HRSA Fact Sheets
Generate HRSA’s Program Fact Sheets for public use and reduce the cycle time by eliminating manual review and validation process.
Program Reporting System Knowledge base Chatbot
Help users get relevant information quickly instead of in lengthy manuals, FAQs, or scattered documentation and reduce support cost.
Program Reporting System Natural Language Search
Simplified Information availability for faster decision making and eliminate the maintenance cost for the legacy SOLRs search server.
AI identification of "High-Risk" Health Centers
Manual identification of high-risk health centers is resource-intensive and may miss key indicators across large datasets. Would support a proactive, data-driven approach to infor…
Targeted Technical Assistance
AI will help identify the health centers/ geographic areas that will benefit the most from targeted technical assistance on clinical topics for improving quality metrics
Program Compliance and Reporting Knowledge Base Chatbot
Users often need to navigate multiple technical assistance webpages, manuals, documents, FAQs, or submit inquiries through the contact form to find answers. This can be time-consu…
NICHD RPAB AI/ML NICHD Relevance Model
The primary objective is to enhance the efficiency, accuracy, and consistency of grant application referral assignments, while reducing the burden on Subject Matter Experts in RPA…
Applying for Grants Chat Bot
Save time for applicants by guiding users through the application process step-by-step, recommending additional resources for grant writing, and helping determine eligibility.
Assisted Referral Tool (ART)
This tool suggests which study sections an application might best fit for peer review. The applicant can then get a better idea of the topics being reviewed in that study section…
Autism Spectrum Disorder (ASD) Classification Model for Children using Deep Neural Network
Automated approaches for table extraction
Automated Basic-Applied Categorization of extramural grants
This machine-learning algorithm uses information about NIMH-funded research projects to categorize them as basic or applied research per the federal definitions for each.
Biomedical Citation Selector (BmCS)
Time-consuming human review of individual journal articles from multidisciplinary journals to determine inclusion in MEDLINE.
Clinical Trial Predictor
Applications that propose clinical trials that are submitted to NOFOs that do not allow clinical trials cannot be funded, no matter how well they do in review, because they were n…
ClinicalTrials.gov Protocol Registration and Results System Review Assistant
The quality control review process at ClinicalTrials.gov is time- and resource-intensive.
Collections Summarization Chatbot
Complex, time-consuming methods for discovery of content, and difficulty for users to understand the scope of content through summarization.
CSR Public Chatbot (CPC)
This tool answers questions from the public, potential reviewers, and applicants by directly pulling relevant information from official government web pages, instead of searching…
DAIT AIDS-Related Research Solution
DAIT POs need to identify grant applications that involve AIDS-related research (ARR) so they can evaluate them for additional funding.
Detecting Overlapping Science (DOS)
This tool detects applications that represent potential duplicate funding (funding the same research in different projects). It examines applications as they are submitted to the…
Detection of Implementation Science focus within incoming grant applications
This tool uses natural language processing and machine learning to calculate an Implementation Science score that is used to predict if a newly submitted grant application propose…
Expansion of Generative AI (GenAI) Caption Generation for all Collections Videos
High cost and low efficiency of video transcript and caption generation.
Federal IT Acquisition Reform Act (FITARA) Tool
Contracting officers use this tool to help identify whether a Statement of Work meets the criteria of Federal IT Acquisition Reform Act (FITARA).
Generative AI (GenAI) Still Image Tagging
Lack of a cost-effective mechanism to label and describe digital images.