318 related articles for article (PubMed ID: 33441578)
1. Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.
Ebrahimian S; Homayounieh F; Rockenbach MABC; Putha P; Raj T; Dayan I; Bizzo BC; Buch V; Wu D; Kim K; Li Q; Digumarthy SR; Kalra MK
Sci Rep; 2021 Jan; 11(1):858. PubMed ID: 33441578
[TBL] [Abstract][Full Text] [Related]
2. Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.
Mushtaq J; Pennella R; Lavalle S; Colarieti A; Steidler S; Martinenghi CMA; Palumbo D; Esposito A; Rovere-Querini P; Tresoldi M; Landoni G; Ciceri F; Zangrillo A; De Cobelli F
Eur Radiol; 2021 Mar; 31(3):1770-1779. PubMed ID: 32945968
[TBL] [Abstract][Full Text] [Related]
3. Inter-rater reliability and prognostic value of baseline Radiographic Assessment of Lung Edema (RALE) scores in observational cohort studies of inpatients with COVID-19.
Al-Yousif N; Komanduri S; Qurashi H; Korzhuk A; Lawal HO; Abourizk N; Schaefer C; Mitchell KJ; Dietz CM; Hughes EK; Brandt CS; Fitzgerald GM; Joyce R; Chaudhry AS; Kotok D; Rivera JD; Kim AI; Shettigar S; Lavina A; Girard CE; Gillenwater SR; Hadeh A; Bain W; Shah FA; Bittner M; Lu M; Prendergast N; Evankovich J; Golubykh K; Ramesh N; Jacobs JJ; Kessinger C; Methe B; Lee JS; Morris A; McVerry BJ; Kitsios GD
BMJ Open; 2023 Jan; 13(1):e066626. PubMed ID: 36635036
[TBL] [Abstract][Full Text] [Related]
4. Utility of a Pulmonary Oedema Score for Predicting the Need for Mechanical Ventilation in COVID-19 Patients in a General Hospital.
Torres-Vargas C; Legorreta-Soberanis J; Sánchez-Gervacio BM; Fernández-López PA; Flores-Moreno M; Alvarado-Castro VM; Paredes-Solís S; Andersson N; Cockcroft A
Arch Med Res; 2022 Jun; 53(4):399-406. PubMed ID: 35370011
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.
Grodecki K; Killekar A; Simon J; Lin A; Cadet S; McElhinney P; Chan C; Williams MC; Pressman BD; Julien P; Li D; Chen P; Gaibazzi N; Thakur U; Mancini E; Agalbato C; Munechika J; Matsumoto H; Menè R; Parati G; Cernigliaro F; Nerlekar N; Torlasco C; Pontone G; Maurovich-Horvat P; Slomka PJ; Dey D
Br J Radiol; 2023 Sep; 96(1149):20220180. PubMed ID: 37310152
[TBL] [Abstract][Full Text] [Related]
6. Association of AI quantified COVID-19 chest CT and patient outcome.
Fang X; Kruger U; Homayounieh F; Chao H; Zhang J; Digumarthy SR; Arru CD; Kalra MK; Yan P
Int J Comput Assist Radiol Surg; 2021 Mar; 16(3):435-445. PubMed ID: 33484428
[TBL] [Abstract][Full Text] [Related]
7. The evolution of radiographic edema in ARDS and its association with clinical outcomes: A prospective cohort study in adult patients.
Kotok D; Yang L; Evankovich JW; Bain W; Dunlap DG; Shah F; Zhang Y; Manatakis DV; Benos PV; Barbash IJ; Rapport SF; Lee JS; Morris A; McVerry BJ; Kitsios GD
J Crit Care; 2020 Apr; 56():222-228. PubMed ID: 32028223
[TBL] [Abstract][Full Text] [Related]
8. Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography - a multicenter retrospective cohort study in Japan.
Tanaka H; Maetani T; Chubachi S; Tanabe N; Shiraishi Y; Asakura T; Namkoong H; Shimada T; Azekawa S; Otake S; Nakagawara K; Fukushima T; Watase M; Terai H; Sasaki M; Ueda S; Kato Y; Harada N; Suzuki S; Yoshida S; Tateno H; Yamada Y; Jinzaki M; Hirai T; Okada Y; Koike R; Ishii M; Hasegawa N; Kimura A; Imoto S; Miyano S; Ogawa S; Kanai T; Fukunaga K
Respir Res; 2023 Oct; 24(1):241. PubMed ID: 37798709
[TBL] [Abstract][Full Text] [Related]
9. Radiographic Assessment of Lung Edema (RALE) Scores are Highly Reproducible and Prognostic of Clinical Outcomes for Inpatients with COVID-19.
Al-Yousif N; Komanduri S; Qurashi H; Korzhuk A; Lawal HO; Abourizk N; Schaefer C; Mitchell KJ; Dietz CM; Hughes EK; Brandt CS; Fitzgerald GM; Joyce R; Chaudhry AS; Kotok D; Rivera JD; Kim AI; Shettigar S; Lavina A; Girard CE; Gillenwater SR; Hadeh A; Bain W; Shah FA; Bittner M; Lu M; Prendergast N; Evankovich J; Golubykh K; Ramesh N; Jacobs JJ; Kessinger C; Methé B; Lee JS; Morris A; McVerry BJ; Kitsios GD
medRxiv; 2022 Jun; ():. PubMed ID: 35734089
[TBL] [Abstract][Full Text] [Related]
10. Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis.
Salvatore C; Roberta F; Angela L; Cesare P; Alfredo C; Giuliano G; Giulio L; Giuliana G; Maria RG; Paola BM; Fabrizio U; Roberta G; Beatrice F; Vittorio M
Radiol Med; 2021 Jan; 126(1):29-39. PubMed ID: 33047295
[TBL] [Abstract][Full Text] [Related]
11. Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.
Homayounieh F; Bezerra Cavalcanti Rockenbach MA; Ebrahimian S; Doda Khera R; Bizzo BC; Buch V; Babaei R; Karimi Mobin H; Mohseni I; Mitschke M; Zimmermann M; Durlak F; Rauch F; Digumarthy SR; Kalra MK
J Digit Imaging; 2021 Apr; 34(2):320-329. PubMed ID: 33634416
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic and Prognostic Value of Chest Radiographs for COVID-19 at Presentation.
Kerpel A; Apter S; Nissan N; Houri-Levi E; Klug M; Amit S; Konen E; Marom EM
West J Emerg Med; 2020 Aug; 21(5):1067-1075. PubMed ID: 32970556
[TBL] [Abstract][Full Text] [Related]
13. The Prognostic Capacity of the Radiographic Assessment for Lung Edema Score in Patients With COVID-19 Acute Respiratory Distress Syndrome-An International Multicenter Observational Study.
Valk CMA; Zimatore C; Mazzinari G; Pierrakos C; Sivakorn C; Dechsanga J; Grasso S; Beenen L; Bos LDJ; Paulus F; Schultz MJ; Pisani L
Front Med (Lausanne); 2021; 8():772056. PubMed ID: 35071263
[No Abstract] [Full Text] [Related]
14. Chest Radiograph Scoring Alone or Combined with Other Risk Scores for Predicting Outcomes in COVID-19.
Au-Yong I; Higashi Y; Giannotti E; Fogarty A; Morling JR; Grainge M; Race A; Juurlink I; Simmonds M; Briggs S; Cruikshank S; Hammond-Pears S; West J; Crooks CJ; Card T
Radiology; 2022 Feb; 302(2):460-469. PubMed ID: 34519573
[TBL] [Abstract][Full Text] [Related]
15. Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs.
Li MD; Little BP; Alkasab TK; Mendoza DP; Succi MD; Shepard JO; Lev MH; Kalpathy-Cramer J
Acad Radiol; 2021 Apr; 28(4):572-576. PubMed ID: 33485773
[TBL] [Abstract][Full Text] [Related]
16. Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study.
Sang S; Sun R; Coquet J; Carmichael H; Seto T; Hernandez-Boussard T
J Med Internet Res; 2021 Feb; 23(2):e23026. PubMed ID: 33534724
[TBL] [Abstract][Full Text] [Related]
17. COVID-19 pneumonia chest radiographic severity score: variability assessment among experienced and in-training radiologists and creation of a multireader composite score database for artificial intelligence algorithm development.
van Assen M; Zandehshahvar M; Maleki H; Kiarashi Y; Arleo T; Stillman AE; Filev P; Davarpanah AH; Berkowitz EA; Tigges S; Lee SJ; Vey BL; Adibi A; De Cecco CN
Br J Radiol; 2022 Jun; 95(1134):20211028. PubMed ID: 35451863
[TBL] [Abstract][Full Text] [Related]
18. Early Changes Over Time in the Radiographic Assessment of Lung Edema Score Are Associated With Survival in ARDS.
Jabaudon M; Audard J; Pereira B; Jaber S; Lefrant JY; Blondonnet R; Godet T; Futier E; Lambert C; Bazin JE; Bastarache JA; Constantin JM; Ware LB;
Chest; 2020 Dec; 158(6):2394-2403. PubMed ID: 32659235
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort.
Lee JH; Ahn JS; Chung MJ; Jeong YJ; Kim JH; Lim JK; Kim JY; Kim YJ; Lee JE; Kim EY
Sensors (Basel); 2022 Jul; 22(13):. PubMed ID: 35808502
[TBL] [Abstract][Full Text] [Related]
20. Glycemic status affects the severity of coronavirus disease 2019 in patients with diabetes mellitus: an observational study of CT radiological manifestations using an artificial intelligence algorithm.
Lu X; Cui Z; Pan F; Li L; Li L; Liang B; Yang L; Zheng C
Acta Diabetol; 2021 May; 58(5):575-586. PubMed ID: 33420614
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]