A5032345458- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Diagnosis and Treatment
- Artificial Intelligence in Healthcare and Education
- MRI in cancer diagnosis
- Endometrial and Cervical Cancer Treatments
- Pelvic floor disorders treatments
- Radiology practices and education
- Vascular Anomalies and Treatments
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Prostate Cancer Treatment and Research
- Advanced X-ray and CT Imaging
- Ovarian cancer diagnosis and treatment
- Amoebic Infections and Treatments
- Renal and Vascular Pathologies
- Abdominal vascular conditions and treatments
- COVID-19 diagnosis using AI
- Urologic and reproductive health conditions
- Infectious Diseases and Mycology
- Urological Disorders and Treatments
- Genital Health and Disease
- Tuberculosis Research and Epidemiology
- Mycobacterium research and diagnosis
- Cardiac Imaging and Diagnostics
- Digital Radiography and Breast Imaging
IRCCS Policlinico San Donato
2022-2025
Università degli Studi del Piemonte Orientale “Amedeo Avogadro”
2024-2025
Ospedale Maggiore
2025
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico
2025
University of Cambridge
2023
Addenbrooke's Hospital
2023
San Raffaele University of Rome
2018-2022
Vita-Salute San Raffaele University
2018-2022
Istituti di Ricovero e Cura a Carattere Scientifico
2020-2022
Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele
2020-2022
Abstract Objective To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19. Methods This retrospective single-center study included adult presenting to emergency department (ED) between February 25 and April 9, 2020, SARS-CoV-2 infection confirmed on real-time reverse transcriptase polymerase chain reaction (RT-PCR). Initial CXRs obtained ED presentation were evaluated a deep learning artificial intelligence...
Recently it has been shown that radiomic features of computed tomography (CT) have prognostic information in stage I-III non-small cell lung cancer (NSCLC) patients. We aim to validate this signature IV adenocarcinoma patients undergoing chemotherapy.Two datasets chemo-naive were investigated, dataset 1: 285 with CTs performed a single center; 2: 223 included multicenter clinical trial. The main exclusion criteria EGFR mutation or unknown status and non-delineated primary tumor. Radiomic...
In order to assess the perceptions and expectations of radiology staff about artificial intelligence (AI), we conducted an online survey among ESR members (January-March 2024). It was designed considering that in 2018, updated according recent advancements emerging topics, consisting seven questions regarding demographics professional background 28 AI questions. Of 28,000 contacted, 572 (2%) completed survey. impact predominantly expected on breast oncologic imaging, primarily involving CT,...
Squid, as Onyx, is an ethylene-vinyl alcohol copolymer (EVOH)-based liquid embolic agent developed for neuroradiologic interventions with poor application in abdominal district. Our aim was to evaluate safety, complications, and efficacy of transcatheter embolization using the two available formulations Squid-18 12, 30 patients affected by different diseases. Transcatheter combined other agents, poly vinyl (PVA) particles, coils amplatzer plugs, or alone (type 2 endoleak), performed...
Abstract To explore the peak enhancement time of a hepatocellular carcinoma, pancreas, and kidney cortex its determinants. We obtained curve from perfusion CT scans 11 advanced HCC patients (40 volumes at 1.25 s interval, slab slice 90 mm, bolus 50 ml iodinated contrast agent, 350 g iodine/ml, flow 5 ml/s). Small regions interest were drawn on abdominal aorta, HCC, right kidney, pancreas. The behavior agent in capillary surrounding tissue was further explored with finite element model....
Pulmonary infections caused by Mycobacterium abscessus (MA) have increased over recent decades, affecting individuals with underlying pathologies such as chronic obstructive pulmonary disease, bronchiectasis and, especially, cystic fibrosis. The lack of a representative and standardized model infection in mice has limited steps forward the field MA infection. To overcome this challenge, we refined method agar beads to establish immunocompetent mice. We evaluated bacterial count, lung...
The global uptake of prostate cancer (PCa) active surveillance (AS) is steadily increasing. While prostate-specific antigen density (PSAD) an important baseline predictor PCa progression on AS, there a scarcity recommendations its use in follow-up. In particular, the best way measuring PSAD unclear. One approach would be to gland volume (BGV) as denominator all calculations throughout AS (nonadaptive PSAD, PSADNA), while another remeasure at each new magnetic resonance imaging scan (adaptive...
Breast arterial calcifications (BAC) are common incidental findings on routine mammograms, which have been suggested as a sex-specific biomarker of cardiovascular disease (CVD) risk. Previous work showed the efficacy pretrained convolutional network (CNN), VCG16, for automatic BAC detection. In this study, we further tested method by comparative analysis with other ten CNNs.
Background The aim of the present study is to explore correlation between PET and MRI parameters primary tumour clinicopathological features determine their synergic predictive role in patients with endometrial cancer candidate surgery. Methods Retrospective including 27 preoperative 18F-fluorodeoxyglucose (18F-FDG)-PET scan. following parameters, calculated on tumour, were used for analysis: maximum standardized uptake value (SUVmax), SUVmean, metabolic volume (MTV) total lesion glycolysis...
To retrospectively determine the prevalence and diagnostic performance of capsular enhancement sign (CES) on multiparametric (mp) MRI for detection prostate cancer (PCa) extracapsular extension (ECE).This retrospective study included patients who underwent mpMRI prior to radical prostatectomy. CES was defined as an area asymmetrical early hyperenhancement DCE-MRI adjacent a peripheral zone tumour, matched or exceeded tumour circumferential diameter, with persistent enhancement. Two...
Abstract Artificial intelligence (AI) and its different approaches, from machine learning to deep learning, are not new. We discuss here about the declaration of AI in title those articles dealing with AI. From 1990 2021, while PubMed increased 300 59,596, percentage declaring describes a U-like-shaped curve: 30% early 1990s, less than 13% 2005–2014, again 2020–2021. A similar trend was observed for medical imaging. While initial decline could be due establishment methods, recent increase...
Background: Evaluating AI-based segmentation models primarily relies on quantitative metrics, but it remains unclear if this approach leads to practical, clinically-applicable tools. Purpose: To create a systematic framework for evaluating the performance of using clinically relevant criteria. Materials and Methods: We developed AUGMENT (Assessing Utility seGMENtation Tools), based structured classification main categories error in tasks. evaluate we assembled team 20 clinicians covering...