Search Results - "Savevski, Victor"
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Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation
Published in European radiology (01-12-2020)“…Objective Lombardy (Italy) was the epicentre of the COVID-19 pandemic in March 2020. The healthcare system suffered from a shortage of ICU beds and oxygenation…”
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Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes
Published in Journal of clinical oncology (10-04-2021)“…Recurrently mutated genes and chromosomal abnormalities have been identified in myelodysplastic syndromes (MDS). We aim to integrate these genomic features…”
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Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence
Published in Emergency radiology (01-04-2022)“…Infection with SARS-CoV-2 has dominated discussion and caused global healthcare and economic crisis over the past 18 months. Coronavirus disease 19 (COVID-19)…”
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Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study
Published in Scientific reports (05-07-2023)“…Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency Department (ED). To address this aim, we developed an…”
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Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
Published in Cells (Basel, Switzerland) (02-04-2021)“…Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or…”
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The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review
Published in Diagnostics (Basel) (22-07-2021)“…Diagnostic imaging is regarded as fundamental in the clinical work-up of patients with a suspected or confirmed COVID-19 infection. Recent progress has been…”
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Generative Adversarial Networks in Brain Imaging: A Narrative Review
Published in Journal of imaging (23-03-2022)“…Artificial intelligence (AI) is expected to have a major effect on radiology as it demonstrated remarkable progress in many clinical tasks, mostly regarding…”
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CT-based radiomics can identify physiological modifications of bone structure related to subjects’ age and sex
Published in Radiologia medica (01-06-2023)“…Purpose Radiomics of vertebral bone structure is a promising technique for identification of osteoporosis. We aimed at assessing the accuracy of machine…”
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An individualized algorithm to predict mortality in COVID-19 pneumonia: a machine learning based study
Published in Archives of medical science (2022)“…Identifying SARS-CoV-2 patients at higher risk of mortality is crucial in the management of a pandemic. Artificial intelligence techniques allow one to analyze…”
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Effectiveness of Streptococcus Pneumoniae Urinary Antigen Testing in Decreasing Mortality of COVID-19 Co-Infected Patients: A Clinical Investigation
Published in Medicina (Kaunas, Lithuania) (29-10-2020)“…Background and objectives: Streptococcus pneumoniae urinary antigen (u-Ag) testing has recently gained attention in the early diagnosis of severe and critical…”
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The long Pentraxin PTX3 serves as an early predictive biomarker of co-infections in COVID-19
Published in EBioMedicine (01-10-2024)Get full text
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Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis
Published in Frontiers in medicine (14-06-2023)“…The impact of a multidisciplinary management of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and psoriasis on systemic glucocorticoids or innovative…”
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Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas
Published in Clinical and translational allergy (01-06-2022)“…Background Comorbidities are common in chronic inflammatory conditions, requiring multidisciplinary treatment approach. Understanding the link between a single…”
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Artificial intelligence in gastroenterology: Where are we heading?
Published in Endoscopy International Open (01-11-2022)“…Abstract Background and study aims Artificial intelligence (AI) is set to impact several fields within gastroenterology. In gastrointestinal endoscopy,…”
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Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review
Published in Healthcare (Basel) (01-08-2022)“…The diagnosis, evaluation, and treatment planning of pancreatic pathologies usually require the combined use of different imaging modalities, mainly, computed…”
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Clinical Outcomes in the Second versus First Pandemic Wave in Italy: Impact of Hospital Changes and Reorganization
Published in Applied sciences (01-10-2021)“…The region of Lombardy was the epicenter of the COVID-19 outbreak in Italy. Emergency Hospital 19 (EH19) was built in the Milan metropolitan area during the…”
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Correspondence on 'Historically controlled comparison of glucocorticoids with or without tocilizumab versus supportive care only in patients with COVID-19-associated cytokine storm syndrome: results of the CHIC study'
Published in Annals of the rheumatic diseases (01-05-2023)Get more information
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Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Published in Gut (01-04-2022)“…Artificial intelligence has been shown to increase adenoma detection rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which extent…”
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Measuring the critical shoulder angle on radiographs: an accurate and repeatable deep learning model
Published in Skeletal radiology (01-09-2022)“…Purpose Since the critical shoulder angle (CSA) is considered a risk factor for shoulder pathology and the intra- and inter-rater variabilities in its…”
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Real-World Validation of Molecular International Prognostic Scoring System for Myelodysplastic Syndromes
Published in Journal of clinical oncology (20-05-2023)“…Myelodysplastic syndromes (MDS) are heterogeneous myeloid neoplasms in which a risk-adapted treatment strategy is needed. Recently, a new clinical-molecular…”
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