Form 2.0 for Enhanced Risk of Bias & Data Extraction
New Feature: Form 2.0 for Enhanced Risk of Bias & Data Extraction We’re excited to announce the limited release of Form 2.0 on PICO Portal. Our newest update brings enhanced…
New Feature: Form 2.0 for Enhanced Risk of Bias & Data Extraction We’re excited to announce the limited release of Form 2.0 on PICO Portal. Our newest update brings enhanced…
PICO Portal is proud to be attending ISPOR 2025 in Montreal from May 13 -16 and featured in two poster presentations showcasing how AI, when designed responsibly, can meaningfully accelerate…
We’re thrilled to announce that PICO Portal has joined the NVIDIA Inception program, a fantastic initiative that nurtures startups transforming industries with AI and other technological advancements. At PICO Portal,…
We are excited to share how PICO Portal Plus+ has supported the important study on "A Long COVID Definition: A Chronic, Systemic Disease State with Profound Consequences" (2024). Our unique…
We are proud to announce that Eitan Agai, the visionary founder and CEO of PICO Portal, has been selected as a member of the GUIDING COUNCIL for AcademyHealth’s Expert Meeting…
PICO Portal announces the launch of its newest feature: Ask AI, designed to empower researchers, scientists, and systematic reviewers to generate and access valuable information about their projects with ease.…
In this commentary, we discuss ChatGPT and our perspectives on its utility to systematic reviews (SRs) through the appropriateness and applicability of its responses to SR related prompts. The advancement…
The AI revolution is significantly changing the landscape of various industries, and biomedical research is no exception. As pioneers in the field, PICO Portal has been at the forefront of…
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…
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…