5 citations · 9 across the 5 of their papers we have counts for
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cs.LG2024★ 5 cited
Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report
Rachael Fleurence, Xiaoyan Wang, Jiang Bian +5
Objective: This article offers a taxonomy of generative artificial intelligence (AI) for health economics and outcomes research (HEOR), explores its emerging applications, and outl…
cs.LG2024★ 2 cited
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations
Rachael Fleurence, Jiang Bian, Xiaoyan Wang +4
This review introduces the transformative potential of generative Artificial Intelligence (AI) and foundation models, including large language models (LLMs), for health technology…