Anesthesia

"AI-powered searching" may be defined as any AI system using large language models and generative AI to enhance the discovery and synthesis of papers. This type of searching often combines searching for and synthesis of medical papers in one step.

As AI evolves, watch for new search tools to supplement traditional keyword and index term searching ("lexical" or word-based) by understanding the context and meaning of queries, extracting relevant data from papers, and providing structured insights to support research tasks such as literature reviews, systematic reviews, and knowledge synthesis (KS).

• Elicit.com automates literature reviews by searching 125 million papers, summarizing findings, and extracting data into tables.
• Scite.ai analyzes citation contexts to assess the reliability of claims and supports researchers by highlighting supporting or contradictory citations.
• Semantic Scholar offers free AI search across 200+ million papers, extracting insights and identifying connections to aid discovery.
• SciSpace AI-powered platform or "co-pilot" assists researchers, students, and academics in research and writing.
• Open Evidence is an AI tool that provides quick evidence-based answers to clinical questions at point of care.
• Otto-SR specializes in automating systematic reviews, focusing on screening and data extraction for large research projects.
• PubMed.ai tailored for biomedical research and uses AI to enhance search precision within PubMed.
• Undermind.ai provides in-depth searches, generating overviews 10-50 times more effectively than traditional methods like Google Scholar.

• Access to broad corpus using retrieval augmented generation (RAG): Semantic Scholar and Elicit.com use generative searching of a large number of papers (e.g., Semantic Scholar’s 200+ million papers) to ensure comprehensive literature coverage.
• Semantic searching: while traditional databases rely on exact keyword matches, AI tools such as Elicit.com, Semantic Scholar, and Undermind.ai use semantic understanding to interpret natural language queries and find conceptually relevant / related papers.
• Data extraction and summarization: Elicit.com and Scite.ai extracts key information (e.g., study methods, findings, sample sizes) from papers and present it in structured formats, such as tables or summaries, reducing manual effort.
• Citation analysis: Scite.ai analyzes how papers are cited (e.g., supporting or contradicting) for insights and metrics/impact.
• Automation of research workflow: Otto-SR and Elicit.com streamline systematic reviews by automating screening, data extraction, and synthesis, potentially reducing research time by up to 80%.
• Specialized niche tools: PubMed.ai focuses on biomedical literature, while Undermind.ai emphasizes in-depth, iterative searches for complex research questions, tailoring results to specific fields.