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 |
|---|---|---|---|---|---|---|
| Renamed: Application References
Previously: Application-DMF Reference R0823 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Extracting DMF Facilities from unstructured documents
Previously: DMF (Drug Master File) Facilities R0824 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Information Visualization Platform (InfoViP) to Support Analysis of FAERS safety reports
Previously: Information Visualization Platform (InfoViP) to Support Analysis of adverse event reports R0825 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Renamed: Module 3 Facilities Extraction
Previously: Module 3 Faculties R0827 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Packaging Materials and Suppliers R0828 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Real World Data/Evidence R0830 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Regulatory Starting Material R0831 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Resource Capacity Planning R0832 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Other | 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 |
| CDER Publications R0836 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Science | Natural language processing | Contract and in-house |
| CDER Regulatory Science Research (RSR) Projects AI for Process Control in Advanced Manufacturing R0837 · HHS/FDA/CDER | HHS | Deployed | Presumed high-impact, determined not | Science | Classical / predictive ML | Developed in-house |
| Creating a development network R0838 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and 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 |
| Category Subcategory Classification - Safety Reports Bot R0841 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Other | Contract and in-house |
| Data Extraction from IND Safety Reports using OCR/AI Technologies R0842 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Purchased from vendor |
| Use case package 1: Empirical application of the Sentinel EHR and claims Data Partner network to address ARIA insufficient inferential requests (UC1) R0844 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| CI5: Development and refinement of toolkits for routine use in the EHR and claims Data Partner network R0845 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Use case package 2 (UC2): Empirical application of the Sentinel EHR and claims Data Partner network to enhance ARIA insufficient inferential requests and atypical descriptive requests R0846 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| FE5: Incorporate a range of frequently used engineering features from EHRs into the Sentinel common data model in the Sentinel EHR and claims linked Data Partner network R0847 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Develop an empirical algorithm to automate negative control identification in Sentinel System using the “Data-driven Automated Negative Control Estimation (DANCE)” algorithm R0848 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Support tools that can be used in conjunction with Electronic Health Record (EHR) data, such as machine learning and natural language processing (NLP), and the use of Artificial Intelligence (AI) chart review tools R0849 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| Sentinel System Task Order to address an Emerging Safety Need R0850 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | Contract and in-house |
| FOIA REDACTION (FRED) TOOL R0851 · HHS/FDA/CDER | HHS | Deployed | Presumed high-impact, determined not | Health and Medical | Generative AI | Contract and in-house |
| SCANS Facility Role Predictor R0858 · HHS/FDA/CDER | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| 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 |
| Elsa GenAI Chat Tool R0870 · HHS/FDA/OC | HHS | Deployed | Not high-impact | Other | Generative AI | Contract and in-house |
| ChatBot for Safety Reporting Portal Adverse Events and Product problems submissions R0875 · HHS/FDA/ODT | HHS | Deployed | Not high-impact | Health and Medical | Natural language processing | 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 |
| Filer Evaluation prioritization using risk-based decision Machine Learning approach R0878 · HHS/FDA/OII | HHS | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |
| Electronic translational services for regulatory documents for articles offered for import R0879 · HHS/FDA/OII | HHS | Deployed | Not high-impact | Information Technology | Natural language processing | Contract and in-house |
| AI-Powered Video Analytics for Law Enforcement R0880 · HHS/FDA/OII | HHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Computer vision | Purchased from vendor |
| PRF Program Chatbot R0887 · HHS/HRSA | HHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Contract and in-house |
| Assisted Referral Tool (ART) R0903 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Biomedical Citation Selector (BmCS) R0907 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Clinical Trial Predictor R0908 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| ClinicalTrials.gov Protocol Registration and Results System Review Assistant R0909 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| CSR Public Chatbot (CPC) R0911 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| DAIT AIDS-Related Research Solution R0912 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Detecting Overlapping Science (DOS) R0913 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Detection of Implementation Science focus within incoming grant applications R0914 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Purchased from vendor |
| Federal IT Acquisition Reform Act (FITARA) Tool R0916 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Internal Referral Module (IRM) R0919 · HHS/NIH | HHS | Deployed | Presumed high-impact, determined not | Administrative Functions | Classical / predictive ML | Contract and in-house |
| JIT Automated Calculator (JAC) R0920 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| Medical Text Indexer-NeXt Generation (MTIX) MEDLINE Indexing R0923 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| NBS Virtual Assistant R0926 · HHS/NIH | HHS | Deployed | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| NCI-DOE Collaboration, MOSSAIC project (Modeling Outcomes using Surveillance Data and Scalable AI for Cancer) R0927 · HHS/NIH | HHS | Deployed | Not high-impact | Science | Natural language processing | Contract and in-house |