Brace yourselves, researchers, for a significant evolution in systematic reviews! 🚀 PICO Portal is proud to be the first-ever evidence synthesis platform to integrate with OpenAI's GPT-4.0, paving the way to the future of research. Our newest feature offers automated "Study Selection" based on the PRISMA 2020 diagram - a…
PICO Portal (PP) prioritizes articles for review using natural language processing and active learning to monitor user decisions on eligibility during title/abstract screening. To predict eligibility, PP uses several algorithms including both decision tree (e.g., SVM, Random Forest Naïve Bayes) and deep learning (e.g., Bidirectional Encoder Representations (BERT)) models. We…
PICO Portal Plus+ is an innovative service that connects talented individuals from around the world, including clinicians, young researchers, and methodologists, with institutions in need of resources to complete their projects. The service particularly focuses on individuals who come from economically disadvantaged countries, offering them a chance to utilize their…
Everyone is looking for faster, more accurate, and efficient solutions, and this is especially true for systematic review and other literature review processes. These tasks are not only time-consuming but also require highly skilled individuals to spend time and go over hundreds if not thousands of articles. However, PICO Portal…
Now you can screen your abstract anywhere using the same PICO Portal platform. Just login from your browser using your mobile device and you are all set to continue your screening from everywhere
An entrepreneur has combined his experience in the financial technology industry with the power of artificial intelligence to increase the efficiency and success of biomedical research. Speaking on Wednesday, the founder of a startup PICO Portal told a panel of area business leaders how his company is changing how the…
Listen to a two minutes pitch on how PICO Portal started and where it is today
Workshops to Support EPA's Development of Human Health Assessments: Artificial Intelligence and Open Data Practices in Chemical Hazard Assessment Practical application of systematic review (SR) methods to the peer-reviewed literature and other data sources for chemical hazard identification is labor-intensive and costly. Advances in artificial intelligence hold promise to ease those…
PICO Portal Founder Eitan Agai will give a seminar on "AI on Contextual Machine Learning in Systematic Review" on March 25 at 1:00 PM EST. The seminar will be hosted by the Department of Computer Science and Engineering, University of South Florida.  This seminar is by invitation only.
