NSF award 2629786 · Yale University

I-Corps: Translation Potential of Artificial Intelligence (AI)-Powered Medical Imaging

Final report due

29 December 2027

in 437 days · The award ends on 31 August 2027.

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Decide about an extension3 May 2027in 197 days
award ending 2027-08-31 · Research.gov
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Extension request17 Jul 2027in 272 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2027in 307 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2027.

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Award card

Award number: 2629786
Period of support: 1 Sep 2026 – 31 Aug 2027
Amount: $50,000
Awardee: Yale University, NEW Haven, CT
Program: I-Corps
Directorate: TIP

Abstract

This I-Corps project is based on the development of artificial intelligence (AI) technologies to improve image quality and diagnostic accuracy of heart scans. Currently, a three-dimensional (3D) imaging test that uses a safe radioactive tracer and a gamma camera to show how organs and tissues work is the most widely used imaging modality to diagnose coronary artery diseases. However, attenuation in the patient's…

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