MetaScreener is provided "as-is" without any warranties of any kind, express or implied. The accuracy of AI-driven screening and data extraction heavily depends on the chosen LLM, the quality of the input data, and the clarity of the defined criteria.
Users are solely responsible for verifying all results and making final decisions. The developers assume no liability for any outcomes resulting from the use of this software.
Please use responsibly and in accordance with all applicable ethical guidelines and institutional policies.
Oxford University Clinical Research Unit, National Hospital for Tropical Diseases, Hanoi, Vietnam
Feedback
We welcome feedback about MetaScreener's performance, functionality, and improvements, especially usage data from actual literature screening workflows (sensitivity, specificity, time saved, etc.). Your real-world usage data is invaluable for improving this tool! We will include any valuable feedback in the contributions or acknowledgments.
Contributions & Acknowledgments
Shuo Feng
Faculty of Medicine, Macau University of Science and Technology
Contributed valuable suggestions for UI/UX improvements and functionality enhancements, including the implementation of pause/resume functionality for large dataset screening, optimized log display, and streamlined history record management
Provided thorough testing after each modification to ensure functionality and usability