OpenEvidence is a tool designed for the rapid search, synthesis, and delivery of up-to-date medical information within the clinical workflow. It displays the information sources on which its answers are based, allowing users to verify their accuracy. Users can also ask follow-up questions, either based on the tool’s suggestions or of their own choosing. In addition, it offers a “Deep Consult” option for more in-depth searching, as well as the ability to upload files.

Information sources: Articles from high-impact journals indexed in PubMed (approximately 30% of PubMed content, according to company data—details not available on the website) and U.S. clinical guidelines (specific sources of the guidelines are not disclosed).

Special features: The company signs content agreements with publishers and medical associations, giving it access to the full text of articles behind paywalls and thereby improving the accuracy of its answers. Dotflows allows users to save fixed prompts throughout the workflow. The tool can also provide practice questions for the USMLE exam (via the side menu) and clinical trials data. In addition, it supports patient case management and integration with institutional systems, and is HIPAA compliant.

Apps: iPhone, Android  

Usage Costs: The system implements a restricted access model for the general public, while offering unrestricted usage to healthcare professionals. Free access can be obtained through authentication with various license numbers, including Israeli MOH numbers. Medical students may register for free by uploading a photo of their student card (via the “other” option. In cases where this identification method is not successful, users are directed to contact the provided email address for further assistance: help@openevidence.com 

Link: https://www.openevidence.com/

Additional information: https://www.openevidence.com/user-guide

Last update: 03.5.26

EvidenceHunt, developed in the Netherlands, offers multiple modes of interaction. Users can pose questions in natural language via a chat interface (including support for Hebrew/Arabic input), conduct searches using PICO framework fields or disciplinary categories, or utilize PubMed’s algorithmic search methodology in the Search interface. The chat interface generates summarized information with accompanying references in response to queries, while also facilitating follow-up questions. The search results can be filtered by journal ranking (it appear as Impact Factor but the tool does’nt use the original IF by Clarivate), year, type of study or sample size. Focus on articles related to cost-effectiveness  is only available in the search interface based on PICO. Filters must be selected before the query is used in the chat.

Information sources: PubMed, synced daily. Since April 1 2026 coveres also data from Semantic Scholar and OpenAlex. Adding personal sources is available for paid users only.

Special features: CSV or RIS files of the selected articles can be downloaded (RIS only in the paid version).
Each result includes tags representing PICO characteristics.
After getting an initial answer in the chat, it is possible to choose specific sources and run the response generation again (available only in pro searches).
It is also possible to generate tables from the results and download them as a file.
Answer formatting into different styles is available in the paid version only.

Usage costs: Basic use of the chat is free (up to 3 queries per week with advanced filters are also free for non-paying users). There is an option for a paid premium account (personal, teams or institutional). In the premium account, advanced model is activated for more accurate and comprehensive summaries. The search feature is free of charge.

Link: https://evidencehunt.com/

Last update: 20.04.26

IncitefulMed is a second tool developed by Inciteful. The original tool is based on citation network analysis and is designed for interdisciplinary literature discovery. IncitefulMed is intended for searching and summarizing medical information.

At present, the primary focus of the tool is on patients; however, it is also suitable for healthcare professionals and caregivers (e.g., family members). The interface includes dedicated tabs for each target population as described above, although currently there is no difference in the responses generated based on the user type selected.

Search Mechanism:
Work within the tool begins by entering a free-text question into the chat interface. Queries may be submitted in multiple languages. The tool decomposes the question into topic-based sub-questions and identifies relevant seed articles for each through a combination of semantic search and keyword matching. It then expands the search using citation graph analysis (as implemented in the original Inciteful tool) for each sub-question.

After retrieving the relevant articles (abstracts or full text, when publicly accessible), the content is processed by a large language model (the specific model may vary over time) to generate a summary of the information. Users may also upload files to provide additional context for their query.

Sources of Information:
The tool synchronizes daily with PubMed. It also incorporates metadata from OpenAlex. If the query includes a request for clinical trial information, an additional search is conducted in ClinicalTrials.gov. Integration of drug-related information from RxNorm is planned.

Special Features:
The tool suggests follow-up questions, including recommendations for issues that may be important to discuss with a physician. Users can create dedicated project/patient folders for different individuals or topics, within which all relevant questions are stored.  Memory is maintained at the project/patient level, so the project folders retains memory of files uploaded across all threads within that folder. Therefore, if uploaded files are not relevant to all threads, it is advisable to create a separate project/patient folder.

Usage costs: Free (for now?).

Link: https://incitefulmed.com/

Additional Information: https://incitefulmed.substack.com/

Last update: 05.03.26

A dedicated version of ChatGPT for healthcare professionals. It is currently available to physicians, physician assistants, nurses, and pharmacists in the United States, and is expected to become available in additional locations in the future. Among other features, the system offers access to advanced models; reusable Skills for clinical workflows, such as referral letters, prior authorizations, and patient instructions; search based on peer-reviewed medical sources; in-depth literature reviews across medical journals, with the ability to define trusted sources and generate a cited report; optional support for HIPAA compliance; and account security and privacy protections, including not using conversations to train models and safeguards such as multi-factor authentication.

Usage cost: free

Additional information: https://openai.com/index/making-chatgpt-better-for-clinicians/

Last update: 3.5.26

A National Library of Medicine (NLM) tool that enables users to formulate search queries in the form of a sentence or paragraph and retrieve sentences or paragraphs with similar content from scholarly articles. The first version of the tool was released in 2018, with version 2 launched in 2025. It is designed to support literature reviews, fact-checking, and targeted information extraction.

The search process is conducted in two stages: an initial filter based on keywords, followed by ranking of the results according to semantic similarity. For sentences, the minimum similarity threshold is 60%; if no matches are identified, the threshold is reduced to 30%. If no matches are found even at this level, the system does not return results. For paragraphs, the minimum similarity threshold is 30%, which may be lowered to 10% if necessary.

Information source: Abstracts from PubMed (over 38 million) and full-text articles from PubMed Central (over 6 million). The database is updated weekly with newly published articles.

Special features: Search results can be filtered according to the section of the article in which the sentence appears (e.g., abstract, introduction, conclusions, and so forth). Entities within the text—such as diseases, drugs, genes, and others—can be highlighted.

Limitations: The tool does not filter out duplicate articles in the results, and the results can only be downloaded in TSV format.

Usage costs: Free

Link: https://www.ncbi.nlm.nih.gov/research/litsense2/

Additional Information:

https://academic.oup.com/nar/article/53/W1/W361/8133630?login=false

Last update: 3.11.25

Elicit is a search engine that utilizes semantic search to extract information from articles. Available since 2021. 

Information sources: Semantic Scholar, PubMed – weekly update. Paid accounts also include information from ClinicalTrials.gov. Alerts (available only with a paid account) also make use of data from OpenAlex.

Special Features:

Elicit includes several built-in tools for literature review and data analysis. The basic tool (find papers) allows users to search for academic papers and extract specific information from them in table format. After formulating a research question, the tool suggests possible improvements to the query. Once the search is run, in addition to the results table, Elicit displays a chat tab for interacting with the papers and another tab suggesting potential table columns based on the research question. Users can adopt these suggested columns or create custom ones.

It was possible to select multiple results from the table and click “Search citation trails” to enrich the semantic search through citation connections—this feature previously worked but is temporarily inactive following a version update and is expected to return soon.

Users can also upload PDF files to a personal library for analysis and “conversation.” The library supports organizing files into collections and detecting duplicates.

Elicit also includes an agent, which is now available to all users, albeit with certain limitations for free accounts. The agent has access to additional information sources beyond papers, including general web search, information on clinical trials, and more. It also allows the creation of customized outputs. Presentations and visuals creation ia available in the paid plans. Additional information about the agent is available at the following link.

The Research Report feature that generates a report based on a research question. The report covers a limited number of articles and cannot be edited in the free plan (but can be downloaded as a PDF). In the paid version, users can generate extended reports, edit them, and add chosen papers. The number of reports that can be created per month in the free plan is limited.

Search results can be exported as CSV, RIS, or BibTeX files — available only in the paid plan.
Elicit can sync with Zotero for uploading articles only (configured via account settings, not a live sync).
It also supports article screening for systematic reviews (paid plan only) and offers email alerts for new papers based on past searches  in the paid version.

Usage cost: A free basic account allows unlimited article searches (with up to two additional columns in the table), as well as PDF analysis of up to 20 files per month. Research reports include analysis of a limited number of articles and cannot be edited.  The dedicated tool for systematic reviews is available only with a paid plan, as are data export and alerts for new articles. A new agentic workflows feature and  data extraction from figures are also available in paid accounts only. 

Link: https://elicit.com/

Research reports video tutorial

Last update: 03.05.2026

ORKG Ask is a tool developed by The Open Research Knowledge Graph (ORKG) project. It is designed for searching and summarizing scientific information based on text analysis. To access full functionality and save search history, users are required to create an account.

Information source: a dataset sourced from the British multidisciplinary open-access article repository, CORE. As of today, the data is updated annually, but there are plans to transition to continuous updates in the near future. The tool’s statistics page provides the latest coverage information.

Special features: The information summary is generated by the Mistral Instruct 7B v0.2 chatbot. After submitting a question in the chat, a brief summary of the topic is provided, along with a table containing various characteristics of the articles, which can be edited as needed. A CSV file with the table’s information can be downloaded. By default, five articles are shown in the results, but more can be added by clicking the “Load more” button at the bottom of the page.

Disadvantage: It is not suitable for searching for very recent information, as the current update is delayed by approximately one year.

Usage costs: Free

Link: https://ask.orkg.org/

Last update: 3.11.25

Consensus is an AI-based search engine where users can enter a free-text question in the search box. It uses semantic search along side keyword search and also supports Boolean operators (AND/OR/NOT). The tool offers features such as information summarization, outline creation, presentation content, and summary tables. There are three modes: Quick (free, up to 10 articles, shorter outputs), PRO (up to 20 articles, 15 monthly credits for free users), and DEEP (up to 50 articles, 3 free credits per month or 100 for paying users). After performing a search, results can be displayed in a table view with columns such as Population, Intervention, and others. In the free plan, only the first three articles are shown in the table.

In the Pro and Deep modes the full text of the paper is analysed if available. When writing a prompt in DEEP mode, it is possible to apply filters within the prompt—for example, to request articles published up to a certain year, from a specific journal, and so on. In PRO mode, users can also search by author name to receive a summary of their work and relevant references. In Pro mode and in deep search, it is also possible to obtain various visualizations, such as citation networks, research gaps, and strength-of-evidence rankings.

Support and focus on medical research:
The search supports MeSH terms and allows users to limit results to medical journals only (this is the list of medical journals included, in addition to ~50,000 clinical guidelines, in total of about 8 M papers).

Information source and update frequency:

Semantic Scholar, updates monthly according to Semantic Scholar’s update frequency.

Special Features: The tool got its name from its ability to display the balance of support or opposition on a given yes/no question . It displays, alongside the article title, the answer from the article to the posed question. Enables a “conversation” with a single article for summarization and answering questions (currently in beta, available only for open-access articles, covering approximately 10% of the articles accessible through the tool at present). It is also possible to upload PDF files or locate a specific article by its DOI number by pasting the number into the tool’s search box.  Results can be downloaded in CSV or RIS format. Filters include evidence quality, sample size, SJR ranking, and research field. Recently, filters for study duration and country have been added. The tool allows searches in multiple languages, including Hebrew and Arabic, and provides search history. In the personal profile, users can select their preferred language for receiving information, which currently includes Arabic and Russian, though Hebrew is not yet supported. Search results can also be saved directly into various citation management software, including Zotero.  LibKey integration is available in Cosensus (not applicable for the full text analysis). It is now possible to upload papers to Consensus directly from Zotero and reference them during the search process. Additionally, the platform now enables the generation of citation network graphs (currently in beta).

Usage cost: A generous free account includes unlimited quick searches and monthly renewable credits for PRO and DEEP modes.

A link to the tool: https://consensus.app/search/

A link to a dedicated GPTs of Consensus in ChatGPT: https://chatgpt.com/g/g-bo0FiWLY7-consensus

A Link to Video tutorials

Last update: 22.03.26

ScienceOS  is an AI search engine based on semantic search, developed in Germany.  The tool includes a Chat-based interface, and for each query in natural Language the users receive a well-formulated answer supported by citations from articles within the text. SCImago rank is available for each paper. To obtain a list of articles or their citation network, users can click the appropriate button below the response.

It also enables the use and creation of AI Actions, saved prompts for various recurring tasks such as creating presentations and summarizing articles. There are several ready-made prompts, and users can create additional custom prompts.

Information source and update frequency: Semantic Scholar, updated every two weeks to once a month, depending on the update frequency of Semantic Scholar.

Special features: certain answers or chats can be saved by clicking the star icon, and then it can also be annotated. Users can create tables and diagrams and upload up to 4000 PDF files (or RIS/BIBTEX files, or direct from Zotero) for further work. Deep research option is available in the paid version only. Citation networks can be built in the library too. Shareable projects are also available. 

Usage costs: A chat based on less-advanced model is available for free, with a maximum of four questions per conversation for free users. More advanced models are available for paid users only. Chat with PDFs is available for paid users only.

Link: https://scienceos.ai/

Link to video tutorials

Last update: 21.04.26

The Scite tool began as a platform that characterizes the sentiment of citations in articles as neutral/supporting/contradicting the cited paper. It later evolved into a tool that also allows article searches and includes a chatbot to assist with text writing. The searches performed by the tool are carried out by converting the user’s questions into Boolean queries.

Main information sources: Not based on a specific database, but on articles for which the company has access to the full text for information mining. Scite has signed agreements with various publishers to obtain access.

Special features: The tool offers a free browser extension that provides information from anywhere on the web, including the number of citations an article has, their sentiment, and whether the article has been retracted. The search results can be formatted as a table.  Additionally, there is a Zotero plugin and a tool for checking the quality of references in an article. Available now also via an app within the ChatGPT interface and/or MCP connection (for subscribers). Integrates with LibKey for full text instetutional access.

Cost: Paid (except for the browser extension). The Pro version, available for an additional fee, enables access to information on patents, grants, and clinical trials through the MCP connection.

Tool link: https://scite.ai/

Tutorial videos: link

Last update: 09.5.26

Keenious was created by a company based in Norway. operates by analyzing the text of an article uploaded to the tool via a PDF file or text paste. The recommendation is based on term similarity, semantic analysis (based on meaning) of the text, the number of citations, and the publication date (newer and more highly cited articles are prioritized). Highlighting a specific part of the text gives it higher priority in the search algorithm.

Information source: OpenAlex

Special features: It offers add-ons for Word and Google Docs and ensures user privacy. Integrates with LibKey for full text instetutional access. Results export is available via different citation styles and file formats.

Usage costs: A free basic account allows access to 10 results, 5 AI responses per conversation, 10 conversations per day and
3 MB max file upload size.

Link: https://keenious.com/?landing

Additional information, Video tutorial

Last update: 22.04.26

The Dimensions database has introduced the option to receive an AI-generated summary alongside each article in the search results. In addition to a brief summary, users also receive key insights and a list of keywords. Dimensions is also accessible via the Dimensions Research GPT inside ChatGPT.

Usage costs: Free

Link: Dimensions

Additional Information

Undermind.ai is a tool for searching scientific information based on deep search technology.

Information source: Semantic Scholar.

Special features: The search is carried out using Deep Search technology in multiple stages and takes several minutes. Before the search begins, the tool’s  agent assists in building a precise search query. The results are organized into categories by topic, timeline, foundational articles in the field, and articles developed based on them. After the search, it is possible to interact with the results via chat, including ready-made prompts for common questions. Search results can be shared and downloaded as a PDF file. RIS or BibTeX files can only be downloaded with a paid account. Email alerts about new articles matching the queries are sent once a month by default and can be disabled if needed.

A new interface called “Projects” has been introduced. It includes three separate agents: one for searching, one for report writing, and a general-purpose agent. All searches and reports related to a project are stored in a centralized location, and there is also a dedicated folder for all articles retrieved across the project’s searches. Additional information about Projects can be found in the attached post (the section relevant to Undermind’s Projects appears approximately in the middle of the post).

Usage costs: The Pro plan is available at no cost during the first month. The free plan allows for up to five searches per month.. There is an option for a paid personal or institutional account. Creating an account is optional with an institutional email only.

Link: https://www.undermind.ai/home/

Link to Additional Information

Last update: 22.4.26

ASTA is a research platform developed by the Allen Institute for AI that enables article searches and information summarization, and a data analysis tool . The tool is based on a corpus of more than 12 million open-access articles and over 108 million abstracts in the fields of medicine, life sciences, and computer science. Its search mechanism is agentic (Deep research), allowing it to retrieve even relatively niche articles that might not appear in less in-depth searches. If further depth is required, users can type “Work Harder” in the chat window after the search is complete.

A new experimental tool called AutoDiscovery is a platform that enables the discovery of findings and the testing of hypotheses in research data. Users upload a dataset to the tool, add relevant information about the file, and define the number of hypotheses they would like to generate (it is recommended to start with around 10 in the initial stage). Link to AutoDiscovery ,Video tutorial

Another new experimental tool, enables interaction with a specific article, including its images, tables, and text. The tool is called Paper+Figure QA and accepts open access articles via links from the Semantic Scholar database.

At the start, a pop-up window appears where users can choose whether to allow the tool to train on their queries. It is also possible to register for a personal account with Google credentials to save searches.

Usage costs: Free

Link: https://asta.allen.ai/chat

Link to further information

Last update: 22.04.26

Semantic Scholar is a multidisciplinary database where searches are based on the semantic analysis of the texts of the articles it covers. It was created by the Allen Institute for AI.

Information source: It contains over 200 million articles across all fields of science, including those from PubMed.

Special features: Semantic Scholar displays citation information for articles, provides a summary sentence (TLDR) for each article, allows users to browse information by topics, and enables the creation of a personal account to receive tailored recommendations for articles based on those saved. It also serves as a source of information for many other tools.

Usage costs: Free

Link:https://www.semanticscholar.org/

SciArena is an experimental (beta) tool from the Allen Institute for Artificial Intelligence, inspired by the popular Chatbot Arena website for anonymous model comparisons. The goal of SciArena is to enable comparison of models in their ability to generate a literature review based on the article database in Semantic Scholar. The tool includes a platform where two models can be compared anonymously, allowing users to vote for their preferred model, and a leaderboard displaying model rankings according to user votes.

The information retrieval mechanism for answering questions entered into the tool is adapted from the Institute’s Scholar QA tool. The collected information is passed to two randomly selected models to formulate answers. In ScholarQA, the answer formulation is done by Claude’s Sonnet 4 model, so using SciArena effectively allows obtaining answers from other models based on the same information.

Tool link: https://sciarena.allen.ai/
More information: https://allenai.org/blog/sciarena