Project Grant 2326317

Award Date 10/1/23
Completion Date 9/30/25
Dollars Obligated $200K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Hamden, CT 06511, USA
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This National Science Foundation (NSF) Project Grant under the Engineering (CFDA 47.041) program provides $200,000 in funding to Yale University from October 1, 2023 through September 30, 2025. The grant supports the development of an open-source software platform and statistical methods to assess the performance of artificial intelligence/machine learning (AI/ML) models used for computational pathology. Key products and services to be delivered include:

  1. Validation of the existing MATLAB-based Evaluation Environment for Digital and Analog Pathology (EEDAP) platform as a tool for reader studies, and creation of open-source software tools to control the EEDAP platform. This will enable interactions with the PrecisionFDA portal and facilitate collaboration with expert pathologists.

  2. Development of statistical methods to measure, account for, and reduce variability in expert reader interpretations of medical images, which can be applied more broadly to other diagnostic imaging modalities beyond digital pathology. These statistical tools are intended to support reproducible and practical device assessments for software planned for use in clinical care.

The grant does not include any planned sub-awards.

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