NIH Reporter #1R43ES037589-01

AI Tool Development and Validation for Systematic Reviews in Environmental Health

This opportunity from the National Institute of Environmental Health Sciences (NIEHS) seeks proposals for AI-driven solutions to improve systematic reviews in environmental health research. - Government Buyer: - National Institute of Environmental Health Sciences (NIEHS), part of the US government - Vendors and OEMs: - Prospective vendor: PICO Portal, Inc. - No specific OEMs or hardware manufacturers are referenced; the focus is on custom software development - Products/Services Requested: - Development of AI tools for systematic reviews - Custom software leveraging large language models (e.g., ChatGPT) to accelerate Risk-of-Bias (RoB) assessment - Quantity: 1 - Validation and testing of developed AI tools - Ensuring accuracy and effectiveness of the AI solutions - Quantity: 1 - Unique/Notable Requirements: - Emphasis on using advanced AI (large language models) to reduce time, labor, and cost in systematic review processes - Compliance with federal grant application requirements - No specific part numbers or off-the-shelf products; the procurement is for custom software and validation services - Estimated contract value: $306,872

Description

PICO Portal, Inc. proposes developing AI-enhanced tools to streamline the generation of Systematic Reviews (SRs), which are the most reliable tool for evaluating published research in environmental health and other fields. The project aims to use AI to reduce the time, labor, and cost for the Risk of Bias (RoB) task in generating SRs, one of the most resource-intensive tasks. By leveraging large language models like ChatGPT, the project seeks to improve efficiency in generating SRs, leading to more SRs being published and supporting better informed decisions and policy to protect public health from unsafe environmental exposures.

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