Publications by authors named "Qinji Yu"
Glaucoma is a chronic neuro-degenerative condition that is one of the world's leading causes of irreversible but preventable blindness. The blindness is generally caused by the lack of timely detection and treatment. Early screening is thus essential for early treatment to preserve vision and maintain life quality.
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- Early detection of visual impairment in young children is often overlooked due to their limited ability to cooperate with standard vision tests.
- The Apollo Infant Sight (AIS) is a mobile health system that uses smartphone technology to analyze children's gazing behaviors and facial features to detect 16 different ophthalmic disorders.
- In tests, AIS demonstrated strong performance in identifying visual impairment, achieving high accuracy both in clinical settings and for at-home use by untrained caregivers.
Article Synopsis
- * The competition involved 1,096 registered teams that utilized annotated images for training and testing AI algorithms, with 225 teams completing validation and 98 succeeding in the testing phase.
- * Results indicated that diverse teams were able to quickly create effective AI models that could enhance the monitoring of COVID-19 and enable more tailored patient interventions.
Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of the disease. We organized an international challenge and competition for the development and comparison of AI algorithms for this task, which we supported with public data and state-of-the-art benchmark methods. Board Certified Radiologists annotated 295 public images from two sources (A and B) for algorithms training (n=199, source A), validation (n=50, source A) and testing (n=23, source A; n=23, source B).
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