Zongyuan Ge
Associate Professor Zongyuan Ge conducts interdisciplinary research at the boundary between Medical Artificial Intelligence, Computer-aided Diagnosis, Biomedical Engineering, Digital Health, Medical Imaging and Machine Learning and is a multi-award-winning medical information science and technology entrepreneur. His research leverages cutting-edge AI technologies using large-scale multi-modality medical data including imaging, biological signal, medical records, genomics data, multi-omics and models the clinicians’ medical knowledge underlying tasks like diagnosis, prognosis, disease management and treatment for eye (ophthalmology), skin (dermatology), heart (cardiovascular) and neurodegeneration diseases such as epilepsy and multiple sclerosis. He is also one of Australia’s most in-demand experts in advanced technology, including medical robotics and artificial intelligence, and is a passionate science communicator. His standing as a top 2% highly cited researcher since 2020 and recognition of his articles in Clarivate Analytics' list of highly cited work reaffirm the impact of his research.
Abstracts this author is presenting: