SCH: Generative Imaging Models for Verifying and Explaining Machine Learning Systems in He — NSF Award to University of Virginia M
Artificial intelligence - in particular, deep learning - is rapidly being developed for healthcare systems with great potential to improve disease diagnosis, treatment planning, and patient monitoring. However, the translation of these powerful models from research and development to everyday clinical use is being held
| Award title | SCH: Generative Imaging Models for Verifying and Explaining Machine Learning Systems in He |
|---|---|
| Award ID | 2501059 |
| Awardee | University of Virginia Main Campus |
| City | CHARLOTTESVILLE |
| State | VA |
| Amount obligated | $1,000,000 |
| Principal investigator | Preston Fletcher |
| Program | Smart and Connected Health |
| Start date | 09/15/2025 |
| Abstract | Artificial intelligence - in particular, deep learning - is rapidly being developed for healthcare systems with great potential to improve disease diagnosis, treatment planning, and patient monitoring. However, the translation of these powerful models from research and development to everyday clinical use is being held back by the lack of trustworthiness in these systems. This project will explore strategies and develop methods for ensuring the robustness of deep-learning models in healthcare ap |
| Source | NSF Awards |
$799/mo
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