138 related articles for article (PubMed ID: 38695875)
41. Artificial Intelligence/Machine Learning Education in Radiology: Multi-institutional Survey of Radiology Residents in the United States.
Salastekar NV; Maxfield C; Hanna TN; Krupinski EA; Heitkamp D; Grimm LJ
Acad Radiol; 2023 Jul; 30(7):1481-1487. PubMed ID: 36710101
[TBL] [Abstract][Full Text] [Related]
42. A deep learning-based algorithm improves radiology residents' diagnoses of acute pulmonary embolism on CT pulmonary angiograms.
Vallée A; Quint R; Laure Brun A; Mellot F; Grenier PA
Eur J Radiol; 2024 Feb; 171():111324. PubMed ID: 38241853
[TBL] [Abstract][Full Text] [Related]
43. An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.
Homayounieh F; Digumarthy S; Ebrahimian S; Rueckel J; Hoppe BF; Sabel BO; Conjeti S; Ridder K; Sistermanns M; Wang L; Preuhs A; Ghesu F; Mansoor A; Moghbel M; Botwin A; Singh R; Cartmell S; Patti J; Huemmer C; Fieselmann A; Joerger C; Mirshahzadeh N; Muse V; Kalra M
JAMA Netw Open; 2021 Dec; 4(12):e2141096. PubMed ID: 34964851
[TBL] [Abstract][Full Text] [Related]
44. Artificial intelligence-assisted diagnosis of congenital heart disease and associated pulmonary arterial hypertension from chest radiographs: A multi-reader multi-case study.
Han PL; Jiang L; Cheng JL; Shi K; Huang S; Jiang Y; Jiang L; Xia Q; Li YY; Zhu M; Li K; Yang ZG
Eur J Radiol; 2024 Feb; 171():111277. PubMed ID: 38160541
[TBL] [Abstract][Full Text] [Related]
45. Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.
Jin KN; Kim EY; Kim YJ; Lee GP; Kim H; Oh S; Kim YS; Han JH; Cho YJ
Eur Radiol; 2022 May; 32(5):3469-3479. PubMed ID: 34973101
[TBL] [Abstract][Full Text] [Related]
46. Impact of the rise of artificial intelligence in radiology: What do radiologists think?
Waymel Q; Badr S; Demondion X; Cotten A; Jacques T
Diagn Interv Imaging; 2019 Jun; 100(6):327-336. PubMed ID: 31072803
[TBL] [Abstract][Full Text] [Related]
47. Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept.
Yu JS; Yu SM; Erdal BS; Demirer M; Gupta V; Bigelow M; Salvador A; Rink T; Lenobel SS; Prevedello LM; White RD
Clin Radiol; 2020 Mar; 75(3):237.e1-237.e9. PubMed ID: 31787211
[TBL] [Abstract][Full Text] [Related]
48. Trends in Upper Extremity Fracture Caseload Reporting During Orthopaedic Residency.
Hinds RM; Gottschalk MB; Egol KA; Capo JT
Bull Hosp Jt Dis (2013); 2016 Sep; 74(3):193-6. PubMed ID: 27620541
[TBL] [Abstract][Full Text] [Related]
49. Dating birth-related clavicular fractures: pediatric radiologists versus artificial intelligence.
Tsai A; Pérez-Rosselló JM; Ecklund K; Walters MM; Kleinman PK
Pediatr Radiol; 2023 May; 53(6):1117-1124. PubMed ID: 36637464
[TBL] [Abstract][Full Text] [Related]
50. Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.
Kim HE; Kim HH; Han BK; Kim KH; Han K; Nam H; Lee EH; Kim EK
Lancet Digit Health; 2020 Mar; 2(3):e138-e148. PubMed ID: 33334578
[TBL] [Abstract][Full Text] [Related]
51. Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.
Eng DK; Khandwala NB; Long J; Fefferman NR; Lala SV; Strubel NA; Milla SS; Filice RW; Sharp SE; Towbin AJ; Francavilla ML; Kaplan SL; Ecklund K; Prabhu SP; Dillon BJ; Everist BM; Anton CG; Bittman ME; Dennis R; Larson DB; Seekins JM; Silva CT; Zandieh AR; Langlotz CP; Lungren MP; Halabi SS
Radiology; 2021 Dec; 301(3):692-699. PubMed ID: 34581608
[TBL] [Abstract][Full Text] [Related]
52. Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.
Hillis JM; Bizzo BC; Mercaldo S; Chin JK; Newbury-Chaet I; Digumarthy SR; Gilman MD; Muse VV; Bottrell G; Seah JCY; Jones CM; Kalra MK; Dreyer KJ
JAMA Netw Open; 2022 Dec; 5(12):e2247172. PubMed ID: 36520432
[TBL] [Abstract][Full Text] [Related]
53. Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study.
Sato Y; Takegami Y; Asamoto T; Ono Y; Hidetoshi T; Goto R; Kitamura A; Honda S
BMC Musculoskelet Disord; 2021 May; 22(1):407. PubMed ID: 33941145
[TBL] [Abstract][Full Text] [Related]
54. Artificial intelligence diagnostic model for multi-site fracture X-ray images of extremities based on deep convolutional neural networks.
Xie Y; Li X; Chen F; Wen R; Jing Y; Liu C; Wang J
Quant Imaging Med Surg; 2024 Feb; 14(2):1930-1943. PubMed ID: 38415122
[TBL] [Abstract][Full Text] [Related]
55. Systematic Review of Radiology Residency Artificial Intelligence Curricula: Preparing Future Radiologists for the Artificial Intelligence Era.
Garin SP; Zhang V; Jeudy J; Parekh VS; Yi PH
J Am Coll Radiol; 2023 Jun; 20(6):561-569. PubMed ID: 37127217
[TBL] [Abstract][Full Text] [Related]
56. Impact of Different Artificial Intelligence User Interfaces on Lung Nodule and Mass Detection on Chest Radiographs.
Tang JSN; Lai JKC; Bui J; Wang W; Simkin P; Gai D; Chan J; Pascoe DM; Heinze SB; Gaillard F; Lui E
Radiol Artif Intell; 2023 May; 5(3):e220079. PubMed ID: 37293345
[TBL] [Abstract][Full Text] [Related]
57. Artificial intelligence-based detection of paediatric appendicular skeletal fractures: performance and limitations for common fracture types and locations.
Altmann-Schneider I; Kellenberger CJ; Pistorius SM; Saladin C; Schäfer D; Arslan N; Fischer HL; Seiler M
Pediatr Radiol; 2024 Jan; 54(1):136-145. PubMed ID: 38099929
[TBL] [Abstract][Full Text] [Related]
58. Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study.
Yacoub B; Varga-Szemes A; Schoepf UJ; Kabakus IM; Baruah D; Burt JR; Aquino GJ; Sullivan AK; Doherty JO; Hoelzer P; Sperl J; Emrich T
AJR Am J Roentgenol; 2022 Nov; 219(5):743-751. PubMed ID: 35703413
[No Abstract] [Full Text] [Related]
59. Diagnostic accuracy of a commercially available deep-learning algorithm in supine chest radiographs following trauma.
Gipson J; Tang V; Seah J; Kavnoudias H; Zia A; Lee R; Mitra B; Clements W
Br J Radiol; 2022 Jun; 95(1134):20210979. PubMed ID: 35271382
[TBL] [Abstract][Full Text] [Related]
60. Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.
Han X; Luo N; Xu L; Cao J; Guo N; He Y; Hong M; Jia X; Wang Z; Yang Z
BMC Med Imaging; 2022 Feb; 22(1):28. PubMed ID: 35177029
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]