Speakers
Tom Harte
Podium Lecture
Moderators Tom Harte, Peter Devane
Podium Presentations: Each lasting 4 minutes with 1 min questions
12:20 – 12:26: Jasmine Louie - Constructing a Machine Learning Model to Predict Cuff Retear Rate – A Feasibility Study
12:26 – 12:32: Bhavna Gami / Abhinav Shankar - Deep Learning Based Automated Identification of Wrist and Finger Arthroplasty Implants from Radiographs
12:32 – 12:38: Esther Idowu - Artificial Intelligence in the Identification of Medical Implants: A Systematic Review of the Current Literature
12:38 – 12:44: Simon Palmer - Diagnostic Performance of a Deep Learning Model for Fracture Detection on Radiographs with Gradient-Weighted Class Activation Mapping (Grad-CAM): A Statistical and Regional Validation Study
12:44 – 12:50: Bilal Rayes - Machine Learning Derived Knee Width Discrepancy and Its Association with Knee Injury: A Cross-Sectional Study of 62,155 UK Biobank Participants
12:50 – 12:56: Hamzah Amin - Investigating the Use of AI to Identify Osteoporotic Vertebral Fractures on Routinely Collected Lumbar Spine DEXA Scans
12:56 – 1:02: Katie Anderson - Artificial Intelligence in Orthopaedic Upper Limb Radiology – Is It of Value?
1:02 – 1:08: Euan O Mathuna - A Retrospective Cohort Study Assessing the Ability of Artificial Intelligence to Assess Orthopaedic Hip Fracture Referrals and Imaging
A graduate of Otago University who then completed specialist training in Orthopaedics in New Zealand and postgraduate training as an Arthroplasty Fellow in London, Ontario, Canada. He is a Senior Lecturer in Orthopaedic Surgery at the Wellington School of Medicine and is a Consultant Surgeon at Wellington and Wakefield Hospitals.
Peter’s special interest is in primary and revision surgery for Total Hip and Knee Joint Replacement Trauma Reconstruction. Mr Devane is nationally and internationally recognised for his research involving modes of failure of Total Hip Replacement and Polyethylene Wear.