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 |
|---|---|---|---|---|---|---|
| Malaria parasites DNA barcode geography classification R0658 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Genetic distance computation method for comparing complex multi-locus parasite (Cyclospora) genotypes R0673 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Nowcasting Injury Trends R0677 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Sequential Coverage Algorithm (SCA) and partial Expectation-Maximization (EM) estimation in Record Linkage R0680 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Machine Learning with Premier Healthcare Data to inform predictive modeling of antibiotic use R0695 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Machine Learning Techniques for Early Detection and Situational Awareness of Rabies Outbreaks R0696 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Renamed: 356H Machine Learning (ML) Facility Supply Chain Role Classification
Previously: 356H ML Facility Supply Chain Role Classification R0816 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Renamed: Risk-based FAR Review & Decision Support
Previously: Field Alert Reports (FAR) Prioritization Model R0817 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Supply Chain Resilience Program, Office of Supply Chain Resilience (OSCR) - Foresight R0833 · HHS/FDA/CDRH | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Developing an Objective and Quantitative Endpoint for Atopic Dermatitis in Pediatric and Adult Populations R0839 · HHS/FDA/CDER | HHS | Deployed | Presumed high-impact, determined not | Health and Medical | Classical / predictive ML | Purchased from vendor |
| Food AI Decision Engine (FAIDE) R0863 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Warp Intelligent Learning Engine (WILEE) R0864 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Rapid Intuitive Pathogen Surveillance (RIPS) R0865 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Product Label and Text Extraction System (PLATES) R0867 · HHS/FDA/HFP | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Machine Learning as a Service: Translate and extract text from images using AI R0876 · HHS/FDA/ODT | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| Machine Learning as a Service: Extract data from product labels, business forms, and image files R0877 · HHS/FDA/ODT | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Contract and in-house |
| 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 |
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