Research Screener vs RobotReviewer
Research Screener
researchscreener.comRobotReviewer
robotreviewer.netSide by side
| Figure | Research Screener | RobotReviewer |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 2 |
| Spec score · AI Literature Review Software | 7.0 (#31) | 8.4 (#6) |
| Purpose | Research Screener uses machine learning to help find relevant research faster during systematic reviews. | RobotReviewer automatically annotates clinical trial PDFs with PICO characteristics and likely bias assessments using the Cochrane Risk of Bias tool. |
| Support | The site lists Dr. Leo Ng and Dr. Kevin Chai as contact people and provides [email protected]. | The project directs users to an email address for questions and integration assistance. |
Plans
Research Screener
- 40% discountA$150, paid once
- 20% discountA$200, paid once
- StandardA$250, paid once
In their own words
Research Screener
Research Screener has no write-up on Specifiction yet; its figures are above.
RobotReviewer
RobotReviewer analyzes clinical trial reports by annotating PDFs with PICO characteristics and likely bias assessments using the Cochrane Risk of Bias tool. Uploading PDFs on the website extracts key data and presents a summary table. Its REST API can process groups of clinical trial reports to synthesize results across trials. The project is open source under GNU GPL version 3.0 and is free to use. It can run locally as Docker services, with a web app and API server exposed on local ports. The self-hosted processing setup uses Grobid, RabbitMQ, Celery, and SciBERT through bert-as-a-service. Docker instructions cover GPU use, and the worker can also run CPU-only. Manual setup calls for Python 3.6, TensorFlow 1.12.0, and the associated processing services. Installation is documented as tested on Ubuntu and Mac OS; Windows works with substantial installation difficulty. Maintainers ask users to cite the 2017 ACL paper and invite questions by email, including requests for help integrating RobotReviewer into other software.