Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner’s hype cycle

EFORT Open Reviews

article

Jacobien H.F. Oosterhoff¹  Job N. Doornberg²  Machine Learning Consortium³ 

[1] 1Department of Orthopaedic Surgery, University of Amsterdam, the Netherlands.；Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School;Department of Orthopaedic & Trauma Surgery, Flinders Medical Centre, Flinders University;or full details see Appendix 1.

关键词: artificial intelligence;    computer vision;    datadriven medicine;    machine learning;    orthopaedic surgery;    orthopaedic trauma;    personalized medicine;    prediction tools;   

DOI  :  10.1302/2058-5241.5.190092

学科分类：神经科学

来源: The British Editorial Society of Bone & Joint Surgery

【 摘 要 】

Artificial intelligence (AI) is believed to have the capacity to change the scope of medicine, much as the introduction of smartphones changed our day-to-day lives. AI and machine learning (ML) are terms commonly used to cover a range of computer applications such as ML-derived clinical decision support, deep learning (DL)-based computer vision and natural language processing (NLP). In essence, computers use human-created algorithms for analysing patterns in data and improve their performance by learning from their own mistakes. The increase in (cheap) powerful computers and availability of larger and more robust data have fuelled the use of ML in healthcare.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND