HHS AI Use Case Inventory 2024
The Office of the Assistant Secretary for Technology Policy’s (ASTP) Office of the Chief Artificial Intelligence Officer (OCAIO) is responsible for leading the annual HHS AI use case inventory.
The Office of the Assistant Secretary for Technology Policy’s (ASTP) Office of the Chief Artificial Intelligence Officer (OCAIO) is responsible for leading the annual HHS AI use case inventory. The artificial intelligence (AI) use case publication requirement was initiated consistent with Executive Order 13960 "Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government" and may be further enhanced by Office of Management and Budget (OMB) memoranda.
Questions can be directed to HHS.CAIO@hhs.gov.
| Use Case Name | Stage of System Dev Life Cycle | Op Div/Staff Div |
|---|---|---|
| A Cluster-Based Machine Learning Approach for Evaluating Factors Associated with Plasma Neurodegenerative Biomarkers | Retired | NIH |
| Autism Spectrum Disorder (ASD) Classification Model for Children using Deep Neural Network | Retired | NIH |
| Automated approaches for table extraction | Retired | NIH |
| RCDC AI Validation Tool | Retired | NIH |
| Machine learning pipeline for mining citations from full-text scientific articles | Retired | NIH |
| Machine learning system to predict translational progress in biomedical research | Retired | NIH |