A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials
The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care sites, utilizing advanced technologies for near real-time access. The platform generates data in a format to support clinical care, accelerate research, and promote artificial intelligence/ machine learning algorithm development, highlighted by a clinical decision support algorithm for precision oncology.
Authors
- Soma Sengupta (ORCID: https://orcid.org/0000-0003-4577-1397)
- Zachary A. Kaufman
- Glenn A. Kramer
- Rohan Rao (ORCID: https://orcid.org/0000-0002-7166-1899)
- Timothy Joseph Stuhlmiller (ORCID: https://orcid.org/0009-0005-0946-2257)
- Santosh Kesari (ORCID: https://orcid.org/0000-0003-3772-6000)
- Mark A. Shapiro
- Kenny K. Wong (ORCID: https://orcid.org/0009-0009-7405-3934)
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2024-10-05
- DOI
- https://doi.org/10.17615/v0zv-5e45
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00