FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293217204> ?p ?o ?g. }

• W4293217204 endingPage "206" @default.
• W4293217204 startingPage "201" @default.
• W4293217204 abstract "Artificial Intelligence (AI) has improved the way of looking at technological challenges. Today, we can afford to see many of the problems as just an input-output system rather than solving from the first principles. The field of Orthopaedics is not spared from this rapidly expanding technology. The recent surge in the use of AI can be attributed mainly to advancements in deep learning methodologies and computing resources. This review was conducted to draw an outline on the role of AI in orthopaedics.We developed a search strategy and looked for articles on PubMed, Scopus, and EMBASE. A total of 40 articles were selected for this study, from tools for medical aid like imaging solutions, implant management, and robotic surgery to understanding scientific questions.A total of 40 studies have been included in this review. The role of AI in the various subspecialties such as arthroplasty, trauma, orthopaedic oncology, foot and ankle etc. have been discussed in detail.AI has touched most of the aspects of Orthopaedics. The increase in technological literacy, data management plans, and hardware systems, amalgamated with the access to hand-held devices like mobiles, and electronic pads, augur well for the exciting times ahead in this field. We have discussed various technological breakthroughs in AI that have been able to perform in Orthopaedics, and also the limitations and the problem with the black-box approach of modern AI algorithms. We advocate for better interpretable algorithms which can help both the patients and surgeons alike." @default.
• W4293217204 created "2022-08-27" @default.
• W4293217204 creator A5005615845 @default.
• W4293217204 creator A5006871289 @default.
• W4293217204 creator A5020308795 @default.
• W4293217204 creator A5022984950 @default.
• W4293217204 creator A5052864488 @default.
• W4293217204 creator A5057044777 @default.
• W4293217204 date "2022-11-01" @default.
• W4293217204 modified "2023-10-16" @default.
• W4293217204 title "Current understanding on artificial intelligence and machine learning in orthopaedics – A scoping review" @default.
• W4293217204 cites W1974384763 @default.
• W4293217204 cites W2067435956 @default.
• W4293217204 cites W2069118837 @default.
• W4293217204 cites W2087850963 @default.
• W4293217204 cites W2103961143 @default.
• W4293217204 cites W2122344208 @default.
• W4293217204 cites W2157342597 @default.
• W4293217204 cites W2168941711 @default.
• W4293217204 cites W2347079542 @default.
• W4293217204 cites W2560746755 @default.
• W4293217204 cites W2567121296 @default.
• W4293217204 cites W2576404523 @default.
• W4293217204 cites W2586839650 @default.
• W4293217204 cites W2601810159 @default.
• W4293217204 cites W2604388535 @default.
• W4293217204 cites W2621007086 @default.
• W4293217204 cites W2636447305 @default.
• W4293217204 cites W2739632768 @default.
• W4293217204 cites W2768491633 @default.
• W4293217204 cites W2892943043 @default.
• W4293217204 cites W2895858475 @default.
• W4293217204 cites W2898216258 @default.
• W4293217204 cites W2901129184 @default.
• W4293217204 cites W2901249096 @default.
• W4293217204 cites W2902874468 @default.
• W4293217204 cites W2904063581 @default.
• W4293217204 cites W2912463899 @default.
• W4293217204 cites W2915617472 @default.
• W4293217204 cites W2920972911 @default.
• W4293217204 cites W2944480979 @default.
• W4293217204 cites W2948196832 @default.
• W4293217204 cites W2952738914 @default.
• W4293217204 cites W2956226132 @default.
• W4293217204 cites W2999793929 @default.
• W4293217204 cites W3004067910 @default.
• W4293217204 cites W3011783795 @default.
• W4293217204 cites W3029050330 @default.
• W4293217204 cites W3037896202 @default.
• W4293217204 cites W3048533302 @default.
• W4293217204 cites W3088660523 @default.
• W4293217204 cites W3117124430 @default.
• W4293217204 cites W3134978958 @default.
• W4293217204 cites W3140187804 @default.
• W4293217204 cites W3165143212 @default.
• W4293217204 cites W3188545278 @default.
• W4293217204 cites W3191798669 @default.
• W4293217204 cites W3213639207 @default.
• W4293217204 cites W4225538499 @default.
• W4293217204 cites W4225771009 @default.
• W4293217204 cites W4281555182 @default.
• W4293217204 doi "https://doi.org/10.1016/j.jor.2022.08.020" @default.
• W4293217204 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36104993" @default.
• W4293217204 hasPublicationYear "2022" @default.
• W4293217204 type Work @default.
• W4293217204 citedByCount "7" @default.
• W4293217204 countsByYear W42932172042023 @default.
• W4293217204 crossrefType "journal-article" @default.
• W4293217204 hasAuthorship W4293217204A5005615845 @default.
• W4293217204 hasAuthorship W4293217204A5006871289 @default.
• W4293217204 hasAuthorship W4293217204A5020308795 @default.
• W4293217204 hasAuthorship W4293217204A5022984950 @default.
• W4293217204 hasAuthorship W4293217204A5052864488 @default.
• W4293217204 hasAuthorship W4293217204A5057044777 @default.
• W4293217204 hasConcept C141071460 @default.
• W4293217204 hasConcept C154945302 @default.
• W4293217204 hasConcept C17744445 @default.
• W4293217204 hasConcept C19527891 @default.
• W4293217204 hasConcept C199539241 @default.
• W4293217204 hasConcept C202444582 @default.
• W4293217204 hasConcept C2779473830 @default.
• W4293217204 hasConcept C33923547 @default.
• W4293217204 hasConcept C41008148 @default.
• W4293217204 hasConcept C68312169 @default.
• W4293217204 hasConcept C71924100 @default.
• W4293217204 hasConcept C83867959 @default.
• W4293217204 hasConcept C9652623 @default.
• W4293217204 hasConceptScore W4293217204C141071460 @default.
• W4293217204 hasConceptScore W4293217204C154945302 @default.
• W4293217204 hasConceptScore W4293217204C17744445 @default.
• W4293217204 hasConceptScore W4293217204C19527891 @default.
• W4293217204 hasConceptScore W4293217204C199539241 @default.
• W4293217204 hasConceptScore W4293217204C202444582 @default.
• W4293217204 hasConceptScore W4293217204C2779473830 @default.
• W4293217204 hasConceptScore W4293217204C33923547 @default.
• W4293217204 hasConceptScore W4293217204C41008148 @default.
• W4293217204 hasConceptScore W4293217204C68312169 @default.
• W4293217204 hasConceptScore W4293217204C71924100 @default.

• next