Leveraging Machine Learning and Robotic Process Automation to Identify and Convert Unstructured Colonoscopy Results Into Actionable Data: Proof-of-Concept Study
- DOI
- 10.2196/73504
- Published
- 2025-11-20
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/73504,
title = {Leveraging Machine Learning and Robotic Process Automation to Identify and Convert Unstructured Colonoscopy Results Into Actionable Data: Proof-of-Concept Study},
author = {Elizabeth R Stevens and Jager Hartman and Paul Testa and Ajay Mansukhani and Casey Monina and Amelia Shunk and David Ranson and Yana Imberg and Ann Cote and Dinesha Prabhu and Adam Szerencsy},
year = {2025},
journal = {JMIR Medical Informatics},
doi = {10.2196/73504},
url = {https://doi.org/10.2196/73504}
}RIS
TY - JOUR TI - Leveraging Machine Learning and Robotic Process Automation to Identify and Convert Unstructured Colonoscopy Results Into Actionable Data: Proof-of-Concept Study AU - Elizabeth R Stevens AU - Jager Hartman AU - Paul Testa AU - Ajay Mansukhani AU - Casey Monina AU - Amelia Shunk AU - David Ranson AU - Yana Imberg AU - Ann Cote AU - Dinesha Prabhu AU - Adam Szerencsy PY - 2025 JO - JMIR Medical Informatics DO - 10.2196/73504 UR - https://doi.org/10.2196/73504 ER -
APA
Stevens, E. R., Hartman, J., Testa, P., Mansukhani, A., Monina, C., Shunk, A., Ranson, D., Imberg, Y., Cote, A., Prabhu, D., & Szerencsy, A. (2025). Leveraging Machine Learning and Robotic Process Automation to Identify and Convert Unstructured Colonoscopy Results Into Actionable Data: Proof-of-Concept Study. JMIR Medical Informatics. https://doi.org/10.2196/73504
Source records
- crossref · retrieved 2026-09-25T19:16:42.251Z