by Kerstin Nothnagel, Postgraduate researcher and PhD student, Centre for Academic Primary Care, University of Bristol
I’m a doctoral researcher in the second year of my PhD at the Centre for Academic Primary Care, University of Bristol, focusing on something that feels very timely—and occasionally, just a bit sci-fi: how artificial intelligence can change the way we diagnose and treat illness.
My research lives in the real-world space of primary care, where many diagnostic gaps still exist. One of the things I’m investigating is whether AI-guided ultrasound can support GPs and nurses in diagnosing deep vein thrombosis (DVT) right at the clinic—or even in patients’ homes—without requiring specialist ultrasound skills.
With step-by-step AI guidance and image uploads to a cloud dashboard for remote specialist input, we could speed up diagnosis, reduce complications like pulmonary embolism, and skip the often long and stressful wait for hospital-based imaging.
Sounds promising, … Read more