Publications by authors named "Annalisa Polidori"
The structure of a concentrated solution of NaCl in DO was investigated by in situ high-pressure neutron diffraction with chlorine isotope substitution to give site-specific information on the coordination environment of the chloride ion. A broad range of densities was explored by first increasing the temperature from 323 to 423 K at 0.1 kbar and then increasing the pressure from 0.
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- - The study focused on using AI to help diagnose COVID-19 from chest X-rays by training a model with images from patients with COVID-19, community-acquired pneumonia, and those without either condition, collected in Italian hospitals.
- - The AI system showed strong performance during training and testing, achieving high sensitivity and specificity in identifying COVID-19 compared to both negative subjects and pneumonia cases across several datasets.
- - The findings suggest that this AI-driven diagnostic tool could be effective as a second opinion for medical professionals, especially in settings where different types of pneumonia are present.
Background: We aimed to train and test a deep learning classifier to support the diagnosis of coronavirus disease 2019 (COVID-19) using chest x-ray (CXR) on a cohort of subjects from two hospitals in Lombardy, Italy.
Methods: We used for training and validation an ensemble of ten convolutional neural networks (CNNs) with mainly bedside CXRs of 250 COVID-19 and 250 non-COVID-19 subjects from two hospitals (Centres 1 and 2). We then tested such system on bedside CXRs of an independent group of 110 patients (74 COVID-19, 36 non-COVID-19) from one of the two hospitals.
In this multi-center study, we provide a systematic evaluation of the clinical variability associated with paroxysmal sympathetic hyperactivity (PSH) in patients with acquired brain injury (ABI) to determine how these signs can impact outcomes. A total of 156 ABI patients with a disorder of consciousness (DoC) were admitted to neurorehabilitation subacute units (intensive rehabilitation unit; IRU) and evaluated at baseline (T0), after 4 months from event (T1), and at discharge (T2). The outcome measure was the Glasgow Outcome Scale-Extended, whereas age, sex, etiology, Coma Recovery Scale-Revised (CRS-r), Rancho Los Amigos Scale (RLAS), Early Rehabilitation Barthel Index (ERBI), PSH-Assessment Measure (PSH-AM) scores and other clinical features were considered as predictive factors.
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- The study uses neutron diffraction with selenium isotope substitution to analyze the structure of glassy arsenic selenide (AsSe) samples.
- The results show correlations between arsenic (As) and selenium (Se) atoms, confirming the chemical ordering of the AsSe network aligned with the "8-N" rule.
- However, the presence of As-As bonds disrupts this order as the arsenic content increases, resulting in frozen As-As and Se-Se defect pairs in the glassy structure.
A combination of in situ high-pressure neutron diffraction at pressures up to 17.5(5) GPa and molecular dynamics simulations employing a many-body interatomic potential model is used to investigate the structure of cold-compressed silica glass. The simulations give a good account of the neutron diffraction results and of existing x-ray diffraction results at pressures up to ~60 GPa.
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