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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
AI use-case explorer

AI use cases

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Agency: HHS · Department of Health and Human ServicesAI type: Classical / predictive MLTopic: Health and Medical
Columns (7)
Use caseAgencyStageHigh-impactTopic areaAI classificationSourcing
Malaria parasites DNA barcode geography classification
R0658 · HHS/CDC
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Genetic distance computation method for comparing complex multi-locus parasite (Cyclospora) genotypes
R0673 · HHS/CDC
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Nowcasting Injury Trends
R0677 · HHS/CDC
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Sequential Coverage Algorithm (SCA) and partial Expectation-Maximization (EM) estimation in Record Linkage
R0680 · HHS/CDC
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
Machine Learning with Premier Healthcare Data to inform predictive modeling of antibiotic use
R0695 · HHS/CDC
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Machine Learning Techniques for Early Detection and Situational Awareness of Rabies Outbreaks
R0696 · HHS/CDC
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Renamed: 356H Machine Learning (ML) Facility Supply Chain Role Classification Previously: 356H ML Facility Supply Chain Role Classification
R0816 · HHS/FDA/CDER
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
Renamed: Risk-based FAR Review & Decision Support Previously: Field Alert Reports (FAR) Prioritization Model
R0817 · HHS/FDA/CDER
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
Supply Chain Resilience Program, Office of Supply Chain Resilience (OSCR) - Foresight
R0833 · HHS/FDA/CDRH
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Developing an Objective and Quantitative Endpoint for Atopic Dermatitis in Pediatric and Adult Populations
R0839 · HHS/FDA/CDER
HHSDeployedPresumed high-impact, determined notHealth and MedicalClassical / predictive MLPurchased from vendor
Food AI Decision Engine (FAIDE)
R0863 · HHS/FDA/HFP
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Warp Intelligent Learning Engine (WILEE)
R0864 · HHS/FDA/HFP
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
Rapid Intuitive Pathogen Surveillance (RIPS)
R0865 · HHS/FDA/HFP
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Product Label and Text Extraction System (PLATES)
R0867 · HHS/FDA/HFP
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
Machine Learning as a Service: Translate and extract text from images using AI
R0876 · HHS/FDA/ODT
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
Machine Learning as a Service: Extract data from product labels, business forms, and image files
R0877 · HHS/FDA/ODT
HHSDeployedNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
Drug Shortage Predictive Model
R0840 · HHS/FDA/CDER
HHSPilotNot high-impactHealth and MedicalClassical / predictive MLDeveloped in-house
Data Ingestion and Content Explorer (DICE)
R0868 · HHS/FDA/HFP
HHSPilotNot high-impactHealth and MedicalClassical / predictive MLContract and in-house
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