Podium Lecture
Moderators: Jordan Tsigarides and Mustafa Alnaib
Format: 5 free papers, 4 minutes each +1 min Q&A
9:48 – 9:53: Bekim Arifja - Large Language Models – their use in clinical practice to aid workflow of diagnosis and management of Neck of Femur fractures
9:53 – 9:58: Patrick Cook - Enhancing Reflective Practice in Surgical Education Through an AI-Powered Chatbot
9:58 – 10:03: Aadam Ahmad - Orthopaedic Clinician Perceptions of AI-Generated Versus Surgeon-Authored Responses to Pre-Operative Rotator Cuff Repair Questions
10:03 – 10:08: Marc Huttman - Protocol for: AI-Simplified versus Standard Secondary Care Letters: A Systematic Review of Readability and Patient Comprehension
10:08 – 10:13: Geeth Silva - Predicting Return to Sport After Trochleoplasty for Patellar Instability Using Machine Learning: A Feasibility Study
10:13 – 10:18: Claudia Lindner - Alignment-Specific Prediction of TKA Outcomes Using Shape-Derived B-Scores from Pre-operative Radiographs
Dr Jordan Tsigarides is a Senior Clinical Fellow in Rheumatology (Cambridge University Hospitals) and Doctoral Research Fellow (University of East Anglia) currently researching closed-loop virtual reality (VR) systems utilising sensor-based technologies and artificial intelligence (AI). Jordan is also an organiser for the Turing’s Clinical AI Interest Group, British Society of Rheumatology’s AI SIG and the MRC’s Neurotechnology in Chronic Pain Network where he provides expertise related to AI in Rheumatology and immersive therapeutics in chronic pain. Jordan’s research aims to investigate how state-of-the-art technologies and cutting-edge techniques can support patients with musculoskeletal disease.
Dr Mustafa Alnaib is an orthopaedic surgeon, MSK doctor, digital health consultant, and software developer with a strong focus on applying AI in clinical practice. He has been involved since the first AI in Orthopaedics conference, contributing to both presentations and practical workshops. A founding member of the Orthopaedic Research & AI Association (ORAIA), he co-organised “AI in Orthopaedics” workshop in and contributed to EFORT and SICOT sessions on AI applications in orthopaedics. He develops AI-powered tools such as clinic-letter assistants, triage and research solutions apps, in addition to developing medical databases. He is an advocate for advancing work on FHIR-based data integration, governance frameworks, and clinician-led innovation in healthcare technology.
Clinically, Dr Alnaib works as a general trauma surgeon and musculoskeletal doctor in the NHS across London and Kent and is the founder of ACTIVATE Musculoskeletal private clinic, where he provides ultrasound-guided injection therapies and patient-focused MSK care.
Dr Bekim Arifaj is a resident doctor with a strong academic foundation, a passion for innovation, and an emerging focus on the integration of artificial intelligence (AI) into orthopaedic practice and research. A graduate of King’s College London (KCL), he achieved multiple academic excellence awards during his medical training, reflecting his commitment to clinical excellence, research, and leadership in medical education. He currently works at Princess Alexandra Hospital, in Harlow.
Since graduating, Dr Bekim has developed a broad and dynamic portfolio that bridges clinical practice, research, teaching, and technological innovation. He has presented at numerous national and international conferences, including the ARP Sports Medicine Conference in Las Vegas, focussing on asymptomatic bradycardia in athletes. His research contributions have been published in peer-reviewed journals, and he remains actively involved in ongoing studies exploring clinical outcomes and innovations within musculoskeletal medicine and orthopaedic surgery.
Beyond his clinical and academic achievements, Bekim is deeply committed to medical education. He has organised and led multiple surgical teaching programmes for both medical students and resident doctors, at local and regional levels. These initiatives have supported junior clinicians in developing essential surgical skills and clinical reasoning, often incorporating simulation and practical workshops to enhance experiential learning. He has also designed and delivered outreach programmes for schools with historically low medicine application rates, aiming to improve access to the medical profession and inspire the next generation of healthcare professionals.
In parallel with his academic and educational commitments, Bekim serves as a ringside doctor for Bare Knuckle Boxing (BKB) events in the UK. This role demands advanced clinical judgment, rapid decision-making, and a deep understanding of sports-related injuries.
Bekim’s current professional focus lies in exploring the transformative potential of AI in orthopaedics. He is particularly interested in how AI-driven technologies can enhance surgical precision, improve diagnostic accuracy, and optimise patient outcomes. He is passionate about collaborating with colleagues, researchers, and industry partners to drive innovation and responsibly integrate AI into routine clinical workflows. This includes a commitment to ethical implementation, clinician engagement, and bridging the gap between technological development and real-world application in orthopaedic care.
Combining his background in orthopaedics/sports medicine, educational leadership, and research, Bekim brings a multidisciplinary perspective to the conversation on digital transformation in healthcare.
Outside of clinical work, Bekim maintains an active interest in medical innovation, and professional development, with a long-term goal of contributing to the evolution of orthopaedic training and surgical care through technology, education, and research.
