How AI Tools can help you with Reviews?
Reviews are an essential part of any research project, but they can also be time-consuming and tedious. You have to search for relevant papers, read through abstracts and full texts, synthesize key findings, and cite your sources. Fortunately, there are some AI tools that can make this process easier and faster. Here are some of the best ones:
Elicit is an AI research assistant that can help with literature reviews. It can:
- Search for relevant research papers using natural language queries
- Summarize paper abstracts
- Extract key information from full papers
It searches over 30 million open access and subscription-based papers. Elicit uses machine learning and natural language processing to provide an AI-powered search experience.
Semantic Scholar is a research paper database and search engine created by the Allen Institute for AI. It uses machine learning to help you:
- Search for relevant papers using natural language queries
- Sort papers by relevance and author influence
- View paper summaries
- Identify related papers
- Visualize how papers are connected
It has a database of over 180 million research papers.
Consensus is an AI research assistant that answers specific research questions by aggregating key findings from relevant papers. It can:
- Answer “yes/no” questions
- Provide evidence and citations for its answers
- Identify relationships between concepts
- Tell you the effects of a concept
It covers a wide range of topics but not as comprehensive as traditional databases.
Scite uses machine learning to extract useful information from research papers such as:
- Key concepts, entities and relationships
- Paper summaries
- Experimental data
It can also tell you the number of studies that corroborate or refute a claim.
Research Rabbit is a literature mapping tool that uses AI to help you visualize the connections between research papers. It can:
- Map citations and references between papers
- Cluster related papers
- Identify influential authors
- Track research trends over time
In summary, AI tools are transforming how research is conducted by automating literature reviews, extracting insights from papers, and visualizing research networks. They have great potential to accelerate scientific progress.
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