Artificial intelligence has rapidly upended many industries and processes, giving people new ways to get things done faster and more effectively. Academic research is one of these areas of change, primarily due to the rise of AI in library databases and other well-established tools. Generative AI has become a particularly popular type, especially when brands integrate it into chatbots.
When people use research databases and academic platforms with AI features, they can find authoritative information faster, cite sources more efficiently and accelerate steps that once consumed significant time. Which research databases have generative AI features, and how can they help professionals and other relevant users who need to write papers or stay abreast of the latest developments in their fields?
Products appeared on this list due to characteristics that would help researchers maximize their time and work, such as the database’s size, user-friendliness and how well the AI components integrate into typical workflows. Whether products offer a trial or low-cost plans influenced the content because individuals trying new tools appreciate opportunities to become acquainted before subscribing. Feedback about how these research databases and academic platforms with AI features helped people also mattered due to the firsthand perspectives.
Dimensions provides a product suite that saves people time and gives full-text indexing for over 70% of the publications in its database. Because this brand has the largest collection of interconnected research data and layers the content with visual applications, users can look forward to discovering the information they need and want more efficiently.
Dimensions Analytics is a platform that interlinks research information across publications, grants, and clinical trials. People who need to integrate existing internal content or create a customized business solution can work with the company’s data science experts to explore the possibilities.
The AI summarization feature allows for rapidly generating summaries of the most relevant content with a few clicks, streamlining the research process and creating more impactful results. Research GPT is a tailored version of OpenAI’s ChatGPT that provides a conversational interface to help users unlock discoveries grounded in scientific evidence. Offerings like these increase productivity and assist people in achieving other measurable benefits, no matter their previous AI experience.
Elicit is a multifunctional tool that helps researchers collect and screen papers to generate summary reports. Whether users need quick answers or support during long projects, this platform assists with both and everything in between.
Once users find papers, they can use AI to generate literature reviews spanning 10 pages or more to summarize all the published evidence. Search alerts also provide notifications of the most useful terms or keyword phrases, aiding people in staying on top of developments.
Screening criteria features let people narrow broadly applicable search results to find the most pertinent ones. They can also determine why Elicit included or excluded specific papers, providing more transparency into how the AI works and building its credibility.
Because Elicit can find and analyze up to 1,000 papers at once, it saves researchers time while ensuring thorough outcomes. This product also ranks them according to their similarity to a query, showing users those most worth further attention.
Scopus AI is a research database offered by Elsevier, a worldwide leader in advanced information and decision-support products for science and health care professionals. With its foundation in academic rigor, this tool accelerates workflows, identifies data-related patterns and supports people in demonstrating strategic thinking.
People can interact with Scopus AI by entering queries in preferred formats and languages. This flexibility helps them make the most of the technology, even as inexperienced users. Those prompts generate topic-based and expanded summaries, complete with details of the sources used and an indicator of the tool’s confidence in their relevance.
This product also suggests questions to let people dive deeper into the research or create new ones with conversational language. Each query generates an interactive concept map showing a broad view of the topic and how it relates to other research areas, enabling users to expand their knowledge.
The Zendy database gives researchers access to over 54.6 million academic publications and millions of e-books. They can try numerous AI tools inside an intuitive interface that uses the technology to highlight key concepts within papers, summarize long articles or organize content for easy, fast retrieval later.
Because Zendy is a multidisciplinary platform, it caters to students and professionals in biology, engineering and many others. A user-friendly citation generator allows people to give the appropriate credit with a few clicks and choose a preferred style. They can copy the details to a clipboard and paste them into complementary tools to improve workflows and maintain accuracy.
AI-driven analyses save people up to 80% of their time and generate verifiable, clickable references. That information boosts confidence and lets them explore the papers the technology used when creating its responses. The company trained its custom-built large language model on millions of high-quality research articles, giving the tool a trustworthy foundation.
Semantic Scholar is an established database for scientific literature that includes AI features to improve results. Its AI-powered tools help users grasp an article’s main points at a glance, revealing whether they should study the content in more detail. A machine learning model can also highlight highly influential citations by determining the number to a publication and the context of each. That information raises productivity by narrowing results and maximizing impacts.
The built-in citation assistants allow sourcing in numerous formats through on-screen, interactive choices. AI-enabled feeds also automatically generate paper recommendations, accelerating research and informing people.
Users can set up Semantic Scholar to receive alerts about new citations or papers associated with specific authors. Parties with published works may similarly claim author profiles to get notifications of new articles citing them. These capabilities help researchers become aware of additional academics in respective fields, build influence through their work and find the most valuable sources.
Parties interested in learning more about AI in library databases can experience the possibilities with EBSCO, a leading provider of evidence-based tools for academic, K-12 and public librarians. The company develops and distributes numerous AI-powered products according to a core set of responsible usage principles.
Entities subscribed to EBSCOhost or EBSCO Discovery Service can use the AI Insights tool, which highlights 2-5 of an article’s key points. That information helps researchers quickly identify the most relevant sources and determine where to focus their subsequent efforts. The content comes from multiple databases, and users see it in a consistent format, maximizing readability and comprehension. A human-in-the-loop process uses subject-matter experts to check for biases, accuracy and other necessary aspects.
The AI Insights product presents the information in an easy-to-read format, including features such as bullets. Novice researchers and those with extensive experience benefit from time-saving advantages. Alternatively, individuals with EBSCO’s Dynamic Health and DynaMedex products can use Dyna AI to receive trusted, clinical decision-making support through relevant, rapidly delivered material.
Consensus is an AI-powered academic search engine that people can try for free to see if it fits their current challenges and needs. The helpful built-in prompts encourage users to expand their initial queries, helping them find new insights instead of potentially overlooking them.
The company’s Pro plan can analyze up to 20 papers, while its Deep tier creates a literature review containing as many as 50. This flexibility allows people to use AI based on their needs and budgets.
The database includes content from over 20 fields, making it a one-stop resource for researchers across disciplines. Checkboxes beside each one let individuals include multiple topics or just one, depending on their planned scope and other requirements. A methodology feature allows filtering by study design, whether for meta-analyses, case reports, animal studies or additional types.
This resource has academic studies from more than 230 countries. It gives users a global perspective that could allow them to expand their efforts and get comprehensive results.
Undermind is an AI-powered research platform for exploration. It provides robust search results for queries formatted in conversational language or with keywords, supporting multiple methods and elevating usability.
Notifications of recently published papers let researchers stay current and pull from the latest literature when writing their articles. An integrated novelty assessment allows proposing potential topics and learning whether they are noteworthy or already extensively covered. The available cross-disciplinary insights empower professionals to discover connections between their fields and related ones, unlocking valuable discoveries.
Users can also identify research gaps, illuminating potential lesser-covered areas to explore. The ability to scope complex topics before extensively investigating them helps time-pressed academics determine which directions to take for optimal outcomes.
Intelligent search features adapt to the inputted queries while following citation trails. This product improves over time and builds its knowledge after examineng the literature. Undermind can track topics of interest and recommend papers to study, saving researchers time and maximizing their impact.
This list provides an excellent starting point for academics, students and others who want to know which research databases have generative AI features. Those interested in the technology who feel unsure about budgeting for subscriptions should look for options with free trials or ask about AI in library databases on their campuses. These can help them learn about the technology’s capabilities before making financial commitments.
Educational intelligence is a critical component of universities that want to design student-first programs focused…
If you ask 10 different people to describe the ideal girlfriend, you'll likely receive ten…
Introduction to Cyber Resilience Cyber resilience has gained paramount importance in our increasingly digital environment…
Afdah is a movie streaming website where users can watch the latest video content without…
The demand for efficient and cost-effective communication methods is rising. Online fax services offer an…
The e-commerce industry has had a year like no other, marked by political and economic…