Artificial intelligence in orthopaedics: A scoping review

Autor: Gareth G. Jones, Simon J Federer
Jazyk: angličtina
Rok vydání: 2021
Předmět:
medicine.medical_specialty
Computer and Information Sciences
Future studies
Direct assessment
Science
Knees
Clinical Decision-Making
MEDLINE
Orthopedic Surgery
Surgical and Invasive Medical Procedures
Research and Analysis Methods
Pelvis
Machine Learning
Machine Learning Algorithms
Musculoskeletal System Procedures
Skeletal Joints
Artificial Intelligence
medicine
Medicine and Health Sciences
Image Processing
Computer-Assisted
Humans
Orthopedic Procedures
Clinical decision
Musculoskeletal System
Skeleton
Decision Making
Computer-Assisted
Multidisciplinary
Hip
business.industry
Radiology and Imaging
Applied Mathematics
Simulation and Modeling
Biology and Life Sciences
Spine
Orthopedics
Body Limbs
Orthopedic surgery
Physical Sciences
Medicine
Legs
Artificial intelligence
Anatomy
business
Evidence synthesis
Mathematics
Algorithms
Research Article
Zdroj: PLoS ONE
PLoS ONE, Vol 16, Iss 11, p e0260471 (2021)
ISSN: 1932-6203
Popis: There is a growing interest in the application of artificial intelligence (AI) to orthopaedic surgery. This review aims to identify and characterise research in this field, in order to understand the extent, range and nature of this work, and act as springboard to stimulate future studies. A scoping review, a form of structured evidence synthesis, was conducted to summarise the use of AI in orthopaedics. A literature search (1946–2019) identified 222 studies eligible for inclusion. These studies were predominantly small and retrospective. There has been significant growth in the number of papers published in the last three years, mainly from the USA (37%). The majority of research used AI for image interpretation (45%) or as a clinical decision tool (25%). Spine (43%), knee (23%) and hip (14%) were the regions of the body most commonly studied. The application of artificial intelligence to orthopaedics is growing. However, the scope of its use so far remains limited, both in terms of its possible clinical applications, and the sub-specialty areas of the body which have been studied. A standardized method of reporting AI studies would allow direct assessment and comparison. Prospective studies are required to validate AI tools for clinical use.
Databáze: OpenAIRE
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