Dear Colleagues,
I hope you’re all doing well. As we know, systematic reviews are crucial for synthesizing evidence and providing comprehensive insights into specific research questions. However, the process of conducting these reviews can be complex, demanding and time consuming. We are in the process of developing an AI-based software solution designed to assist with the article screening and data extraction stages of systematic reviews. To ensure our tool effectively addresses the needs of the research community, we’d like to learn more about your experiences and get your perspective on common problems.
· What are the most time-consuming aspects of your workflow?
· Are there particular pain points or frustrations you regularly encounter?
· How do you currently address these challenges, and what improvements would you like to see in an AI tool?
If you are interested in trying the tool or have any questions, please don't hesitate to send me a message (or visit www.revisio.ai )
Looking forward to hearing your thoughts!
Thank you for the information. I will use https://revisio.ai/ this and update you.
Hello Sridhar,
The website looks cool.
The most time-consuming tasks are identifying relevant literature and screening numerous abstracts against our criteria. The main challenges include managing large amounts of published literature and manually extracting data from articles. Currently managing these issues using different AI tools. To make this more time efficient, one could probably develop an AI system that processes multiple papers or PDFs simultaneously and provides nearly accurate results from each one.
Thank You.
Dear Sreenivas, thank you for your comment. Streamlining multiple article screening and data extraction are our main goals. We hope you will find the tool helpful when it is released.
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