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 : A data driven approach to prehabilitation and rehabilitation for hip and knee replacement patients
Diana Hodgins, Dynamic Metrics Ltd, United Kingdom
Title : Selective denervation for persistent knee pain after total knee arthroplasty: Long-term outcomes
Shaomin Shi, Medical College of Wisconsin, United States
Title : Stem cell treatment is effective and safe for arthritis of the knee and shoulder and for back and neck pain
Chadwick C Prodromos, Rush University, United States
Title : The effect of OTC N-acetyl-cysteine on cobaltemia and cobalturia from cobalt-chromium orthopedic implants
Stephen S Tower, University of Alaska Anchorage, United States
Title : The etiological diagnosis of torticollis
Ali Al Kaissi, Ilizarov Institute, Austria
Title : Sports medicine pearls of the foot and ankle
Matthew B Werd, American Academy of Podiatric Sports Medicine (AAPSM), United States