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A practical guide t...
A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges
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- Zsidai, Balint, 1993 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för ortopedi,Institute of Clinical Sciences, Department of Orthopaedics
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- Hilkert, Ann Sophie, 1992 (författare)
- Medfield Diagnostics,Chalmers tekniska högskola,Chalmers University of Technology
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- Kaarre, Janina, 1996 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för ortopedi,Institute of Clinical Sciences, Department of Orthopaedics
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- Narup, Eric, 1996 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för ortopedi,Institute of Clinical Sciences, Department of Orthopaedics
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- Hamrin Senorski, Eric, 1989 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för hälsa och rehabilitering,Institute of Neuroscience and Physiology, Department of Health and Rehabilitation
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- Grassi, Alberto (författare)
- Göteborgs universitet,University of Gothenburg
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- Ley, Christophe (författare)
- Université du Luxembourg,University of Luxembourg
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- Longo, Umile Giuseppe (författare)
- Università Campus Bio-Medico di Roma
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Herbst, Elmar (författare)
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Hirschmann, Michael T. (författare)
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Kopf, Sebastian (författare)
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Seil, Romain (författare)
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Tischer, Thomas (författare)
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- Samuelsson, Kristian, 1977 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för ortopedi,Institute of Clinical Sciences, Department of Orthopaedics
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- Feldt, Robert, 1972 (författare)
- Göteborgs universitet,University of Gothenburg
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: Journal of Experimental Orthopaedics. - 2197-1153. ; 10:1
- Relaterad länk:
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https://research.cha... (primary) (free)
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https://research.cha...
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https://doi.org/10.1...
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https://gup.ub.gu.se...
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Abstract
Ämnesord
Stäng
- Artificial intelligence (AI) has the potential to transform medical research by improving disease diagnosis, clinical decision-making, and outcome prediction. Despite the rapid adoption of AI and machine learning (ML) in other domains and industry, deployment in medical research and clinical practice poses several challenges due to the inherent characteristics and barriers of the healthcare sector. Therefore, researchers aiming to perform AI-intensive studies require a fundamental understanding of the key concepts, biases, and clinical safety concerns associated with the use of AI. Through the analysis of large, multimodal datasets, AI has the potential to revolutionize orthopaedic research, with new insights regarding the optimal diagnosis and management of patients affected musculoskeletal injury and disease. The article is the first in a series introducing fundamental concepts and best practices to guide healthcare professionals and researcher interested in performing AI-intensive orthopaedic research studies. The vast potential of AI in orthopaedics is illustrated through examples involving disease- or injury-specific outcome prediction, medical image analysis, clinical decision support systems and digital twin technology. Furthermore, it is essential to address the role of human involvement in training unbiased, generalizable AI models, their explainability in high-risk clinical settings and the implementation of expert oversight and clinical safety measures for failure. In conclusion, the opportunities and challenges of AI in medicine are presented to ensure the safe and ethical deployment of AI models for orthopaedic research and clinical application. Level of evidence IV
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kirurgi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Surgery (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Ortopedi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Orthopaedics (hsv//eng)
Nyckelord
- Digital twins
- Artificial intelligence
- AI
- Generalizability
- Large language models
- Decision support systems
- ML
- Orthopaedics
- Research methods
- Machine learning
- Provenance
- Ethics
- Learning series
- Explainability
- AI
- Artificial intelligence
- Decision support systems
- Digital twins
- Ethics
- Explainability
- Generalizability
- Large language models
- Learning series
- ML
- Machine learning
- Orthopaedics
- Provenance; Research methods
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Till lärosätets databas
- Av författaren/redakt...
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Zsidai, Balint, ...
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Hilkert, Ann Sop ...
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Kaarre, Janina, ...
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Narup, Eric, 199 ...
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Hamrin Senorski, ...
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Grassi, Alberto
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visa fler...
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Ley, Christophe
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Longo, Umile Giu ...
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Herbst, Elmar
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Hirschmann, Mich ...
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Kopf, Sebastian
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Seil, Romain
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Tischer, Thomas
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Samuelsson, Kris ...
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Feldt, Robert, 1 ...
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Kirurgi
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Ortopedi
- Artiklar i publikationen
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Journal of Exper ...
- Av lärosätet
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Chalmers tekniska högskola
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Göteborgs universitet