Artificial Intelligence in the Management of Rotator Cuff Tears.

Szczegóły
Abstrakt

Tytuł:: Artificial Intelligence in the Management of Rotator Cuff Tears.
Autorzy:: Familiari F; Department of Orthopaedic and Trauma Surgery, 'Mater Domini' University Hospital, 'Magna Græcia' University, 88100 Catanzaro, Italy.
Galasso O; Department of Orthopaedic and Trauma Surgery, 'Mater Domini' University Hospital, 'Magna Græcia' University, 88100 Catanzaro, Italy.
Massazza F; Department of Orthopaedic and Trauma Surgery, 'Mater Domini' University Hospital, 'Magna Græcia' University, 88100 Catanzaro, Italy.
Mercurio M; Department of Orthopaedic and Trauma Surgery, 'Mater Domini' University Hospital, 'Magna Græcia' University, 88100 Catanzaro, Italy.
Fox H; Department of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Srikumaran U; Department of Orthopaedic Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Gasparini G; Department of Orthopaedic and Trauma Surgery, 'Mater Domini' University Hospital, 'Magna Græcia' University, 88100 Catanzaro, Italy.
Źródło:: International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Dec 14; Vol. 19 (24). Date of Electronic Publication: 2022 Dec 14.
Typ publikacji:: Journal Article; Review
Język:: English
Imprint Name(s):: Original Publication: Basel : MDPI, c2004-
MeSH Terms:: Rotator Cuff Injuries*/diagnostic imaging
Rotator Cuff Injuries*/surgery
Orthopedics*
Orthopedic Procedures*
Humans ; Artificial Intelligence ; Joints
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Contributed Indexing:: Keywords: artificial intelligence; orthopedics; pathology; rotator cuff; shoulder; tear
Entry Date(s):: Date Created: 20221223 Date Completed: 20221226 Latest Revision: 20230120
Update Code:: 20240104
PubMed Central ID:: PMC9779744
DOI:: 10.3390/ijerph192416779
PMID:: 36554660
: Czasopismo naukowe

Technological innovation is a key component of orthopedic surgery. Artificial intelligence (AI), which describes the ability of computers to process massive data and "learn" from it to produce outputs that mirror human cognition and problem solving, may become an important tool for orthopedic surgeons in the future. AI may be able to improve decision making, both clinically and surgically, via integrating additional data-driven problem solving into practice. The aim of this article will be to review the current applications of AI in the management of rotator cuff tears. The article will discuss various stages of the clinical course: predictive models and prognosis, diagnosis, intraoperative applications, and postoperative care and rehabilitation. Throughout the article, which is a review in terms of study design, we will introduce the concept of AI in rotator cuff tears and provide examples of how these tools can impact clinical practice and patient care. Though many advancements in AI have been made regarding evaluating rotator cuff tears-particularly in the realm of diagnostic imaging-further advancements are required before they become a regular facet of daily clinical practice.

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