Collecting standardized data allows any AI pipeline to be enhanced with both easier model training and a better user experience during the deployed model inference.
In 2020, for the first time, multiple CROs (contract research organizations) needed to organize a high-scale remote collection of standardized data from patients and study participants with no specific equipment provided to each patient.
In a study utilizing LIQA module supervision, 87% of images had sufficient quality for further analysis, while only 32% of images had sufficient quality when data-quality improvement measures included only written and schematic instructions for participants.