Session 1: Machine Learning - AI and how it worked for me (or did not work!)

9.05am – 9.55am GMT, 20 December 2024 ‐ 50 mins

Podium Lecture

Chairs: Richie Gill & Peter Harris

5 Podium Presentations (8 minutes each)

1. Peter Harris Beyond the Metrics: Ensuring Meaningful Machine Learning Results
2.  Julius Lenaerts Machine Learning-Based Detection of Aseptic Loosening in Hip Implants Using Radiographs and Scikit-Learn Models

3. Nadia Aghili Evaluating the Impact of AI in Orthopaedics: A Systematic Scoping Review of Current Evidence and Research Gaps in the Knee Joint

4. Louie Yee Lam Jasmine  Application of Artificial Intelligence in Quantifying the Degree of Fatty Infiltration of Rotator Cuff Muscle - A Feasibility Stud
5. Nimra Akram Automated Evaluation of Post-Operative Knee X-rays Using a Deep Learning Computer Vision Model

Speakers

Peter Harris

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Richie Gill

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Peter Harris

Peter Harris is the Director of Research Science at NielsenIQ, where he leads a global team of Artificial Intelligence researchers. NielsenIQ is a multinational company dedicated to understanding consumer behaviour worldwide. In addition to his role at NielsenIQ, Peter serves as an AI consultant for the NHS, leveraging advanced AI techniques to predict medical conditions from x-rays before they are visible to the human eye. His expertise spans several cutting-edge domains, including Natural Language Processing, Image Classification, Graph Neural Networks, and Generative AI (in collaboration with Microsoft).