Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. - Jackson M. Steinkamp; Charles Chambers; Darco Lalevic; Hanna M. Zafar; Tessa Sundaram Cook (J. Digit. Imaging, 2019)

A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning. - Wasif Bala; Jackson M. Steinkamp; Timothy Feeney; Avneesh Gupta; Abhinav Sharma; Jacob J. Kantrowitz; Nicholas Cordella; James Moses; Frederick Thurston Drake (Appl. Clin. Inform., 2020)

Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes. - Jackson M. Steinkamp; Wasif Bala; Abhinav Sharma; Jacob J. Kantrowitz (J. Biomed. Informatics, 2020)

A Mobile, Electronic Health Record-Connected Application for Managing Team Workflows in Inpatient Care. - Jacqueline M. Soegaard Ballester; Geoffrey Bass; Richard Urbani; Glenn Fala; Rutvij Patel; Damien Leri; Jackson M. Steinkamp; Joshua L. Denson; Roy Rosin; Srinath Adusumalli; Clarence William Hanson; Ross Koppel; et al. (Appl. Clin. Inform., 2021)

Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. - Jackson M. Steinkamp; Charles Chambers; Darco Lalevic; Tessa Sundaram Cook (J. Digit. Imaging, 2021)

Ensemble Approaches to Recognize Protected Health Information in Radiology Reports. - Hannah Horng; Jackson M. Steinkamp; Charles E. Kahn; Tessa Sundaram Cook (J. Digit. Imaging, 2022)

Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. - Pierre J. Chambon; Christopher Wu; Jackson M. Steinkamp; Jason Adleberg; Tessa Sundaram Cook; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2023)

Point Cloud Context Analysis for Rehabilitation Grasping Assistance. - Jackson M. Steinkamp; Laura J. Brattain; Conor J. Walsh; Robert D. Howe (CoRR, 2024)