137 related articles for article (PubMed ID: 38169426)
1. Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge.
Lee GR; Flanders AE; Richards T; Kitamura F; Colak E; Lin HM; Ball RL; Talbott J; Prevedello LM
Radiol Artif Intell; 2024 Jan; 6(1):e230256. PubMed ID: 38169426
[TBL] [Abstract][Full Text] [Related]
2. Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?
Li YC; Chen HH; Horng-Shing Lu H; Hondar Wu HT; Chang MC; Chou PH
Clin Orthop Relat Res; 2021 Jul; 479(7):1598-1612. PubMed ID: 33651768
[TBL] [Abstract][Full Text] [Related]
3. Towards clinical implementation of an AI-algorithm for detection of cervical spine fractures on computed tomography.
Ruitenbeek HC; Oei EHG; Schmahl BL; Bos EM; Verdonschot RJCG; Visser JJ
Eur J Radiol; 2024 Apr; 173():111375. PubMed ID: 38377894
[TBL] [Abstract][Full Text] [Related]
4. Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures.
Voter AF; Larson ME; Garrett JW; Yu JJ
AJNR Am J Neuroradiol; 2021 Aug; 42(8):1550-1556. PubMed ID: 34117018
[TBL] [Abstract][Full Text] [Related]
5. Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.
van den Wittenboer GJ; van der Kolk BYM; Nijholt IM; Langius-Wiffen E; van Dijk RA; van Hasselt BAAM; Podlogar M; van den Brink WA; Bouma GJ; Schep NWL; Maas M; Boomsma MF
Eur Radiol; 2024 Jan; ():. PubMed ID: 38206401
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Ground truth generalizability affects performance of the artificial intelligence model in automated vertebral fracture detection on plain lateral radiographs of the spine.
Chou PH; Jou TH; Wu HH; Yao YC; Lin HH; Chang MC; Wang ST; Lu HH; Chen HH
Spine J; 2022 Apr; 22(4):511-523. PubMed ID: 34737066
[TBL] [Abstract][Full Text] [Related]
8. Development of a Machine Learning-Based Model for Accurate Detection and Classification of Cervical Spine Fractures Using CT Imaging.
Riazi Esfahani P; Guirgus M; Maalouf M; Mazboudi P; Reddy AJ; Sarsour RO; Hassan SS
Cureus; 2023 Oct; 15(10):e47328. PubMed ID: 38021776
[TBL] [Abstract][Full Text] [Related]
9. What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.
Langerhuizen DWG; Janssen SJ; Mallee WH; van den Bekerom MPJ; Ring D; Kerkhoffs GMMJ; Jaarsma RL; Doornberg JN
Clin Orthop Relat Res; 2019 Nov; 477(11):2482-2491. PubMed ID: 31283727
[TBL] [Abstract][Full Text] [Related]
10. Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.
Kuo RYL; Harrison C; Curran TA; Jones B; Freethy A; Cussons D; Stewart M; Collins GS; Furniss D
Radiology; 2022 Jul; 304(1):50-62. PubMed ID: 35348381
[TBL] [Abstract][Full Text] [Related]
11. Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning.
Muehlematter UJ; Mannil M; Becker AS; Vokinger KN; Finkenstaedt T; Osterhoff G; Fischer MA; Guggenberger R
Eur Radiol; 2019 May; 29(5):2207-2217. PubMed ID: 30519934
[TBL] [Abstract][Full Text] [Related]
12. Assessment of artificial intelligence-aided reading in the detection of nasal bone fractures.
Yang C; Yang L; Gao GD; Zong HQ; Gao D
Technol Health Care; 2023; 31(3):1017-1025. PubMed ID: 36442167
[TBL] [Abstract][Full Text] [Related]
13. Assessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence Competition.
Jiang B; Ozkara BB; Zhu G; Boothroyd D; Allen JW; Barboriak DP; Chang P; Chan C; Chaudhari R; Chen H; Chukus A; Ding V; Douglas D; Filippi CG; Flanders AE; Godwin R; Hashmi S; Hess C; Hsu K; Lui YW; Maldjian JA; Michel P; Nalawade SS; Patel V; Raghavan P; Sair HI; Tanabe J; Welker K; Whitlow CT; Zaharchuk G; Wintermark M
AJNR Am J Neuroradiol; 2024 May; ():. PubMed ID: 38663992
[TBL] [Abstract][Full Text] [Related]
14. Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction.
van Leeuwen KG; Schalekamp S; Rutten MJCM; Huisman M; Schaefer-Prokop CM; de Rooij M; van Ginneken B; Maresch B; Geurts BHJ; van Dijke CF; Laupman-Koedam E; Hulleman EV; Verhoeff EL; Meys EMJ; Mohamed Hoesein FAA; Ter Brugge FM; van Hoorn F; van der Wel F; van den Berk IAH; Luyendijk JM; Meakin J; Habets J; Verbeke JIML; Nederend J; Meys KME; Deden LN; Langezaal LCM; Nasrollah M; Meij M; Boomsma MF; Vermeulen M; Vestering MM; Vijlbrief O; Algra P; Algra S; Bollen SM; Samson T; von Brucken Fock YHG;
Radiology; 2024 Jan; 310(1):e230981. PubMed ID: 38193833
[TBL] [Abstract][Full Text] [Related]
15. Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study.
Duron L; Ducarouge A; Gillibert A; Lainé J; Allouche C; Cherel N; Zhang Z; Nitche N; Lacave E; Pourchot A; Felter A; Lassalle L; Regnard NE; Feydy A
Radiology; 2021 Jul; 300(1):120-129. PubMed ID: 33944629
[TBL] [Abstract][Full Text] [Related]
16. Cervical spine fracture detection in computed tomography using convolutional neural networks.
Golla AK; Lorenz C; Buerger C; Lossau T; Klinder T; Mutze S; Arndt H; Spohn F; Mittmann M; Goelz L
Phys Med Biol; 2023 May; 68(11):. PubMed ID: 37167980
[No Abstract] [Full Text] [Related]
17. Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.
Lex JR; Di Michele J; Koucheki R; Pincus D; Whyne C; Ravi B
JAMA Netw Open; 2023 Mar; 6(3):e233391. PubMed ID: 36930153
[TBL] [Abstract][Full Text] [Related]
18. Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.
Guermazi A; Tannoury C; Kompel AJ; Murakami AM; Ducarouge A; Gillibert A; Li X; Tournier A; Lahoud Y; Jarraya M; Lacave E; Rahimi H; Pourchot A; Parisien RL; Merritt AC; Comeau D; Regnard NE; Hayashi D
Radiology; 2022 Mar; 302(3):627-636. PubMed ID: 34931859
[TBL] [Abstract][Full Text] [Related]
19. Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes.
Lee MH; Zea R; Garrett JW; Graffy PM; Summers RM; Pickhardt PJ
Radiology; 2023 Feb; 306(2):e220574. PubMed ID: 36165792
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
