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What is Rayyan?

Rayyan serves as an innovative research collaboration platform that utilizes artificial intelligence to streamline the process of conducting systematic and literature reviews. By harnessing the power of AI, machine learning, and natural language processing, Rayyan enables research teams to significantly reduce the time required to complete their reviews by understanding language subtleties, learning from user interactions, and providing intelligent assistance throughout the review journey. Researchers can effectively manage their reviews with Rayyan’s AI-enhanced workbench and time-saving features, ensuring the efficient extraction and synthesis of critical information. Moreover, the platform offers a mobile application, allowing users to work collaboratively on reviews from virtually anywhere, even in offline mode, thus turning spare time into productive research sessions. Rayyan also simplifies the importation of references from various sources and includes advanced functionalities such as duplicate detection, relevance ranking, and PICO highlighting, making it an essential resource for researchers aiming to fine-tune their workflows. Additionally, its user-friendly design facilitates easy navigation, ensuring that even those unfamiliar with systematic reviews can quickly learn to leverage the platform's extensive capabilities. This accessibility fosters a more inclusive research environment, encouraging broader participation in evidence synthesis efforts.

What is Imagetwin?

In different types of visuals, such as microscopy images, light photography, and western blots, we often encounter instances of inappropriate duplication and manipulation. Imagetwin acts as a powerful resource in the peer-review framework, automatically identifying various integrity issues that can be quickly checked by reviewers. A significant number of scholarly articles reveal image-related concerns, including manipulation and plagiarism. While tools for automated text plagiarism detection are now widely used, there has been a notable absence of similar solutions aimed at ensuring image integrity until Imagetwin's introduction. The process of manually verifying images for these issues is not only labor-intensive and expensive but is also hindered by a lack of qualified personnel, resulting in numerous integrity concerns being overlooked. By integrating Imagetwin into the review process, publishers could greatly improve the efficiency and accuracy of image evaluations in academic research, ultimately fostering a more trustworthy scientific community. Moreover, the adoption of this technology may encourage more rigorous standards in image representation across various disciplines.

Media

Media

Integrations Supported

EBSCO
EndNote
Google Scholar
Mendeley
Prisma
PubMed
Zotero

Integrations Supported

EBSCO
EndNote
Google Scholar
Mendeley
Prisma
PubMed
Zotero

API Availability

Has API

API Availability

Has API

Pricing Information

$8.33 per month
Free Trial Offered?
Free Version

Pricing Information

€25 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rayyan

Date Founded

2020

Company Location

United States

Company Website

www.rayyan.ai/

Company Facts

Organization Name

Imagetwin

Date Founded

2022

Company Location

Austria

Company Website

imagetwin.ai

Categories and Features

Categories and Features

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