160 related articles for article (PubMed ID: 38306741)
1. Radiologists' perspectives on the workflow integration of an artificial intelligence-based computer-aided detection system: A qualitative study.
Wenderott K; Krups J; Luetkens JA; Weigl M
Appl Ergon; 2024 May; 117():104243. PubMed ID: 38306741
[TBL] [Abstract][Full Text] [Related]
2. Prospective effects of an artificial intelligence-based computer-aided detection system for prostate imaging on routine workflow and radiologists' outcomes.
Wenderott K; Krups J; Luetkens JA; Gambashidze N; Weigl M
Eur J Radiol; 2024 Jan; 170():111252. PubMed ID: 38096741
[TBL] [Abstract][Full Text] [Related]
3. Integration of Artificial Intelligence Into Sociotechnical Work Systems-Effects of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: Protocol for a Systematic Literature Review.
Wenderott K; Gambashidze N; Weigl M
JMIR Res Protoc; 2022 Dec; 11(12):e40485. PubMed ID: 36454624
[TBL] [Abstract][Full Text] [Related]
4. Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.
Strohm L; Hehakaya C; Ranschaert ER; Boon WPC; Moors EHM
Eur Radiol; 2020 Oct; 30(10):5525-5532. PubMed ID: 32458173
[TBL] [Abstract][Full Text] [Related]
5. Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
Kim H; Choi JS; Kim K; Ko ES; Ko EY; Han BK
Eur Radiol; 2023 Oct; 33(10):7186-7198. PubMed ID: 37188881
[TBL] [Abstract][Full Text] [Related]
6. U"AI" Testing: User Interface and Usability Testing of a Chest X-ray AI Tool in a Simulated Real-World Workflow.
Lam Shin Cheung J; Ali A; Abdalla M; Fine B
Can Assoc Radiol J; 2023 May; 74(2):314-325. PubMed ID: 36189838
[No Abstract] [Full Text] [Related]
7. Assessment of Radiology Artificial Intelligence Software: A Validation and Evaluation Framework.
Tanguay W; Acar P; Fine B; Abdolell M; Gong B; Cadrin-Chênevert A; Chartrand-Lefebvre C; Chalaoui J; Gorgos A; Chin AS; Prénovault J; Guilbert F; Létourneau-Guillon L; Chong J; Tang A
Can Assoc Radiol J; 2023 May; 74(2):326-333. PubMed ID: 36341574
[TBL] [Abstract][Full Text] [Related]
8. Deploying Artificial Intelligence for Thoracic Imaging Around the World.
Singh S; Elahi A; Schweitzer A; Adekanmi A; Atalabi O; Mollura DJ; Dako F
J Am Coll Radiol; 2023 Sep; 20(9):859-862. PubMed ID: 37488027
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Analyzing Barriers and Enablers for the Acceptance of Artificial Intelligence Innovations into Radiology Practice: A Scoping Review.
Eltawil FA; Atalla M; Boulos E; Amirabadi A; Tyrrell PN
Tomography; 2023 Jul; 9(4):1443-1455. PubMed ID: 37624108
[TBL] [Abstract][Full Text] [Related]
11. A holistic approach to implementing artificial intelligence in radiology.
Kim B; Romeijn S; van Buchem M; Mehrizi MHR; Grootjans W
Insights Imaging; 2024 Jan; 15(1):22. PubMed ID: 38270790
[TBL] [Abstract][Full Text] [Related]
12. Is AI the Ultimate QA?
Weisberg EM; Chu LC; Nguyen BD; Tran P; Fishman EK
J Digit Imaging; 2022 Jun; 35(3):534-537. PubMed ID: 35169963
[TBL] [Abstract][Full Text] [Related]
13. Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.
Canoni-Meynet L; Verdot P; Danner A; Calame P; Aubry S
Diagn Interv Imaging; 2022 Dec; 103(12):594-600. PubMed ID: 35780054
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health.
Onno J; Ahmad Khan F; Daftary A; David PM
Soc Sci Med; 2023 Jun; 327():115949. PubMed ID: 37207379
[TBL] [Abstract][Full Text] [Related]
15. The added value of AI-based computer-aided diagnosis in classification of cancer at prostate MRI.
Liu G; Pan S; Zhao R; Zhou H; Chen J; Zhou X; Xu J; Zhou Y; Xue W; Wu G
Eur Radiol; 2023 Jul; 33(7):5118-5130. PubMed ID: 36725719
[TBL] [Abstract][Full Text] [Related]
16. Artificial Intelligence: A Private Practice Perspective.
Kottler N
J Am Coll Radiol; 2020 Nov; 17(11):1398-1404. PubMed ID: 33010212
[TBL] [Abstract][Full Text] [Related]
17. The Impact of Expectation Management and Model Transparency on Radiologists' Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study.
Ewals LJS; Heesterbeek LJJ; Yu B; van der Wulp K; Mavroeidis D; Funk M; Snijders CCP; Jacobs I; Nederend J; Pluyter JR;
JMIR AI; 2024 Mar; 3():e52211. PubMed ID: 38875574
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.
Penzkofer T; Padhani AR; Turkbey B; Haider MA; Huisman H; Walz J; Salomon G; Schoots IG; Richenberg J; Villeirs G; Panebianco V; Rouviere O; Logager VB; Barentsz J
Eur Radiol; 2021 Dec; 31(12):9567-9578. PubMed ID: 33991226
[TBL] [Abstract][Full Text] [Related]
20. Thoracic Radiologists' Versus Computer Scientists' Perspectives on the Future of Artificial Intelligence in Radiology.
Eltorai AEM; Bratt AK; Guo HH
J Thorac Imaging; 2020 Jul; 35(4):255-259. PubMed ID: 31609778
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]