Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next

de Marinis, Rodrigo; Marigi, Erick M.; Atwan, Yousif; Yang, Linjun; Oeding, Jacob F.; Gupta, Puneet; Pareek, Ayoosh; Sanchez-Sotelo, Joaquin; Sperling, John W.

doi:10.1016/j.xrrt.2023.07.008

JSES Reviews, Reports, and Techniques

2023

DOI: 10.1016/j.xrrt.2023.07.008

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Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next

Rodrigo de Marinis,

Erick M. Marigi,

Yousif Atwan

et al.

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2024

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Cited by 3 publications

References 79 publications

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Prognostic value of the Favard classification for patients before and after reverse shoulder arthroplasty performed for rotator cuff tear arthropathy

Hao,

Elwell,

Flurin

et al. 2024

Seminars in Arthroplasty: JSES

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Prognostic value of the Favard classification for patients before and after reverse shoulder arthroplasty performed for rotator cuff tear arthropathy

Hao,

Elwell,

Flurin

et al. 2024

Seminars in Arthroplasty: JSES

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An Examination of the Use of Artificial Intelligence in Orthopaedic Surgery

M.P,

H. B

et al. 2024

International Journal of Innovative Science and Research Techno

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Artificial intelligence (AI) is being used more and more in numerous fields, and the medical industry is no exception. AI is demonstrating potential as a helpful tool in all facets of patient care pathways, including research in healthcare. Due to the practically exponential expansion in computer processing power, cloud computing, and the invention and improvement of software algorithms specifically designed for medical tasks, artificial intelligence (AI) systems are becoming more and more significant in the fields of medicine and orthopaedic surgery. Machine-based integration of imaging studies is particularly ripe for the field of orthopaedic disorders because of the extensive role of technologies like medical imaging that bring high sensitivity, specificity, and positive/negative prognostic value to the management of orthopaedic disorders, among other applications. In orthopaedic surgery, practical applications include real-time rehabilitation monitoring and surgical training; predictive models of clinical and patient-reported outcome measures, such as calculating mortality rates and length of hospital stay; and diagnostics, such as fracture recognition and tumor detection. This study aims to outline current clinical uses of AI in orthopaedic surgery and to provide a thorough grasp of AI and its subfields.

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Exploring the Role of Artificial Intelligence in Improving Service Design for Children's Hospitals

Wang,

Majid,

Dai

2024

J INFORM SYSTEMS ENG

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The creation of Artificial Intelligence (AI) in healthcare has initiated exceptional modifications in service transport and affected person care. However, the specific effect and integration of AI within children's hospitals have no longer been drastically explored. Pediatric healthcare presents specific demanding situations and requires tailored AI applications to cope with its various needs. The goal of this study is to fill this gap by inspecting the role of AI in improving provider design in children's hospitals. It investigates how AI-pushed innovations can improve affected person consequences, streamline medical institution operations, and address the precise challenges of pediatric care. Utilizing a case examine technique, the study accrued qualitative insights from numerous stakeholders in deciding on main children's hospitals. The research concerned analyzing AI implementations across diagnostic approaches, remedy making plans, and patient engagement, in conjunction with evaluating the moral and practical implications. The findings reveal that AI drastically improves diagnostic accuracy and treatment efficacy, main to higher patient outcomes. Ethical issues, specifically regarding facts privations, emerged as crucial in AI adoption. The study underscores the want for comprehensive AI integration strategies which are sensitive to the precise requirements of pediatric sufferers. This research contributes to the literature by providing empirical information on AI's impact in a pediatric context, providing a unique AI-integrated service layout version. It gives authentic insights into the scalability and ethical integration of AI, underscoring the ability of AI to revolutionize pediatric healthcare transport.

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Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next

Cited by 3 publications

References 79 publications

Prognostic value of the Favard classification for patients before and after reverse shoulder arthroplasty performed for rotator cuff tear arthropathy

Prognostic value of the Favard classification for patients before and after reverse shoulder arthroplasty performed for rotator cuff tear arthropathy

An Examination of the Use of Artificial Intelligence in Orthopaedic Surgery

Exploring the Role of Artificial Intelligence in Improving Service Design for Children's Hospitals

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