Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets
公司规模
1,000+
地区
- America
国家
- United States
产品
- Flywheel
技术栈
- Image Analysis
- Data Annotation
- Artificial Intelligence
实施规模
- Enterprise-wide Deployment
影响指标
- Innovation Output
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 医疗保健和医院
适用功能
- 产品研发
用例
- 计算机视觉
- 预测性维护
服务
- 数据科学服务
关于客户
The University of Texas Medical Branch (UTMB) is an academic health science center located in Galveston, Texas. Founded in 1891 as the country’s first unified public medical school and hospital, UTMB has a long history of being forward-thinking, and its faculty and staff share that mission. Peter McCaffrey, MD, serves as Director of Pathology Informatics, Director of the newlyfounded Division of Bioinformatics and Artificial Intelligence, and Director of Laboratory Information Services as well as Assistant Professor of Pathology. His role began in 2018 with a focus on pathology, but soon expanded to include the informatics effort in both the pathology and radiology departments, helping shape UTMB’s approach to bioinformatics and artificial intelligence.
挑战
The University of Texas Medical Branch (UTMB) was facing challenges in realizing greater value from its imaging assets and collaborating more efficiently within and outside the system. The COVID-19 pandemic further amplified the need for efficient and remote collaboration on imaging research. UTMB wanted to leverage its imaging assets more fully as its radiology archive grew and it went live with digital pathology. The hospital aimed to create data sets and make them available for AI researchers. However, without a clear way to organize the process, this posed a significant challenge.
解决方案
UTMB adopted Flywheel, a platform that supports annotation and image analysis, to address its strategic challenges. Flywheel enabled UTMB to create AI-ready data sets in both pathology and radiology. The platform allowed UTMB to coordinate efforts around fetching, looking at, and annotating images, adding structured metadata to images and increasing their value and utility. Flywheel provided a structure around the activity of curation, which was a significant part of UTMB's AI group's work. The platform also streamlined grant applications by simplifying the processes of creating registries and working with collaborators. Flywheel's deidentification feature made it easy to share data in a compliant way with UTMB's collaborators.
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