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*Funding: Health IT_Data Science, Emerging Technology, Bioinformatics, Big Data Mining, Predictive Analytics, Algorithms, RPA (Robotic Process Automation), Artificial Intelligence (AI), Large Language Models (LLM), Generative AI, Machine Learning (ML), Digital Twin, Synthetic Data, GIS (Geographic Information Systems) & Visualizations (Archives_2024)

2024: CMS_Request for Information on Artificial Intelligence Technologies for Improving Health Care Outcomes and Service Delivery

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Artificial Intelligence Demo Days | CMS

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*Funding: Health IT_Data Science, Emerging Technology, Bioinformatics, Big Data Mining, Predictive Analytics, Algorithms, RPA (Robotic Process Automation), Artificial Intelligence (AI), Large Language Models (LLM), Generative AI, Machine Learning (ML), Digital Twin, Synthetic Data, GIS (Geographic Information Systems) & Visualizations (Archives_2024)
*Funding: HHS_CMS (Archives 2024)
Funding: Forecasts, PreSolicitations, SS (Sources Sought), RFIs (Request For Information), NOSI (Notice of Special Interest), NOIP (Notice of Intent to Publish), SEN (Special Emphasis Notice), NPRM (Notice of Proposed RuleMaking), Industry Day

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In alignment with the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (E.O. 14110), this Request for Information (RFI) aims to gather information from interested parties, including health care companies, health care providers and payers, start-ups, and other developers, about existing Artificial Intelligence (AI) technologies supporting health care outcomes and service delivery which are relevant to CMS programs and operations. CMS aims to select organizations to provide demonstrations of their AI products and services to the agency during a series of “CMS AI Demo Days” to help the agency better understand AI uses in the health sector. CMS seeks to advance its knowledge on available AI tooling through information sharing by companies supporting the advancement of relevant AI tools and products. Demonstrations will be selected by a technical panel of CMS employees and be selected quarterly on a rolling basis.

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