AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| No Missed Malignancy (NMM) VA-25-2045 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Purchased from vendor |
| VASQIP Mortality Calculator VA-25-4960 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Frailty Risk Analysis VA-25-5001 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Analytics, Data, and Decision Support Unified Platform (ADDSUP) VA-24-1815 · OALC: Office of Acquisitions Logistics, and Construction | VA | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| VA Section 508 Office URL Ownership Prediction Model VA-24-1897 · OIT: Office of Information & Technology | VA | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| Veteran Experience Office Retention/Trust Models in Customer Experience Insights VA-25-5411 · OIT: Office of Information & Technology | VA | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Auto Doc ID VA-25-733 · VBA: Veterans Benefits Administration | VA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| UiPath Document Understanding VA-24-1323 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Other | Classical / predictive ML | Purchased from vendor |
| LINQ II Insertable Cardiac Monitor VA-24-2713 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Purchased from vendor |
| BTSSS 3542 Review VA-24-3738 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| PII in Foreign Medical Program (FMP) Faxes VA-25-7221 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Government Benefits Processing | Classical / predictive ML | Contract and in-house |
| Moody’s Stress Test Modeling NCUA-12-2025 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Not reported |
| ADCo MBS/CMO Modeling NCUA-13-2025 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Not reported |
| CoStar CRE Modeling NCUA-14-2025 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Not reported |
| Elastic Machine Learning Threat Detection (Phase 1) R1179 | GSA | Deployed | Not reported | Cybersecurity | Classical / predictive ML | Not reported |
| Elastic Machine Learning Threat Detection (Phase 2) R1180 | GSA | Deployed | Not reported | Cybersecurity | Classical / predictive ML | Not reported |
| Design Optimization of Turbomachinery Rotor Blades using Neural Network Surrogate Models NASA-526 · GRC: Glenn Research Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Implement machine learning in NMIS to assist with mishap coding NASA-545 · OSMA: Office of the Chief Safety & Mission Assurance | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Adaptive Problem Solving / Hyperparameter Optimization NASA-809 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Time Series Forecasting, Evaluation and Deployment (Time-FED) NASA-814 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| AI Risk-aware task and motion planning for snake-like robots in icy enviroments NASA-815 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Retrieving stratospheric NO2 profiles from OMPS Limb Profiler measurements NASA-850 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Quantification of Uncertainty Analysis Toolkit (QUAnT) NASA-861 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Cloud Account Allocation Plan (CAAP) Cost Analytics Support NASA-901 · GSFC: Goddard Space Flight Center | NASA | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Variable Optimization FRB-0010 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Decision Tree for Deposits Data FRB-0029 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Novel Activities Call Report Classification FRB-0031 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Risk Rating Model FRB-0050 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Autocoding to Support Adverse Drug Event Surveillance R0662 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Distiller SR: AI to screen research articles for Community Guide reviews R0665 · HHS/CDC | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Determining if multiple isolates share the same antimicrobial resistant plasmids using short read whole genome sequencing data R0703 · HHS/CDC | HHS | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Enhancing influenza A risk assessment rubrics: leveraging predictive correlates and machine learning from in vivo experiments. R0718 · HHS/CDC | HHS | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Integrated Data Repository (IDR) Customer Analytic Environment (CAE) R0808 · HHS/CMS/OIT | HHS | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |
| Production Operations Anomaly Analysis R0811 · HHS/CMS/OIT | HHS | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| Drug Shortage Predictive Model R0840 · HHS/FDA/CDER | HHS | Pilot | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Data Ingestion and Content Explorer (DICE) R0868 · HHS/FDA/HFP | HHS | Pilot | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| NICHD RPAB AI/ML NICHD Relevance Model R0901 · HHS/NIH | HHS | Pilot | Presumed high-impact, determined not | Administrative Functions | Classical / predictive ML | Developed in-house |
| Person-level disambiguation for PubMed authors and NIH grant applicants R0934 · HHS/NIH | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Identification of emerging areas R0964 · HHS/NIH | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Prediction of transformative breakthroughs R0970 · HHS/NIH | HHS | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| New Offsite Models FDIC – 57 · Division of Risk Management Supervision | FDIC | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| QCEW NAICS Autocoder DOL-39 · BLS | DOL | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| LCAT - Land Change Analysis Technique USDA-011 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Raster Tools USDA-017 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Genomic Analyses of Pathogen Subtypes USDA-043 · Food Safety | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Foodborne Illness Source Attribution USDA-044 · Food Safety | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Fire Resilient Landscapes USDA-074 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Spread and Balance Sample Design USDA-076 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Regression, Classification, Clustering with Hilbert Curves USDA-077 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC ND Field Station Birds and Agriculture Project USDA-100 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |