[The organisation of outpatient medical and nursing clinics for the follow-up of patients after hospitalization for a myocardial infarction or heart failure].

Unlabelled: . The organisation of outpatient medical and nursing clinics for the follow-up of patients after hospitalization for a myocardial infarction or heart failure.

Introduction: Guidelines suggest careful monitoring of patients after acute heart failure (AHF) or acute myocardial infarction (AMI).

Analysis and Classification of Event-Related Potentials During Image Observation.

In the field of cognitive neuroscience, researchers have conducted extensive studies on object categorization using Event-Related Potential (ERP) analysis, specifically by analyzing electroencephalographic (EEG) response signals triggered by visual stimuli. The most common approach for visual ERP analysis is to use a low presentation rate of images and an active task where participants actively discriminate between target and non-target images. However, researchers are also interested in understanding how the human brain processes visual information in real-world scenarios.

Towards an Informed CNN for Bone SR-microCT Image Classification with an Unsupervised Patched-based Image Clustering.

Bone microscale differences cannot be readily recognizable to humans from Synchrotron Radiation micro-Computed Tomography (SR-microCT) images. Premises are possible with Deep Learning (DL) imaging analysis. Despite this, more attention to high-level features leads models to require help identifying relevant details to support a decision.

Rethinking Theta/Beta Ratio in ADHD through Functional Data Analysis.

ADHD is a neurodevelopmental disorder largely diffused among children and adolescents. The current method of diagnosis is based on agreed clinical literature such as DSM-5, by identifying and evaluating signs of hyperactivity and inattention. Multiple reviews have assessed that EEG is not sufficiently reliable for the diagnosis of ADHD.

Anatomically compliant modes of variations: New tools for brain connectivity.

Anatomical complexity and data dimensionality present major issues when analysing brain connectivity data. The functional and anatomical aspects of the connections taking place in the brain are in fact equally relevant and strongly intertwined. However, due to theoretical challenges and computational issues, their relationship is often overlooked in neuroscience and clinical research.

Telemonitoring: An opportunity in cystic fibrosis lung transplant recipients.

Introduction: Telemedicine has been successfully employed in a wide range of conditions, such as such as chronic lung disease and COVID-19. This study evaluate the role of telemonitoring for the early diagnosis of acute lung allograft dysfunction in cystic fibrosis adults who underwent lung transplant (LuTx). Quality of life and functional level achieved during a 12 months follow up were assessed.

NERONE: The Fast Way to Efficiently Execute Your Deep Learning Algorithm at the Edge.

Semantic segmentation and classification are pivotal in many clinical applications, such as radiation dose quantification and surgery planning. While manually labeling images is highly time-consuming, the advent of Deep Learning (DL) has introduced a valuable alternative. Nowadays, DL models inference is run on Graphics Processing Units (GPUs), which are power-hungry devices, and, therefore, are not the most suited solution in constrained environments where Field Programmable Gate Arrays (FPGAs) become an appealing alternative given their remarkable performance per watt ratio.

Association of ventilator-free days with respiratory physiotherapy in critically ill patients with Coronavirus Disease 2019 (COVID-19) during the first pandemic wave. A propensity score-weighted analysis.

Background: Respiratory physiotherapy is reported as safe and feasible in mechanically ventilated patients with severe Coronavirus Disease (COVID-19) admitted to Intensive Care Unit (ICU), but the short-term benefits remain unclear.

Methods: We performed a retrospective observational study in four ICUs in Northern Italy. All patients with COVID-19 admitted to ICU and under invasive mechanical ventilation (MV) between March 1 and May 30, 2020, were enrolled into the study.

Math Skills: a New Look from Functional Data Analysis.

Mental calculations involve various areas of the brain. The frontal, parietal and temporal lobes of the left hemisphere have a principal role in the completion of this typology of tasks. Their level of activation varies based on the mathematical competence and attentiveness of the subject under examination and the perceived difficulty of the task.

An Optimized U-Net for Unbalanced Multi-Organ Segmentation.

Medical practice is shifting towards the automation and standardization of the most repetitive procedures to speed up the time-to-diagnosis. Semantic segmentation repre-sents a critical stage in identifying a broad spectrum of regions of interest within medical images. Indeed, it identifies relevant objects by attributing to each image pixels a value representing pre-determined classes.

On the Automation of Radiomics-Based Identification and Characterization of NSCLC.

Proper detection and accurate characterization of Non-Small Cell Lung Cancer (NSCLC) are an open challenge in the imaging field. Biomedical imaging is fundamental in lung cancer assessment and offers the possibility of calculating predictive biomarkers impacting patients' management. Within this context, radiomics, which consists of extracting quantitative features from digital images, shows encouraging results for clinical applications, but the sub-optimal standardization of the procedure and the lack of definitive results are still a concern in the field.

Time to active sitting position: One-year findings from a temporary COVID-19 intensive care unit.

Objective: To investigate the association between time to active sitting position and clinical features in people with COVID-19 admitted to intensive care unit (ICU) and referred to physiotherapists.

Method: Prospective study conducted in the largest temporary ICU in Lombardy (Italy) between April 2020 and June 2021. All individuals with COVID-19 who received physiotherapy were included.

Safety and feasibility of physiotherapy in ICU-admitted severe COVID-19 patients: an observational study.

Early physiotherapy could play an important role in the management of severe COVID-19 subjects with consequences of prolonged ICU stay, although its effectiveness is still unclear. Aim of this study is to describe physiotherapy performed in severe COVID-19 patients and to evaluate its safety and feasibility. Consecutive adults with confirmed SARS-CoV-2 infection, admitted to the ICU, needing invasive mechanical ventilation for >24 hours and receiving early physiotherapy, have been enrolled.

A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment.

Left ventricular remodeling is a mechanism common to various cardiovascular diseases affecting myocardial morphology. It can be often overlooked in clinical practice since the parameters routinely employed in the diagnostic process (e.g.

Effects of a cool classroom microclimate on cardiac autonomic control and cognitive performances in undergraduate students.

An inverted U-shape relationship between cognitive performance and indoor temperature with best performance peaking at 21.6 °C was previously described. Little is known on classroom temperature reduction effects on cognitive performances and cardiac autonomic profile, during the cold season.

Physiotherapy approach after lung transplantation in a critically ill COVID-19 patient: a case report.

This study describes the case of an 18-years-old male affected by severe COVID-19, who was receiving bilateral lung transplantation (LT), after 71 days of mechanical ventilation and 55 days of veno-venous extracorporeal membrane oxygenation. From post-operative day 2, early mobilization and physiotherapy treatments were performed. Weaning from mechanical ventilation, the use of non-invasive ventilation and tracheostomy management were included in the treatment.

Muscle strength and functional outcome after prone positioning in COVID-19 ICU survivors.

Objective: To evaluate the muscle strength and functional level of patients discharged from intensive care unit (ICU) in relation to the swimmer position as a nurse intervention during pronation.

Methods: Prospective study conducted in the hub COVID-19 center in Milan (Italy), between March and June 2020. All patients with COVID-19 discharged alive from ICU who received invasive mechanical ventilation were included.

Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis.

Quantitative analysis of Tumor Microenvironment (TME) provides prognostic and predictive information in several human cancers but, with few exceptions, it is not performed in daily clinical practice since it is extremely time-consuming. We recently showed that the morphology of Tumor Associated Macrophages (TAMs) correlates with outcome in patients with Colo-Rectal Liver Metastases (CLM). However, as for other TME components, recognizing and characterizing hundreds of TAMs in a single histopathological slide is unfeasible.

Diagnosis and Initial Investigation of Bronchiectasis.

Bronchiectasis refers to both the name of a disease and a single radiological appearance that may, or may not, be associated with disease. As chronic respiratory disease, bronchiectasis is characterized by a variable range of signs and symptoms that may overlap with other chronic respiratory conditions. The proper identification of bronchiectasis as a disease in both primary and secondary care is of paramount importance.

Physiotherapist involvement in the pandemic era: a Lombardy region survey.

In February 2020 the first COVID-19 case was reported in Italy and afterwards the virus started spreading rapidly, increasing dramatically the number of infected subjects. To face the pandemic outbreak, hospitals converted wards to assure COVID-19 patients' care and adopted measures to reduce virus diffusion. The aim of this study was to determine how many physiotherapists, in the Lombardy region, worked during pandemic, whether they continued their usual practice or were employed in COVID-19 wards and in which tasks they were involved.

Hospital staff practical skills and theoretical knowledge in inhaled aerosol therapy: a single centre cross-sectional observational study.

Inhaled therapy is widely used for treatment of many respiratory disorders. Drug delivery in lungs is dependent on the correct use of aerosol devices and patients' training is vital for a correct therapy administration. Therefore, is very important to assess the skills of professionals involved in training patients to the correct use of inhaler devices.

A faster approach to ECG analysis in emergency situations.

Every day, a substantial number of people need to be treated in emergencies and these situations imply a short timeline. Especially concerning heart abnormalities, the time factor is very important. Therefore, we propose a full-stack system for faster and cheaper ECG taking aimed at paramedics, to enhance Emergency Medical Service (EMS) response time.