AIMC Topic: Italy

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How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.

International journal of environmental research and public health Oct 4, 2020
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predi...
Humans Italy Patient Compliance Coronavirus Infections Communicable Disease Control Betacoronavirus Pneumonia, Viral Machine Learning Pandemics COVID-19 Algorithms SARS-CoV-2
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Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.

International journal of environmental research and public health Sep 22, 2020
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what...
Humans Pandemics COVID-19 Deep Learning Italy Coronavirus Infections Datasets as Topic Radiography, Thoracic Pneumonia, Viral
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
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.
Intensive Care Units Female Coronary Artery Disease SARS-CoV-2 Sex Factors Artificial Intelligence Hospitalization Pulmonary Disease, Chronic Obstructive Proportional Hazards Models Aged COVID-19 Male Radiography, Thoracic Prognosis Middle Aged Mortality Retrospective Studies Comorbidity Tomography, X-Ray Computed Severity of Illness Index Age Factors Deep Learning Radiography Emergency Service, Hospital Humans Italy Neurodegenerative Diseases
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Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

BMC bioinformatics Aug 21, 2020
BACKGROUND: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine L...
Area Under Curve Italy Urinary Tract Infections Models, Biological Aged Humans Male Middle Aged Drug Resistance, Multiple, Bacterial Neural Networks, Computer ROC Curve Machine Learning Support Vector Machine Algorithms Female
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Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
Predictive Value of Tests Triage Area Under Curve Italy Coronavirus Infections COVID-19 Testing Cohort Studies Hospital Mortality ROC Curve Decision Support Systems, Clinical Age Factors Pneumonia, Viral Sex Factors Survival Analysis Internationality Belgium Clinical Laboratory Techniques Retrospective Studies Female Reproducibility of Results Hospitalization Aged Adult Male Middle Aged Risk Assessment Severity of Illness Index China Humans Machine Learning Pandemics COVID-19
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Personalized machine learning approach to predict candidemia in medical wards.

Infection Aug 1, 2020
PURPOSE: Candidemia is a highly lethal infection; several scores have been developed to assist the diagnosis process and recently different models have been proposed. Aim of this work was to assess predictive performance of a Random Forest (RF) algor...
Candidemia Middle Aged Hospitals Italy Early Diagnosis Diagnostic Techniques and Procedures Humans Machine Learning Algorithms Female Aged Aged, 80 and over Male
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Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients.

Environmental science and pollution research international Jul 22, 2020
As the whole world is witnessing what novel coronavirus (COVID-19) can do to the mankind, it presents several unique features also. In the absence of specific vaccine for COVID-19, it is essential to detect the disease at an early stage and isolate a...
Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2 China India Italy Coronavirus Infections Moscow Betacoronavirus Pneumonia, Viral Humans Machine Learning
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Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists.

Journal of medical Internet research Jun 22, 2020
Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are no...
Diabetes Mellitus Italy Association Machine Learning Physicians Precision Medicine Humans Clinical Decision-Making Big Data Artificial Intelligence
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Can robotic gait rehabilitation plus Virtual Reality affect cognitive and behavioural outcomes in patients with chronic stroke? A randomized controlled trial involving three different protocols.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 13, 2020
BACKGROUND: The rehabilitation of cognitive and behavioral abnormalities in individuals with stroke is essential for promoting patient's recovery and autonomy. The aim of our study is to evaluate the effects of robotic neurorehabilitation using Lokom...
Recovery of Function Chronic Disease Robotics Disability Evaluation Humans Stroke Italy Quality of Life Affect Female Gait Time Factors Virtual Reality Exposure Therapy Adult Exercise Therapy Cognition Stroke Rehabilitation Mental Health Attention Treatment Outcome Executive Function Male Activities of Daily Living Health Status Middle Aged
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Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications.

International journal of environmental research and public health May 25, 2020
Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmenta...
Italy Algorithms Coronavirus Infections Humans Climate Temperature Neural Networks, Computer Betacoronavirus Wind Artificial Intelligence Pneumonia, Viral SARS-CoV-2 Pandemics Cities COVID-19
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