138 related articles for article (PubMed ID: 38695875)
21. 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]
22. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability.
Tajmir SH; Lee H; Shailam R; Gale HI; Nguyen JC; Westra SJ; Lim R; Yune S; Gee MS; Do S
Skeletal Radiol; 2019 Feb; 48(2):275-283. PubMed ID: 30069585
[TBL] [Abstract][Full Text] [Related]
23. Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT.
Yacoub B; Kabakus IM; Schoepf UJ; Giovagnoli VM; Fischer AM; Wichmann JL; Martinez JD; Sharma P; Rapaka S; Sahbaee P; Hoelzer P; Burt JR; Varga-Szemes A; Emrich T
Acad Radiol; 2022 Feb; 29 Suppl 2():S108-S117. PubMed ID: 33714665
[TBL] [Abstract][Full Text] [Related]
24. Artificial Intelligence for Detecting Acute Fractures in Patients Admitted to an Emergency Department: Real-Life Performance of Three Commercial Algorithms.
Bousson V; Attané G; Benoist N; Perronne L; Diallo A; Hadid-Beurrier L; Martin E; Hamzi L; Depil Duval A; Revue E; Vicaut E; Salvat C
Acad Radiol; 2023 Oct; 30(10):2118-2139. PubMed ID: 37468377
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Effect of Human-AI Interaction on Detection of Malignant Lung Nodules on Chest Radiographs.
Lee JH; Hong H; Nam G; Hwang EJ; Park CM
Radiology; 2023 Jun; 307(5):e222976. PubMed ID: 37367443
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Can AI outperform a junior resident? Comparison of deep neural network to first-year radiology residents for identification of pneumothorax.
Yi PH; Kim TK; Yu AC; Bennett B; Eng J; Lin CT
Emerg Radiol; 2020 Aug; 27(4):367-375. PubMed ID: 32643070
[TBL] [Abstract][Full Text] [Related]
29. Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning.
Hayashi D; Kompel AJ; Ventre J; Ducarouge A; Nguyen T; Regnard NE; Guermazi A
Skeletal Radiol; 2022 Nov; 51(11):2129-2139. PubMed ID: 35522332
[TBL] [Abstract][Full Text] [Related]
30. The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents.
Pekçevik Y; Orbatu D; Güngör F; Yıldırım O; Yaşar E; Yimer MA; Şişman AR; Emiroğlu M; Dao L; Cohen JP; Sevinç S
Br J Radiol; 2022 Oct; 95(1139):20210688. PubMed ID: 36062807
[TBL] [Abstract][Full Text] [Related]
31. On-call musculoskeletal radiographs: discrepancy rates between radiology residents and musculoskeletal radiologists.
Kung JW; Melenevsky Y; Hochman MG; Didolkar MM; Yablon CM; Eisenberg RL; Wu JS
AJR Am J Roentgenol; 2013 Apr; 200(4):856-9. PubMed ID: 23521460
[TBL] [Abstract][Full Text] [Related]
32. External validation of an artificial intelligence solution for the detection of elbow fractures and joint effusions in children.
Dupuis M; Delbos L; Rouquette A; Adamsbaum C; Veil R
Diagn Interv Imaging; 2024 Mar; 105(3):104-109. PubMed ID: 37813759
[TBL] [Abstract][Full Text] [Related]
33. Diagnostic Accuracy of 3D Ultrasound and Artificial Intelligence for Detection of Pediatric Wrist Injuries.
Zhang J; Boora N; Melendez S; Rakkunedeth Hareendranathan A; Jaremko J
Children (Basel); 2021 May; 8(6):. PubMed ID: 34063945
[TBL] [Abstract][Full Text] [Related]
34. Artificial intelligence in diagnosing upper limb musculoskeletal disorders: a systematic review and meta-analysis of diagnostic tests.
Droppelmann G; Rodríguez C; Jorquera C; Feijoo F
EFORT Open Rev; 2024 Apr; 9(4):241-251. PubMed ID: 38579757
[TBL] [Abstract][Full Text] [Related]
35. Clinical Validation of an Artificial Intelligence Model for Detecting Distal Radius, Ulnar Styloid, and Scaphoid Fractures on Conventional Wrist Radiographs.
Lee KC; Choi IC; Kang CH; Ahn KS; Yoon H; Lee JJ; Kim BH; Shim E
Diagnostics (Basel); 2023 May; 13(9):. PubMed ID: 37175048
[TBL] [Abstract][Full Text] [Related]
36. Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the
Zech JR; Santomartino SM; Yi PH
AJR Am J Roentgenol; 2022 Dec; 219(6):869-878. PubMed ID: 35731103
[TBL] [Abstract][Full Text] [Related]
37. Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation.
Chassagnon G; Billet N; Rutten C; Toussaint T; Cassius de Linval Q; Collin M; Lemouchi L; Homps M; Hedjoudje M; Ventre J; Gregory J; Canniff E; Regnard NE; Bennani S; Revel MP
Eur Radiol; 2023 Nov; 33(11):8241-8250. PubMed ID: 37572190
[TBL] [Abstract][Full Text] [Related]
38. Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm.
Chen YS; Luo SD; Lee CH; Lin JF; Lin TY; Ko SF; Yu CC; Chiang PL; Wang CK; Chiu IM; Huang YT; Tai YF; Chiang PT; Lin WC
Insights Imaging; 2023 Mar; 14(1):43. PubMed ID: 36929090
[TBL] [Abstract][Full Text] [Related]
39. Automated detection of steno-occlusive lesion on time-of-flight magnetic resonance angiography: an observer performance study.
Lim H; Choi D; Sunwoo L; Jung JH; Baik SH; Cho SJ; Jang J; Kim T; Lee KJ
AJNR Am J Neuroradiol; 2024 May; ():. PubMed ID: 38719612
[TBL] [Abstract][Full Text] [Related]
40. Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study.
Lee JH; Kim KH; Lee EH; Ahn JS; Ryu JK; Park YM; Shin GW; Kim YJ; Choi HY
Korean J Radiol; 2022 May; 23(5):505-516. PubMed ID: 35434976
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
