William Ratliff

According to our database, William Ratliff authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Randomized Controlled Trial and Pilot of Scout: an LLM-Based EHR Search and Synthesis Platform.

Michael Gao, Suresh Balu, William Knechtle, Kartik Pejavara, William Jeck, Matthew Ellis, Jason Thieling, Blake Cameron, Jason Tatreau, Tareq Aljurf, Henry Foote, Mike Revoir, Marshall Nichols, Matt Gardner, William Ratliff, Bradley Hintze, Angelo Milazzo, Sreekanth Vemulapalli

CoRR, April, 2026

2025

Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model.

Bruno Valan, Anusha Prakash, William Ratliff, Michael Gao, Srikanth Muthya, Ajit Thomas, Jennifer L. Eaton, Matt Gardner, Marshall Nichols, Mike Revoir, Dustin Tart, Cara O'Brien, Manesh Patel, Suresh Balu, Mark P. Sendak

npj Digit. Medicine, 2025

2024

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, Manesh Patel, Suresh Balu, Mark P. Sendak

npj Digit. Medicine, 2024

2023

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, April, 2023

2022

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, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu

Proceedings of the Machine Learning for Healthcare Conference, 2022

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

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

2020

"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

Proceedings of the FAT* '20: Conference on Fairness, 2020