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WISEST Project: An AI tool to help assess the strengths and limitations of systematic reviews, especially when multiple exist on the same topic /
Protocol and plan for the development of the automated algorithm for choosing the best systematic review
- Carole Lunny
- SERA WHITELAW
- Nicola Ferri
- Aoife O'Mahony
- Yuan Chi
- Dawid Pieper
- Salmaan Kanji
- Pierre Thabet
- Andrea Tricco
- Jacqueline Thompson
- Harrison Nelson
- Sara Tasnim
- Sara Tasnim
- Cynthia Ramasubbu
- Emma Reid
- Sai Surabi Thirugnanasampanthar
- Janet Zhang
- Lindy Pangka
- Reema Abdoulrezzak
- Kevin Kang
- Parisa Safavi
- Anmol Sooch
- Wendy Zheng
- Banveer Kalkat
- Sai Surabi Thirugnanasampanthar
- Parisa Safavi
- Dian Wang
- Areti Angeliki Veroniki
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Category: Methods and Measures
Description: We aim to develop an automated algorithm which will help clinicians and decision makers to help them choose between multiple SRs on the same clinical, public health or policy question. Our automated algorithm will have significant impact and application worldwide to every field of health research. We, as an academic group of methodologists and clinicians, would love to meet with anyone interested in partnering or funding our multi-year project. Please contact carole dot lunny at ubc dot ca
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