Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next
Background: Artificial intelligence (AI) is a continuously expanding field with the potential to transform a variety of industries—including health care—by providing automation, efficiency, precision, accuracy, and decision-making support for simple and complex tasks. Basic knowledge of the key feat...
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| Format: | Artikel |
| Sprache: | English |
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Elsevier
2023-11-01
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| Schriftenreihe: | JSES Reviews, Reports, and Techniques |
| Schlagworte: | |
| Online Zugang: | http://www.sciencedirect.com/science/article/pii/S2666639123000809 |
| _version_ | 1827780140589907968 |
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| author | Rodrigo de Marinis, MD Erick M. Marigi, MD Yousif Atwan, MD, MSc Linjun Yang, PhD Jacob F. Oeding, MS Puneet Gupta, BS Ayoosh Pareek, MD Joaquin Sanchez-Sotelo, MD, PhD John W. Sperling, MD, MBA |
| author_facet | Rodrigo de Marinis, MD Erick M. Marigi, MD Yousif Atwan, MD, MSc Linjun Yang, PhD Jacob F. Oeding, MS Puneet Gupta, BS Ayoosh Pareek, MD Joaquin Sanchez-Sotelo, MD, PhD John W. Sperling, MD, MBA |
| author_sort | Rodrigo de Marinis, MD |
| collection | DOAJ |
| description | Background: Artificial intelligence (AI) is a continuously expanding field with the potential to transform a variety of industries—including health care—by providing automation, efficiency, precision, accuracy, and decision-making support for simple and complex tasks. Basic knowledge of the key features as well as limitations of AI is paramount to understand current developments in this field and to successfully apply them to shoulder surgery. The purpose of the present review is to provide an overview of AI within orthopedics and shoulder surgery exploring current and forthcoming AI applications. Methods: PubMed and Scopus databases were searched to provide a narrative review of the most relevant literature on AI applications in shoulder surgery. Results: Despite the enormous clinical and research potential of AI, orthopedic surgery has been a relatively late adopter of AI technologies. Image evaluation, surgical planning, aiding decision-making, and facilitating patient evaluations over time are some of the current areas of development with enormous opportunities to improve surgical practice, research, and education. Furthermore, the advancement of AI-driven strategies has the potential to create a more efficient medical system that may reduce the overall cost of delivering and implementing quality health care for patients with shoulder pathology. Conclusion: AI is an expanding field with the potential for broad clinical and research applications in orthopedic surgery. Many challenges still need to be addressed to fully leverage the potential of AI to clinical practice and research such as privacy issues, data ownership, and external validation of the proposed models. |
| first_indexed | 2024-03-11T15:01:29Z |
| format | Article |
| id | doaj.art-1a78c6894f5a4e2db8d0d3fa32f2649b |
| institution | Directory Open Access Journal |
| issn | 2666-6391 |
| language | English |
| last_indexed | 2024-03-11T15:01:29Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | JSES Reviews, Reports, and Techniques |
| spelling | doaj.art-1a78c6894f5a4e2db8d0d3fa32f2649b2023-10-30T06:08:43ZengElsevierJSES Reviews, Reports, and Techniques2666-63912023-11-0134447453Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming nextRodrigo de Marinis, MD0Erick M. Marigi, MD1Yousif Atwan, MD, MSc2Linjun Yang, PhD3Jacob F. Oeding, MS4Puneet Gupta, BS5Ayoosh Pareek, MD6Joaquin Sanchez-Sotelo, MD, PhD7John W. Sperling, MD, MBA8Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Department of Orthopedic Surgery, Pontificia Universidad Católica de Chile, Santiago, Chile; Shoulder and Elbow Unit, Hospital Dr. Sótero del Rio, Santiago, ChileDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USADepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USAOrthopedic Surgery Artificial Intelligence Lab (OSAIL), Mayo Clinic, Rochester, MN, USADepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USADepartment of Orthopaedic Surgery, George Washington University School of Medicine and Health Sciences, Washington, DC, USADepartment of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY, USADepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USADepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Corresponding author: John W. Sperling, MD, MBA, Department of Orthopedic Surgery, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.Background: Artificial intelligence (AI) is a continuously expanding field with the potential to transform a variety of industries—including health care—by providing automation, efficiency, precision, accuracy, and decision-making support for simple and complex tasks. Basic knowledge of the key features as well as limitations of AI is paramount to understand current developments in this field and to successfully apply them to shoulder surgery. The purpose of the present review is to provide an overview of AI within orthopedics and shoulder surgery exploring current and forthcoming AI applications. Methods: PubMed and Scopus databases were searched to provide a narrative review of the most relevant literature on AI applications in shoulder surgery. Results: Despite the enormous clinical and research potential of AI, orthopedic surgery has been a relatively late adopter of AI technologies. Image evaluation, surgical planning, aiding decision-making, and facilitating patient evaluations over time are some of the current areas of development with enormous opportunities to improve surgical practice, research, and education. Furthermore, the advancement of AI-driven strategies has the potential to create a more efficient medical system that may reduce the overall cost of delivering and implementing quality health care for patients with shoulder pathology. Conclusion: AI is an expanding field with the potential for broad clinical and research applications in orthopedic surgery. Many challenges still need to be addressed to fully leverage the potential of AI to clinical practice and research such as privacy issues, data ownership, and external validation of the proposed models.http://www.sciencedirect.com/science/article/pii/S2666639123000809Artificial intelligenceMachine learningDeep learningShoulder surgeryDecision-makingComputer vision |
| spellingShingle | Rodrigo de Marinis, MD Erick M. Marigi, MD Yousif Atwan, MD, MSc Linjun Yang, PhD Jacob F. Oeding, MS Puneet Gupta, BS Ayoosh Pareek, MD Joaquin Sanchez-Sotelo, MD, PhD John W. Sperling, MD, MBA Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next JSES Reviews, Reports, and Techniques Artificial intelligence Machine learning Deep learning Shoulder surgery Decision-making Computer vision |
| title | Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next |
| title_full | Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next |
| title_fullStr | Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next |
| title_full_unstemmed | Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next |
| title_short | Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next |
| title_sort | current clinical applications of artificial intelligence in shoulder surgery what the busy shoulder surgeon needs to know and what s coming next |
| topic | Artificial intelligence Machine learning Deep learning Shoulder surgery Decision-making Computer vision |
| url | http://www.sciencedirect.com/science/article/pii/S2666639123000809 |
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