A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. - Ju Sun; Le Peng; Taihui Li; Dyah Adila; Zach Zaiman; Genevieve B. Melton; Nicholas Ingraham; Eric Murray; Daniel Boley; Sean Switzer; John L. Burns; Kun Huang; et al. (CoRR, 2021)

NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models. - Greg M. Silverman; Himanshu S. Sahoo; Nicholas Ingraham; Monica Lupei; Michael A. Puskarich; Michael Usher; James Dries; Raymond L. Finzel; Eric Murray; John Sartori; György J. Simon; Rui Zhang 028; et al. (J. Artif. Intell. Res., 2021)

Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary Syndrome. - Himanshu S. Sahoo; Nicholas Ingraham; Greg M. Silverman; John Sartori (ICMLA, 2022)

A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients. - Greg M. Silverman; Geetanjali Rajamani; Nicholas E. Ingraham; James K. Glover; Himanshu S. Sahoo; Michael Usher; Rui Zhang 028; Farha Ikramuddin; Tanya E. Melnik; Genevieve B. Melton; Christopher J. Tignanelli (MedInfo, 2023)

Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records. - Joshua Trujeque; R. Adams Dudley; Nathan Mesfin; Nicholas E. Ingraham; Isai Ortiz; Ann Bangerter; Anjan Chakraborty; Dalton Schutte; Jeremy Yeung; Ying Liu; Alicia Woodward-Abel; Emma Bromley; et al. (J. Am. Medical Informatics Assoc., 2025)