5 citations · 12 across the 4 of their papers we have counts for
5 papers
ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: an ISPOR Working Group on Generative AI Report
Rachael L. Fleurence, Dalia Dawoud, Jiang Bian +5
Introduction: Generative artificial intelligence (AI), particularly large language models (LLMs), holds significant promise for Health Economics and Outcomes Research (HEOR). Howev…
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…
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…
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
Zhaowei She, Zilong Wang, Jagpreet Chhatwal +1
The COVID-19 pandemic has exerted a profound impact on the global economy and continues to exact a significant toll on human lives. The COVID-19 case growth rate stands as a key ep…
Estimating County-Level COVID-19 Exponential Growth Rates Using Generalized Random Forests
Zhaowei She, Zilong Wang, Turgay Ayer +2
Rapid and accurate detection of community outbreaks is critical to address the threat of resurgent waves of COVID-19. A practical challenge in outbreak detection is balancing accur…