Dr Sehgal qualified from The University of Liverpool in 2007 and completed his specialist training in Gastroenterology in the prestigous North East London rotation. During this time, he completed his PhD at University College London where he developed a novel tumour model of oesophageal cancer used in crucial mechanistic, imaging and pre-clinical studies. Dr Sehgal has been awareded numerous awards for his cutting edge and landmark research in this field.
Dr Sehgal has a specialist interest in the early detection of pre-malignant lesions of the Upper GI tract with particular expertise in artificial intelligence-based classification systems to improve lesion recognition of Barrett’s-related neoplasia. He also has a specialist interest in advanced endoscopic therapy for benign and malignant disorders of the Upper GI tract. He is regularly invited to present at international meetings and has published numerous original manuscripts and reviews in this field.
Dr Sehgal recently led a team that introduced a non-invasive oesophageal tissue sampling device which was used to monitor patients with pre-malignant conditions of the oesophagus instead of endoscopy which was otherwise postponed due the COVID-19 pandemic. UCLH was the first centre in the world to adopt this technology with other centres following its lead and ultimately helping to improve the care we offer to such patients.
Dr Sehgal has a keen interest in endoscopy training and is a member of faculty at the British Society of Gastroenterology and Endoscopy Training Committee for The Royal College of Physicians. He is also actively involved in numerous live endoscopy and hands-training courses at UCLH.
Dr Sehgal has a keen interest in research and supervises a research team who collect important information into endoscopic techniques and procedures he carries out to ultimately improve and streamline the care that we give to our patients. His research is focused on exisiting and novel endoscopic imaging technologies to help detect and treatment early cancer of the gastrointestinal tract including the use of artificial intelligence. His other interests include the development of minmally invasive endoscopic techniques to treat early cancers of the upper gastrointestinal tract for which he is actively involved in several national and international clinical studies in this field.