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February 2, 2026Journal of Global Health0 citationsOpen Access

Exploring variation in research priorities generated by AI tools

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JGJohn GarryQueen's University BelfastMTMark TomlinsonQueen's University BelfastMLMaria LohanHitotsubashi University

Key Points

  • The analysis aims to evaluate the performance of different AI tools in generating health-related research priorities.
  • Conducted exploratory analysis of various AI models for health research prioritization.
  • Compared the effectiveness of Gemini to other models like Perplexity and DeepSeek.
  • Evaluated user preferences for single versus multiple AI models.
  • Gemini is effective for those using a single AI model.
  • Perplexity and DeepSeek provide beneficial insights when multiple models are used.

Abstract

Our exploratory analysis suggests that Gemini performs well for researchers who prefer to generate health-related research priorities using a single AI model. For those planning to draw on multiple models, Perplexity and DeepSeek offer complementary perspectives.

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Cite This Study

Garry et al. (2026) studied this question.

synapsesocial.com/papers/6980ff19c1c9540dea811db0https://doi.org/10.7189/jogh.16.04037
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The potential role of AI in research priority setting exercises2025 · 4 citations
  2. 2Setting health research priorities using the CHNRI method: III. Involving stakeholders2016 · 44 citations
  3. 3Can ChatGPT Provide Useful Guidance to Assess the Current State of and Future Priorities for Aging Research in the Social Sciences?2024 · 2 citations
  4. 4Setting Priorities in Global Child Health Research Investments: Universal Challenges and Conceptual Framework2008 · 109 citations
  5. 5Research priorities for the COVID‐19 pandemic and beyond: A call to action for psychological science2020 · 220 citations