Artificial intelligence, machine learning, and deep learning in orthopedic surgery
Open accessAbstract
Joint Diseases and Related Surgery (JDRS), the official journal of the Turkish Joint Diseases Foundation, is an international, peer-reviewed, immediate open access journal. All published articles in JDRS has been free for everyone, without embargo, since 1990.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In orthopedics, deep learning has improved musculoskeletal diagnosis and surgical procedures, while natural language processing has simplified communication between physicians and patients.
“In orthopedics, deep learning has improved musculoskeletal diagnosis and surgical procedures, while natural language processing has simplified communication between physicians and patients.1314)”
From Application of ChatGPT for Orthopedic Surgeries and Patient Care (2024) · cites this paper as [13]
Biased or inaccurate responses from ChatGPT may arise due to biases and limitations in the training data.
“Biased or inaccurate responses may arise due to biases and limitations in the training data.13)”
From Application of ChatGPT for Orthopedic Surgeries and Patient Care (2024) · cites this paper as [13]
For minimally invasive orthopedic procedures, ChatGPT can assist in instrument navigation and placement, optimizing the use of smaller incisions and reducing tissue damage.
“For minimally invasive orthopedic procedures, ChatGPT can assist in instrument navigation and placement, optimizing the use of smaller incisions and reducing tissue damage.”
From Application of ChatGPT for Orthopedic Surgeries and Patient Care (2024) · cites this paper as [13]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Burger, J. A., Kleeblad, L. J., Laas, N., et al. (2019) · The Bone & Joint Journal · doi:10.1302/0301-620x.102b1.bjj-2019-0510.r1 · Cited by 103 · see citing works
Beyaz, S. (2020) · Joint Diseases and Related Surgery · doi:10.5606/ehc.2020.75300 · Cited by 52 · see citing works
Silsupadol, P., Prupetkaew, P., Kamnardsiri, T., & Lugade, V. A. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2930091 · Cited by 38 · see citing works
Çankaya, D. (2021) · Joint Diseases and Related Surgery · doi:10.5606/ehc.2021.79635 · Cited by 28 · see citing works
Maraş, Y., Tokdemir, G., Üreten, K., Atalar, E., Duran, S., & Maraş, H. (2022) · Joint Diseases and Related Surgery · doi:10.52312/jdrs.2022.445 · Cited by 15 · see citing works
Does the use of robotic technology in hip arthroplasty provide superior clinical outcomes?
Atik, O. Ş. (2022) · Joint Diseases and Related Surgery · doi:10.52312/jdrs.2022.57904 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Application of ChatGPT for Orthopedic Surgeries and Patient Care
Morya, V. K., Lee, H.-W., Shahid, H., Magar, A. G., Lee, J.-H., Kim, J.-H., Jun, L., & Noh, K.-C. (2024) · Clinics in Orthopedic Surgery · doi:10.4055/cios23181 · Cited by 44 · see citing works
- Authors
- Atik, O. Ş.
- Corresponding author
- Atik, O. Şahap
- ORCID
- Atik, O. Şahap
- Venue
- Joint Diseases and Related Surgery
- Publisher
- Joint Diseases and Related Surgery
- Published
- 2022-08-01
- Volume
- 33
- Issue
- 2
- Pages
- 484-485
- ISSN
- 1309-0313 (ISSN-L)
- 2687-4784
- 2687-4792
- PMC
- PMC9361104
- OpenAlex
- W4286366049
- Cited by
- 20
- References
- 6
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 7 · 2023: 5
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Joint Diseases and Related Surgery (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, machine learning, deep learning, orthopedic surgery, joint diseases
- MeSH terms
- Machine Learning, Deep Learning, Artificial Intelligence, Orthopedics, Orthopedic Procedures
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
