Medical Text Indexer-NeXt Generation (MTIX) MEDLINE Indexing

Section 1: Use Case Identifiers

Use Case ID: HHS-NIH-00048
Agency: HHS
Op Div/Staff Div: NIH
Use Case Topic Area: Government Services (includes Benefits and Service Delivery)
Is the AI use case found in the below list of general commercial AI products and services?
None of the above.
What is the intended purpose and expected benefits of the AI?
Machine learning-based system for the automated indexing of MEDLINE citation records using Medical Subject Heading (MeSH) terms. Automated indexing is achieved using a multi-stage neural text ranking approach.

MeSH indexing has been shown to improve information retrieval in PubMed, but manual indexing was not sustainable due to the increasing volume of published biomedical literature. Automated indexing allows for cost-effective and timely indexing of MEDLINE citation records.
Describe the AI system's outputs.
The input is PubMed citation data including the article title and abstract, and the output is a set of MeSH terms describing the topic of the article.
Stage of Development: Operation and Maintenance
Is the AI use case rights-impacting, safety-impacting, both, or neither?
Neither

Section 2: Use Case Summary

Date Initiated: 01/2021
Date when Acquisition and/or Development began: 01/2022
Date Implemented: 05/2023
Date Retired: N/A
Was the AI system involved in this use case developed (or is it to be developed) under contract(s) or in-house?
Developed with contracting resources.
Provide the Procurement Instrument Identifier(s) (PIID) of the contract(s) used.
Black Canyon Consulting LLC 47QTCA18D00JA/75N97023F00098
Is this AI use case supporting a High-Impact Service Provider (HISP) public-facing service?
N/A
Does this AI use case disseminate information to the public?
No
How is the agency ensuring compliance with Information Quality Act guidelines, if applicable?
N/A
Does this AI use case involve personally identifiable information (PII) that is maintained by the agency?
No
Has the Senior Agency Official for Privacy (SAOP) assessed the privacy risks associated with this AI use case?
ongoing

Section 3: Data and Code

Do you have access to an enterprise data catalog or agency-wide data repository that enables you to identify whether or not the necessary datasets exist and are ready to develop your use case?
Yes
Is there available documentation for the model training and evaluation data that demonstrates the degree to which it is appropriate to be used in analysis or for making predictions?
Documentation is complete
Which, if any, demographic variables does the AI use case explicitly use as model features?
N/A
Does this project include custom-developed code?
Yes
If the code is open-source, provide the link for the publicly available source code.
N/A

Section 4: AI Enablement and Infrastructure

Does this AI use case have an associated Authority to Operate (ATO) for an AI system?
No
System Name: N/A
How long have you waited for the necessary developer tools to implement the AI use case?
Less than 6 months
For this AI use case, is the required IT infrastructure provisioned via a centralized intake form or process inside the agency?
Yes
Do you have a process in place to request access to computing resources for model training and development of the AI involved in this use case?
Yes
Has communication regarding the provisioning of your requested resources been timely?
Yes
How are existing data science tools, libraries, data products, and internally-developed AI infrastructure being re-used for the current AI use case?
Re-use production level code from a different use-case
Has information regarding the AI use case, including performance metrics and intended use of the model, been made available for review and feedback within the agency?
Limited documentation for review