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For: 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. 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. Radiol Med 2021;126:29-39. [PMID: 33047295 DOI: 10.1007/s11547-020-01293-w] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Pang B, Li H, Liu Q, Wu P, Xia T, Zhang X, Le W, Li J, Lai L, Ou C, Ma J, Liu S, Zhou F, Wang X, Xie J, Zhang Q, Jiang M, Liu Y, Zeng Q. CT Quantification of COVID-19 Pneumonia at Admission Can Predict Progression to Critical Illness: A Retrospective Multicenter Cohort Study. Front Med (Lausanne) 2021;8:689568. [PMID: 34222293 DOI: 10.3389/fmed.2021.689568] [Reference Citation Analysis]
2 Coppola F, Faggioni L, Gabelloni M, De Vietro F, Mendola V, Cattabriga A, Cocozza MA, Vara G, Piccinino A, Lo Monaco S, Pastore LV, Mottola M, Malavasi S, Bevilacqua A, Neri E, Golfieri R. Human, All Too Human? An All-Around Appraisal of the "Artificial Intelligence Revolution" in Medical Imaging. Front Psychol 2021;12:710982. [PMID: 34650476 DOI: 10.3389/fpsyg.2021.710982] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Liu Q, Pang B, Li H, Zhang B, Liu Y, Lai L, Le W, Li J, Xia T, Zhang X, Ou C, Ma J, Li S, Guo X, Zhang S, Zhang Q, Jiang M, Zeng Q. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia. J Thorac Dis 2021;13:1215-29. [PMID: 33717594 DOI: 10.21037/jtd-20-2580] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Guo Y, Zhang Y, Lyu T, Prosperi M, Wang F, Xu H, Bian J. The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. J Am Med Inform Assoc 2021;28:2050-67. [PMID: 34151987 DOI: 10.1093/jamia/ocab098] [Reference Citation Analysis]
5 Huang R, Meng T, Zha Q, Cheng K, Zhou X, Zheng J, Zhang D, Liu R. The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019. Crit Care 2021;25:234. [PMID: 34217339 DOI: 10.1186/s13054-021-03661-y] [Reference Citation Analysis]
6 Maio F, Tari DU, Granata V, Fusco R, Grassi R, Petrillo A, Pinto F. Breast Cancer Screening during COVID-19 Emergency: Patients and Department Management in a Local Experience. J Pers Med 2021;11:380. [PMID: 34066425 DOI: 10.3390/jpm11050380] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Adamidi ES, Mitsis K, Nikita KS. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review. Comput Struct Biotechnol J 2021;19:2833-50. [PMID: 34025952 DOI: 10.1016/j.csbj.2021.05.010] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
8 Yazdi NA, Ghadery AH, SeyedAlinaghi S, Jafari F, Jafari S, Hasannezad M, Koochak HE, Salehi M, Manshadi SAD, Meidani M, Hajiabdolbaghi M, Ahmadinejad Z, Khalili H, Mehrabi Nejad MM, Abbasian L. Predictors of the chest CT score in COVID-19 patients: a cross-sectional study. Virol J 2021;18:225. [PMID: 34794467 DOI: 10.1186/s12985-021-01699-6] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Borghesi A, Sverzellati N, Polverosi R, Balbi M, Baratella E, Busso M, Calandriello L, Cortese G, Farchione A, Iezzi R, Palmucci S, Pulzato I, Rampinelli C, Romei C, Valentini A, Grassi R, Larici AR. Impact of the COVID-19 pandemic on the selection of chest imaging modalities and reporting systems: a survey of Italian radiologists. Radiol Med 2021. [PMID: 34196908 DOI: 10.1007/s11547-021-01385-1] [Reference Citation Analysis]
10 Gabelloni M, Faggioni L, Cioni D, Mendola V, Falaschi Z, Coppola S, Corradi F, Isirdi A, Brandi N, Coppola F, Granata V, Golfieri R, Grassi R, Neri E. Extracorporeal membrane oxygenation (ECMO) in COVID-19 patients: a pocket guide for radiologists. Radiol med. [DOI: 10.1007/s11547-022-01473-w] [Reference Citation Analysis]
11 Granata V, Fusco R, Setola SV, Galdiero R, Picone C, Izzo F, D'Aniello R, Miele V, Grassi R, Grassi R, Petrillo A. Lymphadenopathy after BNT162b2 Covid-19 Vaccine: Preliminary Ultrasound Findings. Biology (Basel) 2021;10:214. [PMID: 33799618 DOI: 10.3390/biology10030214] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
12 Yan D, Huang Q, Dai C, Ren W, Chen S. Lactic Dehydrogenase to Albumin Ratio Is Associated With the Risk of Stroke-Associated Pneumonia in Patients With Acute Ischemic Stroke. Front Nutr 2021;8:743216. [PMID: 34604286 DOI: 10.3389/fnut.2021.743216] [Reference Citation Analysis]
13 Reginelli A, Nardone V, Giacobbe G, Belfiore MP, Grassi R, Schettino F, Del Canto M, Grassi R, Cappabianca S. Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review. Diagnostics (Basel) 2021;11:1796. [PMID: 34679494 DOI: 10.3390/diagnostics11101796] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]