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.
160 related articles for article (PubMed ID: 23947340)
1. Automated identification of pneumonia in chest radiograph reports in critically ill patients. Liu V; Clark MP; Mendoza M; Saket R; Gardner MN; Turk BJ; Escobar GJ BMC Med Inform Decis Mak; 2013 Aug; 13():90. PubMed ID: 23947340 [TBL] [Abstract][Full Text] [Related]
2. Comparison of Chest Radiograph Impressions for Diagnosing Pneumonia: Accounting for Categories of Language Certainty. Makhnevich A; Sinvani L; Feldhamer KH; Zhang M; Richardson S; McGinn TG; Cohen SL J Am Coll Radiol; 2022 Oct; 19(10):1130-1137. PubMed ID: 35792164 [TBL] [Abstract][Full Text] [Related]
3. Community-acquired pneumonia in primary care: clinical assessment and the usability of chest radiography. Moberg AB; Taléus U; Garvin P; Fransson SG; Falk M Scand J Prim Health Care; 2016; 34(1):21-7. PubMed ID: 26849394 [TBL] [Abstract][Full Text] [Related]
4. Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data. Marafino BJ; Park M; Davies JM; Thombley R; Luft HS; Sing DC; Kazi DS; DeJong C; Boscardin WJ; Dean ML; Dudley RA JAMA Netw Open; 2018 Dec; 1(8):e185097. PubMed ID: 30646310 [TBL] [Abstract][Full Text] [Related]
5. A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing. Panny A; Hegde H; Glurich I; Scannapieco FA; Vedre JG; VanWormer JJ; Miecznikowski J; Acharya A Methods Inf Med; 2022 May; 61(1-02):38-45. PubMed ID: 35381617 [TBL] [Abstract][Full Text] [Related]
6. The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia. Rixe N; Frisch A; Wang Z; Martin JM; Suresh S; Florin TA; Ramgopal S Front Digit Health; 2023; 5():1104604. PubMed ID: 36910570 [TBL] [Abstract][Full Text] [Related]
7. Natural Language Processing to identify pneumonia from radiology reports. Dublin S; Baldwin E; Walker RL; Christensen LM; Haug PJ; Jackson ML; Nelson JC; Ferraro J; Carrell D; Chapman WW Pharmacoepidemiol Drug Saf; 2013 Aug; 22(8):834-41. PubMed ID: 23554109 [TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists. Rueckel J; Kunz WG; Hoppe BF; Patzig M; Notohamiprodjo M; Meinel FG; Cyran CC; Ingrisch M; Ricke J; Sabel BO Crit Care Med; 2020 Jul; 48(7):e574-e583. PubMed ID: 32433121 [TBL] [Abstract][Full Text] [Related]
9. Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments. Jones BE; South BR; Shao Y; Lu CC; Leng J; Sauer BC; Gundlapalli AV; Samore MH; Zeng Q Appl Clin Inform; 2018 Jan; 9(1):122-128. PubMed ID: 29466818 [TBL] [Abstract][Full Text] [Related]
10. The chest radiograph in critically ill surgical patients is inaccurate in predicting ventilator-associated pneumonia. Butler KL; Sinclair KE; Henderson VJ; McKinney G; Mesidor DA; Katon-Benitez I; Weaver WL Am Surg; 1999 Sep; 65(9):805-9; discussion 809-10. PubMed ID: 10484081 [TBL] [Abstract][Full Text] [Related]
11. Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists. Zhang Y; Liu M; Zhang L; Wang L; Zhao K; Hu S; Chen X; Xie X JAMA Netw Open; 2023 Feb; 6(2):e2255113. PubMed ID: 36753278 [TBL] [Abstract][Full Text] [Related]
12. Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays. Gidde PS; Prasad SS; Singh AP; Bhatheja N; Prakash S; Singh P; Saboo A; Takhar R; Gupta S; Saurav S; M V R; Singh A; Sardana V; Mahajan H; Kalyanpur A; Mandal AS; Mahajan V; Agrawal A; Agrawal A; Venugopal VK; Singh S; Dash D Sci Rep; 2021 Dec; 11(1):23210. PubMed ID: 34853342 [TBL] [Abstract][Full Text] [Related]
13. Lung Ultrasound vs. Chest X-Ray Study for the Radiographic Diagnosis of COVID-19 Pneumonia in a High-Prevalence Population. Gibbons RC; Magee M; Goett H; Murrett J; Genninger J; Mendez K; Tripod M; Tyner N; Costantino TG J Emerg Med; 2021 May; 60(5):615-625. PubMed ID: 33722414 [TBL] [Abstract][Full Text] [Related]
14. An algorithm combining procalcitonin and lung ultrasound improves the diagnosis of bacterial pneumonia in critically ill children: The PROLUSP study, a randomized clinical trial. Guitart C; Rodríguez-Fanjul J; Bobillo-Perez S; Carrasco JL; Inarejos Clemente EJ; Cambra FJ; Balaguer M; Jordan I Pediatr Pulmonol; 2022 Mar; 57(3):711-723. PubMed ID: 34921717 [TBL] [Abstract][Full Text] [Related]
15. Natural language processing of radiology reports for identification of skeletal site-specific fractures. Wang Y; Mehrabi S; Sohn S; Atkinson EJ; Amin S; Liu H BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 3):73. PubMed ID: 30943952 [TBL] [Abstract][Full Text] [Related]
16. Natural Language Processing to Identify Pulmonary Nodules and Extract Nodule Characteristics From Radiology Reports. Zheng C; Huang BZ; Agazaryan AA; Creekmur B; Osuj TA; Gould MK Chest; 2021 Nov; 160(5):1902-1914. PubMed ID: 34089738 [TBL] [Abstract][Full Text] [Related]
17. Chest radiograph vs. computed tomography scan in the evaluation for pneumonia. Hayden GE; Wrenn KW J Emerg Med; 2009 Apr; 36(3):266-70. PubMed ID: 18571356 [TBL] [Abstract][Full Text] [Related]
18. The Clinical Utility of Chest Radiography for Identifying Pneumonia: Accounting for Diagnostic Uncertainty in Radiology Reports. Makhnevich A; Sinvani L; Cohen SL; Feldhamer KH; Zhang M; Lesser ML; McGinn TG AJR Am J Roentgenol; 2019 Dec; 213(6):1207-1212. PubMed ID: 31509449 [No Abstract] [Full Text] [Related]
19. Diagnostic accuracy of portable chest radiograph in mechanically ventilated patients when compared with autopsy findings. Panizo-Alcañiz J; Frutos-Vivar F; Thille AW; Peñuelas Ó; Aguilar-Rivilla E; Muriel A; Rodríguez-Barbero JM; Jaramillo C; Nin N; Esteban A J Crit Care; 2020 Dec; 60():6-9. PubMed ID: 32731104 [TBL] [Abstract][Full Text] [Related]
20. Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents? Karhade AV; Oosterhoff JHF; Groot OQ; Agaronnik N; Ehresman J; Bongers MER; Jaarsma RL; Poonnoose SI; Sciubba DM; Tobert DG; Doornberg JN; Schwab JH Clin Orthop Relat Res; 2022 Sep; 480(9):1766-1775. PubMed ID: 35412473 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]