{"id":4188,"date":"2020-07-04T19:21:37","date_gmt":"2020-07-04T11:21:37","guid":{"rendered":"https:\/\/cde.nus.edu.sg\/idp\/?page_id=4188"},"modified":"2023-01-30T18:02:02","modified_gmt":"2023-01-30T10:02:02","slug":"medivr","status":"publish","type":"page","link":"https:\/\/cde.nus.edu.sg\/edic\/projects\/innovating-with-immersive-reality\/medivr\/","title":{"rendered":"MediVR: VR Medical Training"},"content":{"rendered":"\n

\n\t\tMediVR: VR Medical Training\n\t<\/h2>\n\t

Project Motivation<\/strong><\/h3>\n

iDP Students Aiden Koh, Anthea Foong and Jeremy Ong saw an opportunity to transform medical education by providing medical institutions with cost effective training, a wide variety of training scenarios, and individualised data-driven feedback.<\/p>\n

Clinical consultation involves the doctors’ judgement and is based on information provided by the patient. Therefore, a great amount of training is required before a doctor can be competent to make accurate diagnosis. However, clinical consultation hands-on practices are limited and expensive. Peer-to-peer training for clinical consultation is unrealistic and does not develop students in their skills to deal with on-the-job scenarios.<\/p>\n\t

Design Solution<\/strong><\/h3>\n

MediVR offers a virtual reality training platform featuring AI patients in scalable clinical scenarios.<\/p>\n

A dialog model was built from scratch using Rasa X, RASA Core and Microsoft Azure, and trained to handle the unpredictability of patient-doctor conversations.<\/p>\n

The project adopts novel Hands Tracking, unique to Oculus Quest, and it features a refreshing new use case of this feature that has never been done before. With his\/her bare hands, users can interact with the virtual patient to execute physical examination.<\/p>\n

Lastly, MediVR provide users with objective feedback based on medical gold standards to quickly bridge their learning gaps.<\/p>\n\t\t\t\t\t\"youtube-video-thumbnail\"\n\t

Awards<\/strong><\/h3>\n