These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
298 related articles for article (PubMed ID: 36175002)
1. 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]
2. Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms. Qin ZZ; Ahmed S; Sarker MS; Paul K; Adel ASS; Naheyan T; Barrett R; Banu S; Creswell J Lancet Digit Health; 2021 Sep; 3(9):e543-e554. PubMed ID: 34446265 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort. Kim EY; Kim YJ; Choi WJ; Lee GP; Choi YR; Jin KN; Cho YJ PLoS One; 2021; 16(2):e0246472. PubMed ID: 33606779 [TBL] [Abstract][Full Text] [Related]
5. AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset. Yoo H; Lee SH; Arru CD; Doda Khera R; Singh R; Siebert S; Kim D; Lee Y; Park JH; Eom HJ; Digumarthy SR; Kalra MK Eur Radiol; 2021 Dec; 31(12):9664-9674. PubMed ID: 34089072 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Association of Artificial Intelligence-Aided Chest Radiograph Interpretation With Reader Performance and Efficiency. Ahn JS; Ebrahimian S; McDermott S; Lee S; Naccarato L; Di Capua JF; Wu MY; Zhang EW; Muse V; Miller B; Sabzalipour F; Bizzo BC; Dreyer KJ; Kaviani P; Digumarthy SR; Kalra MK JAMA Netw Open; 2022 Aug; 5(8):e2229289. PubMed ID: 36044215 [TBL] [Abstract][Full Text] [Related]
8. Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs. Bennani S; Regnard NE; Ventre J; Lassalle L; Nguyen T; Ducarouge A; Dargent L; Guillo E; Gouhier E; Zaimi SH; Canniff E; Malandrin C; Khafagy P; Koulakian H; Revel MP; Chassagnon G Radiology; 2023 Dec; 309(3):e230860. PubMed ID: 38085079 [TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence system for identification of false-negative interpretations in chest radiographs. Hwang EJ; Park J; Hong W; Lee HJ; Choi H; Kim H; Nam JG; Goo JM; Yoon SH; Lee CH; Park CM Eur Radiol; 2022 Jul; 32(7):4468-4478. PubMed ID: 35195744 [TBL] [Abstract][Full Text] [Related]
10. Retrospectively assessing evaluation and management of artificial-intelligence detected nodules on uninterpreted chest radiographs in the era of radiologists shortage. Kirshenboim Z; Gilat EK; Carl L; Bekker E; Tau N; Klug M; Konen E; Marom EM Eur J Radiol; 2024 Jan; 170():111241. PubMed ID: 38042019 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Evaluation of the Performance of an Artificial Intelligence (AI) Algorithm in Detecting Thoracic Pathologies on Chest Radiographs. Bettinger H; Lenczner G; Guigui J; Rotenberg L; Zerbib E; Attia A; Vidal J; Beaumel P Diagnostics (Basel); 2024 Jun; 14(11):. PubMed ID: 38893709 [TBL] [Abstract][Full Text] [Related]
14. Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence. Kim C; Yang Z; Park SH; Hwang SH; Oh YW; Kang EY; Yong HS Eur Radiol; 2023 May; 33(5):3501-3509. PubMed ID: 36624227 [TBL] [Abstract][Full Text] [Related]
16. Validation study of machine-learning chest radiograph software in primary and emergency medicine. van Beek EJR; Ahn JS; Kim MJ; Murchison JT Clin Radiol; 2023 Jan; 78(1):1-7. PubMed ID: 36171164 [TBL] [Abstract][Full Text] [Related]
17. The impact of artificial intelligence on the reading times of radiologists for chest radiographs. Shin HJ; Han K; Ryu L; Kim EK NPJ Digit Med; 2023 Apr; 6(1):82. PubMed ID: 37120423 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance. Tam MDBS; Dyer T; Dissez G; Morgan TN; Hughes M; Illes J; Rasalingham R; Rasalingham S Clin Radiol; 2021 Aug; 76(8):607-614. PubMed ID: 33993997 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]