12,445 papers · continuously updated · last export: 10 Aug 2026livingmeta.ai
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Research theme

AI-Assisted Discovery

The AI-Assisted Discovery theme comprises 1,043 papers in this corpus published between 1982 and 2026. Work here is dominated by Design Science, Empirical Study, Experimental. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Design Science249 (24%)
  • Empirical Study212 (20%)
  • Experimental130 (12%)
  • Case Study106 (10%)
  • Literature Review87 (8%)
  • Benchmarking76 (7%)

Research domains

  • Literature Discovery276 (26%)
  • Data Analysis167 (16%)
  • Research Productivity131 (13%)
  • Human-AI Collaboration126 (12%)
  • Knowledge Synthesis111 (11%)
  • Academic Writing98 (9%)

Frequent sub-topics

LLM-based content coding for competitive dynamics measurement · 1specification format effects when switching from human to AI developers · 1Generative AI for course material navigation and information seeking · 1LLM financial forecasting evaluation · 1AI applications in sustainable public transportation with human-in-the-loop synthesis · 1IS dissertation trends and GenAI-assisted keyword extraction · 1generative AI effects on student learning and metacognition · 1student-AI interaction patterns in learning · 1

Open research gaps

  • not_available
  • Not explicitly stated in the abstract
  • The authors identify that "existing LLMs have their own limits" and that there is "an urgent need for new solutions that can fully understand and analyze multimodal content in scientific literature,"
  • The authors identify that evidence remains limited on the clinical utility of EHR-based predictive models compared with traditional screening criteria, and that recent advances in large language and f
  • The authors identify a gap in understanding preference factors between GenAI tools and traditional search engines for academic help-seeking, and call for improved fluency and reliability of both ChatG

Representative papers

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