Deep learning hybrid model ECG classification using AlexNet and parallel dual branch fusion network model.

Cardiovascular diseases are a cause of death making it crucial to accurately diagnose them. Electrocardiography plays a role in detecting heart issues such as heart attacks, bundle branch blocks and irregular heart rhythms. Manual analysis of ECGs is prone to mistakes and time consuming, underscoring the importance of automated methods.

AI-Driven Real-Time Classification of ECG Signals for Cardiac Monitoring Using i-AlexNet Architecture.

The healthcare industry has evolved with the advent of artificial intelligence (AI), which uses advanced computational methods and algorithms, leading to quicker inspection, forecasting, evaluation and treatment. In the context of healthcare, artificial intelligence (AI) uses sophisticated computational methods to evaluate, decipher and draw conclusions from patient data. AI has the potential to revolutionize the healthcare industry in several ways, including better managerial effectiveness, individualized treatment regimens and diagnostic improvements.

Augmenting Radiological Diagnostics with AI for Tuberculosis and COVID-19 Disease Detection: Deep Learning Detection of Chest Radiographs.

In this research, we introduce a network that can identify pneumonia, COVID-19, and tuberculosis using X-ray images of patients' chests. The study emphasizes tuberculosis, COVID-19, and healthy lung conditions, discussing how advanced neural networks, like VGG16 and ResNet50, can improve the detection of lung issues from images. To prepare the images for the model's input requirements, we enhanced them through data augmentation techniques for training purposes.

The effect of cumulative night shift duties on insomnia, fatigue, and mental health in intensive care unit.

Background: Night shift duties are crucial in the ICU to ensure care continuity, where critically ill patients require round-the-clock care. However, cumulative night shift duties may disturb circadian rhythm, insomnia, fatigue, and depression, and require further elucidation.

Objectives: This study aims to examine the negative consequences of various night shift patterns on insomnia, fatigue, and mental health of ICU Workers.

Knowledge, attitude, and adherence to coronavirus preventive measures among residents of the Kingdom of Saudi Arabia.

Since the SARS-CoV-2 virus, the virus that causes COVID-19, has been spreading globally, variants have emerged and been identified in many countries around the world. This descriptive cross-sectional study aimed to explore the level of knowledge, attitude, and adherence to coronavirus variant preventive measures among residents of the Kingdom of Saudi Arabia. This is a cross-sectional online survey that was conducted between April and November 2020 and involved the residents of the Kingdom of Saudi Arabia.

A nationwide survey of public COPD knowledge and awareness in Saudi Arabia: A population-based survey of 15,000 adults.

Background: There is a concerning lack of representative data on chronic obstructive pulmonary disease (COPD) awareness in Saudi Arabia, and a significant proportion of the population is vulnerable to developing a smoking habit, which is a major risk factor for the disease.

Methods: Population-Based Survey of 15,000 people was conducted to assess the public knowledge and awareness of COPD across Saudi Arabia from October 2022 to March 2023.

Results: A total of 15002 responders completed the survey, with a completion rate of 82%.

Acute upper respiratory infections admissions in England and Wales.

Acute respiratory infections block the bronchial and/or nasal systems' airways. These infections may present in a variety of ways, from minor symptoms like the common cold to more serious illnesses like pneumonia or lung collapse. Acute respiratory infections cause over 1.

Self-Reported Household Waste Recycling and Segregation Practices among Families in Eastern Region of Saudi Arabia: A Cross-Sectional Study.

Background: The reuse and recycling of household waste are correlated with a household's daily activities and commonly depend on sociodemographic factors. In this study, we aimed to assess and probe the level of awareness of waste reuse and recycling, self-reported household waste recycling and segregation practices, and the variables affecting the practices of households in Al-Ahsa, Saudi Arabia.

Methods: We employed a cross-sectional study utilizing the multi-stage random sampling of 279 households and a researcher-structured, online questionnaire in English and Arabic.

E-Cigarette Use among Male Smokers in Al-Ahsa, Kingdom of Saudi Arabia: A Cross-Sectional Study.

E-cigarette use is increasing globally. Recent evidence suggests that e-cigarettes contain harmful substances that could cause adverse health outcomes. This study investigated the prevalence and associated factors of e-cigarette use among male current smokers in Saudi Arabia.

Trend of Admissions Due to Chronic Lower Respiratory Diseases: An Ecological Study.

Objective: This study aimed to examine the trend of hospital admissions related to chronic lower respiratory diseases in England and Wales between 1999 and 2020. Method: This ecological analysis used data that were made accessible to the public and were taken from the Patient Episode Database for Wales (PEDW) and the Hospital Episode Statistics (HES) databases in England for the time span between April 1999 and April 2020. The patients were grouped into four age groups: under 15, 15−59, 60−74, and 75 years and above.

Physiotherapists' Attitudes, and Barriers of Delivering Cardiopulmonary Rehabilitation for Patients with Heart Failure in Saudi Arabia: A Cross-Sectional Study.

Background: Cardiopulmonary rehabilitation (CR) is an effective management approach for heart failure (HF) patients and is delivered by multidisciplinary teams including physiotherapists (PTs). PT attitudes about delivering CR and barriers that might affect referral have not been explored. Thus, this study is aimed to explore PT attitudes about delivering CR programs to patients with HF and identify factors and barriers that might affect referral decisions.

Prevalence and Predictors of Sleep Disturbance, Anxiety and Depression among Patients with Chronic Respiratory Diseases.

Background: Poor sleep quality, depression, and anxiety are common comorbidities among individuals with chronic respiratory diseases (CRDs). However, there has been no work to estimate their prevalence and assess their associations among the CRDs population in Saudi Arabia.

Methods: A cross-sectional study was conducted in primary healthcare centers and included a total of 390 patients.

Correction: Naser et al. Knowledge and Practices during the COVID-19 Outbreak in the Middle East: A Cross-Sectional Study. 2021, , 4699.

The authors would like to make the following corrections about the published paper [...

Knowledge and Practices during the COVID-19 Outbreak in the Middle East: A Cross-Sectional Study.

This study aimed to assess the knowledge and practices of the general public in the Middle Eastern countries during the COVID-19 pandemic. A cross-sectional study using an online survey was conducted between the 19th of March and the 6th of April 2020 in three Middle Eastern countries (Jordan, Saudi Arabia, and Kuwait) to explore the knowledge and practices of the Middle Eastern population regarding COVID-19. A previously developed questionnaire was adapted and used for this study.

Association of vaccine awareness and confidence on the influenza vaccination status of Al Ahsa, Saudi Arabia residents.

While the Saudi Arabian Ministry of Health has made seasonal influenza vaccination available for several years, there remains a scarcity of vaccination coverage reports outside of the capital city. Understanding factors that affect vaccine uptake is important in developing strategies to improve coverage. This analytic cross-sectional study utilized data from 1377 adult residents randomly selected through a multi-stage sampling procedure from the three administrative sectors of Al Ahsa, Saudi Arabia.

Once Daily Versus Overnight and Symptom Versus Physiological Monitoring to Detect Exacerbations of Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial.

Background: Earlier detection of chronic obstructive pulmonary disease (COPD) exacerbations may facilitate more rapid treatment with reduced risk of hospitalization. Changes in pulse oximetry may permit early detection of exacerbations. We hypothesized that overnight pulse oximetry would be superior to once-daily monitoring for the early detection of exacerbations.

Use, utility and methods of telehealth for patients with COPD in England and Wales: a healthcare provider survey.

Introduction: Although the effectiveness of domiciliary monitoring (telehealth) to improve outcomes in chronic obstructive pulmonary disease (COPD) is controversial, it is being used in the National Health Service (NHS).

Aim: To explore the use of teleheath for COPD across England and Wales, to assess the perceptions of clinicians employing telehealth in COPD and to summarise the techniques that have been used by healthcare providers to personalise alarm limits for patients with COPD enrolled in telehealth programmes.

Methods: A cross-sectional survey consisting of 14 questions was sent to 230 COPD community services in England and Wales.

Monitoring of Physiological Parameters to Predict Exacerbations of Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review.

Introduction: The value of monitoring physiological parameters to predict chronic obstructive pulmonary disease (COPD) exacerbations is controversial. A few studies have suggested benefit from domiciliary monitoring of vital signs, and/or lung function but there is no existing systematic review.

Objectives: To conduct a systematic review of the effectiveness of monitoring physiological parameters to predict COPD exacerbation.