139 related articles for article (PubMed ID: 35338955)
1. External validation of an artificial intelligence tool for radiographic knee osteoarthritis severity classification.
Brejnebøl MW; Hansen P; Nybing JU; Bachmann R; Ratjen U; Hansen IV; Lenskjold A; Axelsen M; Lundemann M; Boesen M
Eur J Radiol; 2022 May; 150():110249. PubMed ID: 35338955
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence assistance in radiographic detection and classification of knee osteoarthritis and its severity: a cross-sectional diagnostic study.
Pongsakonpruttikul N; Angthong C; Kittichai V; Chuwongin S; Puengpipattrakul P; Thongpat P; Boonsang S; Tongloy T
Eur Rev Med Pharmacol Sci; 2022 Mar; 26(5):1549-1558. PubMed ID: 35302199
[TBL] [Abstract][Full Text] [Related]
3. Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists.
Swiecicki A; Li N; O'Donnell J; Said N; Yang J; Mather RC; Jiranek WA; Mazurowski MA
Comput Biol Med; 2021 Jun; 133():104334. PubMed ID: 33823398
[TBL] [Abstract][Full Text] [Related]
4. Constructing a clinical radiographic knee osteoarthritis database using artificial intelligence tools with limited human labor: A proof of principle.
Lenskjold A; Brejnebøl MW; Nybing JU; Rose MH; Gudbergsen H; Troelsen A; Moller A; Raaschou H; Boesen M
Osteoarthritis Cartilage; 2024 Mar; 32(3):310-318. PubMed ID: 38043857
[TBL] [Abstract][Full Text] [Related]
5. Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population.
Olsson S; Akbarian E; Lind A; Razavian AS; Gordon M
BMC Musculoskelet Disord; 2021 Oct; 22(1):844. PubMed ID: 34600505
[TBL] [Abstract][Full Text] [Related]
6. Perceptual variation in grading hand, hip and knee radiographs: observations based on an Australian twin registry study of osteoarthritis.
Bellamy N; Tesar P; Walker D; Klestov A; Muirden K; Kuhnert P; Do KA; O'Gorman L; Martin N
Ann Rheum Dis; 1999 Dec; 58(12):766-9. PubMed ID: 10577964
[TBL] [Abstract][Full Text] [Related]
7. Artificial-Intelligence-Aided Radiographic Diagnostic of Knee Osteoarthritis Leads to a Higher Association of Clinical Findings with Diagnostic Ratings.
Neubauer M; Moser L; Neugebauer J; Raudner M; Wondrasch B; Führer M; Emprechtinger R; Dammerer D; Ljuhar R; Salzlechner C; Nehrer S
J Clin Med; 2023 Jan; 12(3):. PubMed ID: 36769394
[TBL] [Abstract][Full Text] [Related]
8. Successful real-world application of an osteoarthritis classification deep-learning model using 9210 knees-An orthopedic surgeon's view.
Wang CT; Huang B; Thogiti N; Zhu WX; Chang CH; Pao JL; Lai F
J Orthop Res; 2023 Apr; 41(4):737-746. PubMed ID: 35822355
[TBL] [Abstract][Full Text] [Related]
9. Validity and sensitivity to change of three scales for the radiographic assessment of knee osteoarthritis using images from the Multicenter Osteoarthritis Study (MOST).
Sheehy L; Culham E; McLean L; Niu J; Lynch J; Segal NA; Singh JA; Nevitt M; Cooke TD
Osteoarthritis Cartilage; 2015 Sep; 23(9):1491-8. PubMed ID: 26003948
[TBL] [Abstract][Full Text] [Related]
10. Is the EOS imaging system as accurate as conventional radiography in grading osteoarthritis of the knee?
Koliogiannis VKA; Brandlhuber M; Messerschmidt V; Stahl R; Melcher C; Schinner R; Birkenmaier C; Ricke J; Baur-Melnyk A
Eur Radiol; 2021 May; 31(5):3491-3497. PubMed ID: 33119811
[TBL] [Abstract][Full Text] [Related]
11. Automatic detection and classification of knee osteoarthritis using deep learning approach.
Abdullah SS; Rajasekaran MP
Radiol Med; 2022 Apr; 127(4):398-406. PubMed ID: 35262842
[TBL] [Abstract][Full Text] [Related]
12. Clinicians' heuristic assessments of radiographs compared with Kellgren-Lawrence and Ahlbäck ordinal grading: an exploratory study of knee radiographs using paired comparisons.
Pedersen MM; Geoffroy Mongelard KB; Mørup-Petersen A; Bang Christensen K; Odgaard A
BMJ Open; 2021 Mar; 11(3):e041793. PubMed ID: 34006025
[TBL] [Abstract][Full Text] [Related]
13. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence-based computer-aided system for knee osteoarthritis assessment increases experienced orthopaedic surgeons' agreement rate and accuracy.
Smolle MA; Goetz C; Maurer D; Vielgut I; Novak M; Zier G; Leithner A; Nehrer S; Paixao T; Ljuhar R; Sadoghi P
Knee Surg Sports Traumatol Arthrosc; 2023 Mar; 31(3):1053-1062. PubMed ID: 36357505
[TBL] [Abstract][Full Text] [Related]
15. Reliability of three radiographic classification systems for knee osteoarthritis among observers of different experience levels.
Wing N; Van Zyl N; Wing M; Corrigan R; Loch A; Wall C
Skeletal Radiol; 2021 Feb; 50(2):399-405. PubMed ID: 32780155
[TBL] [Abstract][Full Text] [Related]
16. Automatic assessment of knee osteoarthritis severity in portable devices based on deep learning.
Yang J; Ji Q; Ni M; Zhang G; Wang Y
J Orthop Surg Res; 2022 Dec; 17(1):540. PubMed ID: 36514158
[TBL] [Abstract][Full Text] [Related]
17. A practical MRI grading system for osteoarthritis of the knee: association with Kellgren-Lawrence radiographic scores.
Park HJ; Kim SS; Lee SY; Park NH; Park JY; Choi YJ; Jeon HJ
Eur J Radiol; 2013 Jan; 82(1):112-7. PubMed ID: 23107172
[TBL] [Abstract][Full Text] [Related]
18. Can we have an overall osteoarthritis severity score for the patellofemoral joint using magnetic resonance imaging? Reliability and validity.
Kobayashi S; Peduto A; Simic M; Fransen M; Refshauge K; Mah J; Pappas E
Clin Rheumatol; 2018 Apr; 37(4):1091-1098. PubMed ID: 29110109
[TBL] [Abstract][Full Text] [Related]
19. Validity and reliability of radiographic knee osteoarthritis measures by arthroplasty surgeons.
Riddle DL; Jiranek WA; Hull JR
Orthopedics; 2013 Jan; 36(1):e25-32. PubMed ID: 23276348
[TBL] [Abstract][Full Text] [Related]
20. Reliability and Accuracy of Cross-sectional Radiographic Assessment of Severe Knee Osteoarthritis: Role of Training and Experience.
Klara K; Collins JE; Gurary E; Elman SA; Stenquist DS; Losina E; Katz JN
J Rheumatol; 2016 Jul; 43(7):1421-6. PubMed ID: 27084912
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
