Khadija Mahmoud reflects on the highlights from the past year of medical school – from a virtual reality project that sparked an interest in refugee health to attending One Young World Summit.
I never imagined that my medical degree would involve a project working with chemical engineers to study the effects of a virtual reality (VR) application! During the second year of MBBS Medicine at Imperial College School of Medicine, we undertake a three-week research experience called Clinical Research Innovation (CRI).
I worked with our Digital Learning Hub and the Matar Fluid Group to study the effects of using 3D virtual reality in learning. Our research focused on transforming medical education in classrooms by increasing interactivity. Working with two others, we managed to plan, design and conduct a study of 36 participants, producing a poster to present our findings at Imperial’s annual science festival for second-year medical students. The VR application showed fluid dynamics within a liquid flow with real-time feedback and could easily replicate blood flow in an artery to allow exploration of pathologies in relation to this. (more…)
Originally published on the NIHR Blog and reproduced here with permission, Professor Andrea Rockall, Clinical Chair of Radiology at Imperial, provides an insight into whether AI can enhance human detection of bone disease.
Myeloma is a disease that affects the skeleton and can be difficult to pick up at an early stage because symptoms are often quite vague. People who suffer from myeloma may be generally more tired than usual due to anaemia and may have aching bones. As the disease progresses, thinning of the bones may result in fractures, particularly of the spine, and this may be the first time that the diagnosis is picked up. The kidneys may also be affected due to an increase in myeloma proteins circulating in the bloodstream getting caught up in the delicate kidney tubules that filter the blood. If the disease is picked up early, some of these problems can be prevented. (more…)
Dr Tim Hoogenboom, a Research Sonographer, looks at the promise and perils of machine learning in medical imaging.
Medical imaging is key in today’s delivery of modern healthcare, with an immense 41 million imaging tests taking place in England in every year. Thousands upon thousands of patients safely undergo imaging procedures such as X-ray, ultrasound, and MRI every day, and the product of these tests – the images – play an essential role in informing the decisions of medical professionals and patients in nearly every area of disease. (more…)