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 |
|---|---|---|
| AI/ML for Study Section Prediction in NICHD | Implementation and Assessment | NIH |
| AI-enabled landscape analysis of New Approach Methodologies (NAMs) in biomedical research literature | Implementation and Assessment | NIH |
| Assisted Referral Tool | Operation and Maintenance | NIH |
| Automated annotation of study data using knowledge organization systems | Implementation and Assessment | NIH |
| Automation of Receipt & Referral Process of NIDDK grant applications | Operation and Maintenance | NIH |
| Best Match: New relevance search for PubMed | Operation and Maintenance | NIH |
| Biomedical Citation Selector (BmCS) | Implementation and Assessment | NIH |
| Clinical Trial Predictor | Implementation and Assessment | NIH |
| Computed Author: author name disambiguation for PubMed | Operation and Maintenance | NIH |
| COVID-19 Pandemic Vulnerability Index Dashboard | Operation and Maintenance | NIH |