270 related articles for article (PubMed ID: 33219850)
1. Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation.
Baltruschat I; Steinmeister L; Nickisch H; Saalbach A; Grass M; Adam G; Knopp T; Ittrich H
Eur Radiol; 2021 Jun; 31(6):3837-3845. PubMed ID: 33219850
[TBL] [Abstract][Full Text] [Related]
2. Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT.
Topff L; Ranschaert ER; Bartels-Rutten A; Negoita A; Menezes R; Beets-Tan RGH; Visser JJ
Radiol Cardiothorac Imaging; 2023 Apr; 5(2):e220163. PubMed ID: 37124638
[TBL] [Abstract][Full Text] [Related]
3. Use of artificial intelligence in triaging of chest radiographs to reduce radiologists' workload.
Yoon SH; Park S; Jang S; Kim J; Lee KW; Lee W; Lee S; Yun G; Lee KH
Eur Radiol; 2024 Feb; 34(2):1094-1103. PubMed ID: 37615766
[TBL] [Abstract][Full Text] [Related]
4. Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans.
Gibson E; Georgescu B; Ceccaldi P; Trigan PH; Yoo Y; Das J; Re TJ; Rs V; Balachandran A; Eibenberger E; Chekkoury A; Brehm B; Bodanapally UK; Nicolaou S; Sanelli PC; Schroeppel TJ; Flohr T; Comaniciu D; Lui YW
Radiol Artif Intell; 2022 May; 4(3):e210115. PubMed ID: 35652116
[TBL] [Abstract][Full Text] [Related]
5. Radiologist Worklist Reprioritization Using Artificial Intelligence: Impact on Report Turnaround Times for CTPA Examinations Positive for Acute Pulmonary Embolism.
Batra K; Xi Y; Bhagwat S; Espino A; Peshock RM
AJR Am J Roentgenol; 2023 Sep; 221(3):324-333. PubMed ID: 37095668
[No Abstract] [Full Text] [Related]
6. Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.
Yoo H; Kim EY; Kim H; Choi YR; Kim MY; Hwang SH; Kim YJ; Cho YJ; Jin KN
Korean J Radiol; 2022 Oct; 23(10):1009-1018. PubMed ID: 36175002
[TBL] [Abstract][Full Text] [Related]
7. Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.
Kapoor N; Lacson R; Khorasani R
J Am Coll Radiol; 2020 Nov; 17(11):1363-1370. PubMed ID: 33153540
[TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage.
Rudolph J; Huemmer C; Ghesu FC; Mansoor A; Preuhs A; Fieselmann A; Fink N; Dinkel J; Koliogiannis V; Schwarze V; Goller S; Fischer M; Jörgens M; Ben Khaled N; Vishwanath RS; Balachandran A; Ingrisch M; Ricke J; Sabel BO; Rueckel J
Invest Radiol; 2022 Feb; 57(2):90-98. PubMed ID: 34352804
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Impact of a Reading Priority Scoring System on the Prioritization of Examination Interpretations.
Gaskin CM; Patrie JT; Hanshew MD; Boatman DM; McWey RP
AJR Am J Roentgenol; 2016 May; 206(5):1031-9. PubMed ID: 26999578
[TBL] [Abstract][Full Text] [Related]
11. Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study.
Liu PY; Tsai YS; Chen PL; Tsai HP; Hsu LW; Wang CS; Lee NY; Huang MS; Wu YC; Ko WC; Yang YC; Chiang JH; Shen MR
J Med Internet Res; 2020 Oct; 22(10):e19878. PubMed ID: 33001832
[TBL] [Abstract][Full Text] [Related]
12. Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.
Do HM; Spear LG; Nikpanah M; Mirmomen SM; Machado LB; Toscano AP; Turkbey B; Bagheri MH; Gulley JL; Folio LR
Acad Radiol; 2020 Jan; 27(1):96-105. PubMed ID: 31818390
[TBL] [Abstract][Full Text] [Related]
13. Automated pneumothorax triaging in chest X-rays in the New Zealand population using deep-learning algorithms.
Feng S; Liu Q; Patel A; Bazai SU; Jin CK; Kim JS; Sarrafzadeh M; Azzollini D; Yeoh J; Kim E; Gordon S; Jang-Jaccard J; Urschler M; Barnard S; Fong A; Simmers C; Tarr GP; Wilson B
J Med Imaging Radiat Oncol; 2022 Dec; 66(8):1035-1043. PubMed ID: 35224858
[TBL] [Abstract][Full Text] [Related]
14. Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis.
Rudolph J; Schachtner B; Fink N; Koliogiannis V; Schwarze V; Goller S; Trappmann L; Hoppe BF; Mansour N; Fischer M; Ben Khaled N; Jörgens M; Dinkel J; Kunz WG; Ricke J; Ingrisch M; Sabel BO; Rueckel J
Sci Rep; 2022 Jul; 12(1):12764. PubMed ID: 35896763
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Seamless Integration of Artificial Intelligence Into the Clinical Environment: Our Experience With a Novel Pneumothorax Detection Artificial Intelligence Algorithm.
Pierce JD; Rosipko B; Youngblood L; Gilkeson RC; Gupta A; Bittencourt LK
J Am Coll Radiol; 2021 Nov; 18(11):1497-1505. PubMed ID: 34597622
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study.
Cid YD; Macpherson M; Gervais-Andre L; Zhu Y; Franco G; Santeramo R; Lim C; Selby I; Muthuswamy K; Amlani A; Hopewell H; Indrajeet D; Liakata M; Hutchinson CE; Goh V; Montana G
Lancet Digit Health; 2024 Jan; 6(1):e44-e57. PubMed ID: 38071118
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.
Rueckel J; Huemmer C; Fieselmann A; Ghesu FC; Mansoor A; Schachtner B; Wesp P; Trappmann L; Munawwar B; Ricke J; Ingrisch M; Sabel BO
Eur Radiol; 2021 Oct; 31(10):7888-7900. PubMed ID: 33774722
[TBL] [Abstract][Full Text] [Related]
20. Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks.
Annarumma M; Withey SJ; Bakewell RJ; Pesce E; Goh V; Montana G
Radiology; 2019 Apr; 291(1):196-202. PubMed ID: 30667333
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
