Editing AI for Scientific Literature Review (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Literature review''' — A comprehensive survey of existing research on a topic, identifying key findings, gaps, and debates.
* '''Systematic review''' — A highly rigorous literature review following strict methodology; the gold standard for evidence synthesis in medicine.
* '''Meta-analysis''' — Statistically combining results from multiple studies to produce a quantitative overall estimate.
* '''Semantic Scholar''' — An AI-powered academic search engine providing paper summaries, citation graphs, and author profiles.
* '''Citation graph''' — A graph where nodes are papers and edges are citations; AI analyzes this to find influential works and research fronts.
* '''Paper embedding''' — A dense vector representation of a paper's content enabling semantic similarity search.
* '''SPECTER''' — A document-level embedding model for scientific papers, pre-trained on citation relationships.
* '''Elicit''' — An AI research tool that searches papers and extracts specific information in response to questions.
* '''Consensus''' — An AI tool that searches scientific literature and synthesizes consensus views on research questions.
* '''Information extraction (scientific)''' — Automatically extracting structured information from papers: methods, datasets, metrics, conclusions.
* '''Research gap identification''' — Using AI to find areas within a field where research is sparse or contradictory.
* '''Scientific claim verification''' — Matching claims against published evidence to assess support or contradiction.
* '''CORD-19''' — A large dataset of COVID-19 papers assembled for AI research during the pandemic.
* '''PubMed''' — The primary database of biomedical literature; over 35 million citations; free API.
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