; William Ratliff; Michael Gao; Shira Zilberstein; Zainab Samad; Zahra Hoodbhoy; Mushyada Ali; Nida Saddaf Khan; et al. (npj Digit. Medicine, 2024)

Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model. - Bruno Valan; Anusha Prakash 003; William Ratliff; Michael Gao; Srikanth Muthya; Ajit Thomas; Jennifer L. Eaton; Matt Gardner 004; Marshall Nichols; Mike Revoir; Dustin Tart; Cara O'Brien; et al. (npj Digit. Medicine, 2025)