Radiologists at the University of California at Los Angeles (UCLA) are using a machine learning chatbot to communicate with referring clinicians and answer questions about proposed treatments. By using deep learning networks to analyse complex data sets, the chatbot provides insight in areas including early detection, treatment planning and disease monitoring. The chatbot, called “Doc,” is being developed by researchers from UCLA’s Center for Health Informatics (CHI) and the UCLA School of Medicine.
Radiologists at the University of California at Los Angeles (UCLA) are using a machine learning chatbot to communicate with referring clinicians and answer questions about proposed treatments. By using deep learning networks to analyse complex data sets, the chatbot provides insight in areas including early detection, treatment planning and disease monitoring. As a result, doctors are able to access information more conveniently, radiologists spend less time on the phone and patients are better informed, according to Kevin Seals, the application's programmer and a resident physician in radiology at UCLA.