Despite the upheaval that AI has created in the healthcare space, the lack of well-annotated data has been the biggest challenge in the development of disease detection AI engines. It slows the process and is very expensive. Moreover, annotation and labeling demand a heavy workload from medical doctors in the development stage of medical AI engines. Applying his extensive experience in objective recognition for medical image-based diagnosis using AI deep learning, Jacob Lee found the perfect solution to reduce the burden from this data annotation and labeling process.
