177 related articles for article (PubMed ID: 36881548)
1. Can a Deep Learning Algorithm Improve Detection of Occult Scaphoid Fractures in Plain Radiographs? A Clinical Validation Study.
Yoon AP; Chung WT; Wang CW; Kuo CF; Lin C; Chung KC
Clin Orthop Relat Res; 2023 Sep; 481(9):1828-1835. PubMed ID: 36881548
[TBL] [Abstract][Full Text] [Related]
2. Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?
Langerhuizen DWG; Bulstra AEJ; Janssen SJ; Ring D; Kerkhoffs GMMJ; Jaarsma RL; Doornberg JN
Clin Orthop Relat Res; 2020 Nov; 478(11):2653-2659. PubMed ID: 32452927
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs.
Yoon AP; Lee YL; Kane RL; Kuo CF; Lin C; Chung KC
JAMA Netw Open; 2021 May; 4(5):e216096. PubMed ID: 33956133
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of an artificial intelligence system for diagnosing scaphoid fracture on direct radiography.
Ozkaya E; Topal FE; Bulut T; Gursoy M; Ozuysal M; Karakaya Z
Eur J Trauma Emerg Surg; 2022 Feb; 48(1):585-592. PubMed ID: 32862314
[TBL] [Abstract][Full Text] [Related]
5. Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist.
Hendrix N; Hendrix W; van Dijke K; Maresch B; Maas M; Bollen S; Scholtens A; de Jonge M; Ong LS; van Ginneken B; Rutten M
Eur Radiol; 2023 Mar; 33(3):1575-1588. PubMed ID: 36380195
[TBL] [Abstract][Full Text] [Related]
6. 6-week radiographs unsuitable for diagnosis of suspected scaphoid fractures.
Mallee WH; Mellema JJ; Guitton TG; Goslings JC; Ring D; Doornberg JN;
Arch Orthop Trauma Surg; 2016 Jun; 136(6):771-8. PubMed ID: 27026536
[TBL] [Abstract][Full Text] [Related]
7. Diagnostic value of cone beam computed tomography (CBCT) in occult scaphoid and wrist fractures.
Borel C; Larbi A; Delclaux S; Lapegue F; Chiavassa-Gandois H; Sans N; Faruch-Bilfeld M
Eur J Radiol; 2017 Dec; 97():59-64. PubMed ID: 29153368
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types.
Anderson PG; Baum GL; Keathley N; Sicular S; Venkatesh S; Sharma A; Daluiski A; Potter H; Hotchkiss R; Lindsey RV; Jones RM
Clin Orthop Relat Res; 2023 Mar; 481(3):580-588. PubMed ID: 36083847
[TBL] [Abstract][Full Text] [Related]
9. Diagnostic Performance and Advanced Imaging Reduction With Digital Tomosynthesis in Scaphoid Fracture Management.
Perloff E; Cole K; Sternbach S; Rosenbaum A; Quinn D
Hand (N Y); 2022 Nov; 17(6):1128-1132. PubMed ID: 33491465
[TBL] [Abstract][Full Text] [Related]
10. Prospective comparison of magnetic resonance imaging and computed tomography in diagnosing occult scaphoid fractures.
Sahu A; Kuek DK; MacCormick A; Gozzard C; Ninan T; Fullilove S; Suresh P
Acta Radiol; 2023 Jan; 64(1):201-207. PubMed ID: 34918571
[TBL] [Abstract][Full Text] [Related]
11. A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma.
Bulstra AEJ;
J Hand Surg Am; 2022 Aug; 47(8):709-718. PubMed ID: 35667955
[TBL] [Abstract][Full Text] [Related]
12. Diagnosis of occult scaphoid fractures and other wrist injuries. Are repeated clinical examinations and plain radiographs still state of the art?
Gäbler C; Kukla C; Breitenseher MJ; Trattnig S; Vécsei V
Langenbecks Arch Surg; 2001 Mar; 386(2):150-4. PubMed ID: 11374049
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of a convolutional neural network to identify scaphoid fractures on radiographs.
Li T; Yin Y; Yi Z; Guo Z; Guo Z; Chen S
J Hand Surg Eur Vol; 2023 May; 48(5):445-450. PubMed ID: 36205038
[TBL] [Abstract][Full Text] [Related]
14. Diagnosis of Occult Scaphoid Fractures: A Cost-Effectiveness Analysis.
Karl JW; Swart E; Strauch RJ
J Bone Joint Surg Am; 2015 Nov; 97(22):1860-8. PubMed ID: 26582616
[TBL] [Abstract][Full Text] [Related]
15. Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer.
Joo MW; Ko T; Kim MS; Lee YS; Shin SH; Chung YG; Lee HK
Clin Orthop Relat Res; 2023 Nov; 481(11):2247-2256. PubMed ID: 37615504
[TBL] [Abstract][Full Text] [Related]
16. Management and Outcomes of Clinical Scaphoid Fractures in Children.
Karir A; Huynh MNQ; Carsen S; Smit K; Cheung K
Hand (N Y); 2022 May; 17(3):459-464. PubMed ID: 32609009
[No Abstract] [Full Text] [Related]
17. What Is the Diagnostic Performance of Conventional Radiographs and Clinical Reassessment Compared With HR-pQCT Scaphoid Fracture Diagnosis?
Daniels AM; Kranendonk J; Wyers CE; Janzing HMJ; Sassen S; van Rietbergen B; Geusens PPMM; Kaarsemaker S; Hannemann PFW; Poeze M; van den Bergh JP
Clin Orthop Relat Res; 2023 Jan; 481(1):97-104. PubMed ID: 35833810
[TBL] [Abstract][Full Text] [Related]
18. Detecting pediatric wrist fractures using deep-learning-based object detection.
Zech JR; Carotenuto G; Igbinoba Z; Tran CV; Insley E; Baccarella A; Wong TT
Pediatr Radiol; 2023 May; 53(6):1125-1134. PubMed ID: 36650360
[TBL] [Abstract][Full Text] [Related]
19. Comparison of sagittal computed tomography and plain film radiography in a scaphoid fracture model.
Temple CL; Ross DC; Bennett JD; Garvin GJ; King GJ; Faber KJ
J Hand Surg Am; 2005 May; 30(3):534-42. PubMed ID: 15925164
[TBL] [Abstract][Full Text] [Related]
20. Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs.
Hendrix N; Scholten E; Vernhout B; Bruijnen S; Maresch B; de Jong M; Diepstraten S; Bollen S; Schalekamp S; de Rooij M; Scholtens A; Hendrix W; Samson T; Sharon Ong LL; Postma E; van Ginneken B; Rutten M
Radiol Artif Intell; 2021 Jul; 3(4):e200260. PubMed ID: 34350413
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
