The application of artificial intelligence (AI) to orthopaedic surgery is gaining popularity. In recent years, there has been a spike in interest in the use of artificial intelligence (AI) in healthcare. Computer systems are becoming increasingly capable of performing activities that would ordinarily need human intelligence, thanks to advances in data storage and processing. Despite the enthusiasm, AI integration into clinical practise is still in its early stages. Large datasets are excellent for the development of AI algorithms, because of the rise in digital medical imaging and information collected in databases and orthopaedic registries. These technologies have the potential to improve patient care on a variety of levels, including diagnosis, management, research, and systems analysis. For most orthopaedic surgeons, artificial intelligence is still a relatively young discipline, thus understanding the scope, breadth, and nature of previous work can help them identify new applications and research topics.
Title : The tomographic phenotype and the genotype of wormian bones
Ali Al Kaissi, National Ilizarov Medical Research Center for Traumatology and Orthopaedics, Russian Federation
Title : Why rehabilitation following Total Joint Arthroplasty (TJA) should include a gait kinematic assessment and gait retraining
Diana Hodgins, Dynamic Metrics Ltd, United Kingdom
Title : Is my non-operative practice ok? – An audit tool for surgical patients
Chris Wainwright, Mater Private Hospital Mackay, Australia
Title : Is pregnancy a major risk factor for musculoskeletal pain: A cross-sectional study
Youssef Masharawi, Tel Aviv University, Israel
Title : Acute traumatic spinal injuries - Outcomes based evidence of the holistic active physiological conservative management of the injury and its neurological effects
Wagih El Masri, Keele University, United Kingdom
Title : The shape evolution of the human thoracic cage from birth to adulthood: Characterization and acceleration
Youssef Masharawi, Tel Aviv University, Israel