AI-assisted authorship
Storytelling
Virtual companionship
LLM powered sandbox for imagination
Natural Language Processing playground
Customizable AI output
Image Generation
AI module training
Rayyan, Seamless - AI Literature Review Tool for Scientific Research, DistillerSR, ResearchBuddy, Elicit AI, RatingHub, SciReviewHub, CambrianCopilot, NovelAI - The AI Storyteller, Review Insights Pro are the best paid / free ai assisted literature review tools.
AI-assisted literature review is a process that leverages artificial intelligence and machine learning techniques to streamline and enhance the traditional literature review process. It involves using AI algorithms to search, screen, and analyze large volumes of research papers and publications, helping researchers identify relevant studies, extract key information, and synthesize findings more efficiently and effectively.
Core Features
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Price
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How to use
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NovelAI - The AI Storyteller | AI-assisted authorship |
1 $10/month (USD) Access to Kayra, our top of the line AI Storyteller. Unlimited Text Generations. 3072 Tokens of Memory. 1000 Anlas Refilled every month. Advanced AI TTS. Image Generation.
| NovelAI is designed to assist writers and storytellers in creating unique and engaging content. Users can start by signing up for a monthly subscription, then they have access to our AI Storyteller, Kayra. They can input their own writing prompts or ideas, and the AI will generate human-like writing based on their input. Users can customize the AI's output, visualize characters and moments with Image Generation, and even train AI modules with their own data. NovelAI provides a user-friendly interface and the freedom to explore different themes and writing styles. |
Elicit AI | Search for relevant papers without exact keyword matches |
Basic $0 Explore features like searching papers, extracting data, and finding concepts with 5,000 one-time credits.
| Utilize Elicit to search, summarize, extract data, and interact with over 125 million papers for efficient research tasks. |
Rayyan | Rayyan understands language, learns from your decisions, and helps you work quickly through even your largest systematic literature reviews. It offers AI-powered in-app help, advanced filtration, mobile app access, and more. |
Individual Free For early career researchers just getting started with research.
| Rayyan empowers researchers to work remotely and collaborate with a distributed research team. It provides intuitive, scalable, and fast tools for completing literature reviews and systematic reviews. |
DistillerSR | Automated literature reviews |
Academic & Student Contact sales for pricing details Suitable for academic researchers and students.
| 1. Login to DistillerSR. 2. Choose a project. 3. Import references. 4. Conduct literature review. 5. Analyze results. |
Seamless - AI Literature Review Tool for Scientific Research | Finds relevant, up-to-date papers |
10 credits 5€
| Draft your Literature Review 100x faster with AI. Find relevant papers and create a draft directly from an excerpt of your work. |
ResearchBuddy | ResearchBuddy offers the following core features: 1. Automated literature review process 2. Intelligent information extraction and analysis 3. Summary of key findings 4. Structured presentation of relevant articles | To use ResearchBuddy, simply sign in to your account and enter your research topic or keywords. The app will then extract and analyze relevant articles, summarizing key findings and presenting them in a structured manner. | |
Review Insights Pro | Advanced sentiment analysis | To use Review Insights Pro, simply sign up for a free trial and start analyzing your customer reviews. The platform uses advanced algorithms to analyze sentiment, topics, keywords, and aspects of the reviews. With the insights gained, you can make data-driven decisions, address customer concerns, and improve your products or services. The app and Chrome extension provide an easy-to-use interface for managing reviews and crafting professional responses. | |
CambrianCopilot | Search over 240,000 ML papers | To use CambrianCopilot, simply search for ML papers using keywords, authors, or specific topics. You can also fetch the latest papers published today. Once you find relevant papers, you can save them as bookmarks or organize them into folders. Additionally, you can share papers, bookmarks, and folders with others in your network or make your profile public to showcase your thoughts and research contributions. | |
SciReviewHub | The core features of SciReviewHub include AI-driven literature review, context understanding, connection mapping between studies, consolidation of relevant information, suggestions for new pathways, and unearthing hidden connections. It also provides the latest research trends, knowledge gap identification, and boosts research productivity by significantly reducing the time spent on literature review. | To use SciReviewHub, simply sign up and create an account. Once logged in, you can input your research goals or topic of interest. The AI technology will then analyze and sift through thousands of scientific papers to provide you with the most relevant information and insights. You can navigate through the suggested pathways and hidden connections to enhance your research. SciReviewHub is available 24/7, serving as your research assistant. | |
RatingHub | Reviews Sync: Automatically sync reviews from all outlets including competitors on different channels | Business $25 Unlimited user accounts. Unlimited reviews. Unlimited channels. Advanced reviews filtering. Data reporting. Multi-channel QR landing page. AI weekly digest. AI response writer | Try RatingHub free and start gathering and analyzing reviews from multiple channels like Google, Facebook, Tripadvisor, and more |
In the biomedical field, AI-assisted literature review is used to expedite evidence synthesis for clinical guidelines and drug discovery
In the social sciences, it is applied to map out research trends, identify knowledge gaps, and inform policy decisions
In the business domain, it is used for competitive intelligence, technology landscaping, and patent analysis
User reviews of AI-assisted literature review tools are generally positive, with many praising their time-saving and efficiency benefits. Some users appreciate the ability to customize search strategies and screening criteria, while others find the visualization features helpful for exploring and interpreting the data. However, some reviewers note that there is a learning curve associated with using these tools, and that they may not be suitable for all types of literature reviews. Overall, users recommend carefully evaluating different tools and their capabilities to find the best fit for a given research project.
A graduate student uses an AI-powered tool to quickly identify and summarize key papers for their thesis literature review
A research team applies machine learning to screen thousands of abstracts and full-text articles for a systematic review on a medical topic
A policy analyst leverages sentiment analysis to gauge public opinion on a controversial issue based on online news articles and social media posts
To implement AI-assisted literature review, researchers typically follow these steps: 1) Define the research question and search strategy, 2) Select appropriate databases and AI tools, 3) Train the AI models on a subset of manually reviewed papers, 4) Run the AI algorithms to search, screen, and analyze the literature, 5) Validate and refine the results through human review, 6) Synthesize the findings and draw conclusions. Prerequisites include access to research databases, programming skills (e.g., Python), and familiarity with AI/ML concepts.
Saves time and effort in searching and screening large volumes of literature
Improves the accuracy and consistency of study selection and data extraction
Enables discovery of new insights and patterns through text mining and data visualization
Facilitates collaboration and reproducibility by providing a transparent and systematic approach
Allows researchers to keep up with the rapidly growing body of scientific literature