The application of Generative Adversarial Networks and XR technology to enhance simulation suites for medical training

The University of Salford has state of the art healthcare teaching facilities and simulation suites emulating modern hospital environments with real beds, medical equipment, advanced manikins, and props. The proposed research seeks to leverage new software technologies to further enhance the educational experience. For example, using generative adversarial networks and augmented reality to superimpose dynamic information such as patient symptoms, facial expressions, utterances and behaviours on the manikins, and meta data on their environments based on real-time student and tutor interactions. We also aim to leverage this technology for physiology learning and clinical skills procedures as well as developing a bank of scenarios to simulate real clinical practice experiences.

The project requires a candidate with a relevant 1^st class or 2:1 degree in science / engineering, with demonstrable experience of software applications development and a good understanding of object-oriented programming. The candidate should have some familiarly with, or a very keen interest in, the likes of machine learning, iOS/Android applications development and XR applications development. The applicant must also be willing to liaise effectively with medical staff and students. For example, for co-design, conducting surveys, focus groups and demonstrations, as well as publishing evaluative summaries and statistics.