Special Issue "Clinical Applications of Artificial Intelligence and Simmulation in Orthopaedic and Trauma Surgery"
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".
Deadline for manuscript submissions: closed (20 June 2023) | Viewed by 226
Special Issue Editor
Interests: cartilage repair; osteoarthritis; ligamentous healing
Special Issue Information
Dear Colleagues,
The development of artificial intelligence, a term coined by Prof. John McCarthy in the mid-1950s, has experienced dramatic momentum in recent years. Orthopedic and trauma surgery is traditionally a very technical branch of medicine, and the influence of increasing digitization will have a major impact on the practice of this field.
One of the great potentials of artificial intelligence lies in the evaluation of large amounts of data and the identification of critical parameters that allow the clinical outcome of patients to be estimated. Data models can, for example, estimate the risk of re-ruptures after cruciate ligament surgery. In addition, artificial intelligence has developed particularly rapidly in the interpretation of image data. AI can help to increase diagnostic accuracy and to avoid errors. By modeling or simulation based on image data, patient-specific surgical procedures and implants can also be developed. Artificial intelligence can support the decision between an operative and a conservative therapy and can also assist during the operative procedure itself.
As part of this Special Issue, clinical applications are to be presented that can already support clinically active orthopedists and trauma surgeons.
Prof. Dr. Kaywan Izadpanah
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- artificial intelligence
- machine learning
- simulation
- orthopedic surgery
- modelling
- simulation
- patient-specific
