Systematic Review Robot
System Requirements
Windows
Minimum
OS
Windows 10 (64 bit)
Processor
Intel® Core ™ i7-10510U CPU @ 1.80 GHz 2.30 GHz
Memory
16 GB RAM*
Graphics Processing Unit
Not necessary*
Storage
10-20 GB per systematic review project**
Recommended
OS
Windows 10 (64 bit)
Processor
Intel® Core ™ i7-10510U CPU @ 1.80 GHz 2.30 GHz or newer
Memory
16 GB RAM*
Graphics Processing Unit
Any CUDA-Enabled Nvidia GPU*
Storage
10-20 GB per systematic review project**
Use Systematic Review Robot with GPU
Systematic Review Robot uses deep learning for full-text screening process and data extraction. If a GPU is not available, the CPU will perform the data work.
Systematic Review Robot can use CUDA-Enabled Nvidia GPU.
If a CUDA-Enabled Nvidia GPU is available, Systematic Review Robot will perform faster full-text screenings and data extractions.
Click the following link for a complete list of CUDA-Enabled Nvidia GPUs: https://developer.nvidia.com/cuda-gpus
Memory storage
Systematic Review Robot automatically saves the deep learning models of each systematic review project either for full-text screening or data-extraction.
For data-extraction, each model occupies around 392 MB of HDD memory. The number of models needed depends on the data objectives of your data extraction. For a data extraction spreadsheet with 25 data objectives, you will need around 10 GB of memory available in your Disk Drive.
Systematic Review Robot on macOS
Systematic Review Robot will be available for macOS late summer of 2024.
Read the Systematic Review Robot manual
Learn how Systematic Review Robot works and how to start a data screening or data extraction process.
Learn Systematic Review Robot
Still have questions
Check our frequently asked questions sections to learn more.