Podium Lecture
Moderators: Sashin Ahuja, Cat Kelly
Format: 5 free papers, 4 minutes each + 1 minute for questions
15:13 – 15:18: Ali Hamad - A Comparative Performance Analysis of Large Language Models and Orthopedic Residents on an Orthopedic Board-Style Examination in Jordan
15:19 – 15:24: Kelechi Uzodinma Imediegwu - Application of AI wearable sensor technology in TKR... A systematic scooping review
15:25 – 15:30: Sunil Nikose - AI-Integrated Smart Sensor System (Smart-Step) for Early Detection and Prevention of Diabetic Foot Complications
15:31 – 15:36: Jonathan Gibson - Development of an Open-Access Deep Learning Model for Automated Cobb Angle Estimation in Scoliosis Using Radiographic Images
My name is Ali, and I’m a Core Surgical Trainee year 2 in Trauma and Orthopaedics at Basildon University Hospital. I graduated from the University of Jordan in 2021 and have been practising medicine in the UK for the past three years. I was first introduced to orthopaedics during my fifth year of medical school, and since then, it has been the only specialty I’ve wanted to pursue. I will be applying for ST3 recruitment this year, with the hope of continuing my training and building a long-term career in orthopaedics.
I’ve always had a strong passion for academia and have kept myself consistently involved in research — I’ve co-authored two papers and first-authored one. Alongside that, I’ve completed multiple audits, oral and poster presentations, all of which have helped me understand how research translates into improving patient care and surgical outcomes. Recently, I’ve developed a genuine interest in artificial intelligence (AI) and how it’s starting to shape the medical field. When ChatGPT was launched, I was fascinated by its level of reasoning and problem-solving, and it pushed me to explore how similar models could be used in orthopaedics. I’ve since completed a quality improvement project comparing management plans generated by an AI model to those actually decided in trauma meetings. I’ve also worked on a study comparing AI and human answers to examination questions. Both experiences gave me a glimpse of how AI could support clinical decision-making, but also reminded me how important human judgment and context are. As its an evolving field, efforts aimed at studying the current models and outlining the potential benefits and risks of implementing such models into practise, will greatly influence the level of involvement of AI in the future. I think this is an area that will have a huge impact on how we work as surgeons in the near future, and I want to be involved in shaping how that transition happens. Curiosity drives everything I do — surgery, research, and learning alike. The overlap between orthopaedics and AI excites me because it brings together precision, creativity, and forward thinking.
On a personal level, I’m a big sports enthusiast — I follow and play various sports, particularly football and padel, my go-to activities to unwind and recharge. I also enjoy cooking and watching wildlife documentaries, which remind me of how diverse and fascinating life can be.
