A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials.

Journal: North Carolina medical journal

PMID: 39466099

Abstract

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

Department of Neurosurgery, School of Medicine, University of North Carolina at Chapel Hill.
Rohan Rao

Ronald Reagan UCLA Medical Center, University of California, Los Angeles.
Zachary Kaufman

xCures, Oakland, CA.
Timothy J Stuhlmiller

xCures, Oakland, CA.
Kenny K Wong

xCures, Oakland, CA.
Santosh Kesari

Pacific Neuroscience Institute, Santa Monica, CA 90404, USA.
Mark A Shapiro

xCures, Oakland, CA.
Glenn A Kramer

xCures, Oakland, CA.

Keywords

Algorithms Artificial Intelligence Clinical Trials as Topic Decision Support Systems, Clinical Electronic Health Records Humans Machine Learning Medical Oncology Neoplasms

External Resources

View on PubMed Access via DOI PubMed (39466099)

A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials.

Abstract

Authors

Keywords

External Resources

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