We are pleased to announce an AI Implementation Contest designed to showcase real-world applications of AI in Clinical Laboratories. Through this competition, we aim to enhance clinical laboratory professionals’ understanding of AI implementation and to foster peer learning and exchange of practical experience, particularly around key technical considerations across the AI/ML implementation pipeline.
Submission should describe AI/ML systems implemented or currently being implemented in a clinical laboratory setting, whether developed in-house or provided externally (e.g. commercial AI products), and whether regulatory-approved or non-approved. Participants are expected to provide detailed information on the system’s intended use, validation or verification studies, performance metrics, workflow integration, and post-deployment quality control and monitoring strategies. Both published and unpublished applications are welcome.
Submissions will be evaluated by the C-AILM Committee based on their overall quality, including demonstration of a well-defined and logical use-case scenario, comprehensive validation or verification, and a thoughtful quality control (QC) plan with an appropriate monitoring strategy. Based on these criteria, first-, second-, and third-place winners, as well as honorable mentions, will be selected for the
IFCC Emerging Technology Division Recognition for Innovation. Awardees will also be invited to present their success stories and implementation experience at an IFCC Webinar, and their work will be featured through the IFCC communication channels including eNews and other official platforms, C-AILM website, and other social media platforms.
The contest is open for global submission. Please submit your response by July 1, 2026.
All submitted data will be treated as confidential and used solely for evaluation purposes.
Judges’ decisions are final and based on their independent and impartial assessment.
