A systematic review and meta analysis on burnout in physicians during the COVID-19 pandemic: A hidden healthcare crisis

MM Macaron, OA Segun-Omosehin, RH Matar… - Frontiers in …, 2023‏ - frontiersin.org
Objective This systematic review and meta-analysis aims to explore overall prevalence of
burnout among physicians during early and late COVID-19 pandemic and geographical …

Artificial intelligence and Psychiatry: An overview

A Ray, A Bhardwaj, YK Malik, S Singh… - Asian journal of psychiatry, 2022‏ - Elsevier
The burden of mental illness both in world and India is increasing at an alarming rate.
Adding to it, there has been an increase in mental health challenges during covid-19 …

Application of machine learning for cardiovascular disease risk prediction

S Dalal, P Goel, EM Onyema, A Alharbi… - Computational …, 2023‏ - Wiley Online Library
Cardiovascular diseases (CVDs) are a common cause of heart failure globally. The need to
explore possible ways to tackle the disease necessitated this study. The study designed a …

Heart rate variability for medical decision support systems: A review

O Faust, W Hong, HW Loh, S Xu, RS Tan… - Computers in biology …, 2022‏ - Elsevier
Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …

ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects

A Agrawal, A Chauhan, MK Shetty, MD Gupta… - Computers in Biology …, 2022‏ - Elsevier
Objective Studies showed that many COVID-19 survivors develop sub-clinical to clinical
heart damage, even if subjects did not have underlying heart disease before COVID. Since …

Digital physicians: unleashing artificial intelligence in transforming healthcare and exploring the future of modern approaches

BS Shukur, MK Abd Ghani… - … Journal of Artificial …, 2024‏ - mesopotamian.press
Growing global awareness that attention to health care is the basis for maintaining citizens'
quality of life. Health institutions seek to increase interest in electronic care services and …

[HTML][HTML] AI-Enhanced ECG Applications in Cardiology: Comprehensive Insights from the Current Literature with a Focus on COVID-19 and Multiple Cardiovascular …

LC Nechita, A Nechita, AE Voipan, D Voipan, M Debita… - Diagnostics, 2024‏ - mdpi.com
The application of artificial intelligence (AI) in electrocardiography is revolutionizing
cardiology and providing essential insights into the consequences of the COVID-19 …

Presenteeism in front-line physicians involved in COVID-19-related clinical practice: a national survey of employed physician members of the Japan Medical …

T Ishimaru, T Yoshikawa, M Okawara… - … health and preventive …, 2023‏ - jstage.jst.go.jp
Background: The coronavirus disease 2019 (COVID-19) pandemic may have increased the
rate of presenteeism among front-line physicians. Presenteeism is the term used to describe …

Burnout prevalence and contributing factors among healthcare workers during the COVID-19 pandemic: A cross-sectional survey study in an urban community in …

J Kunno, B Supawattanabodee, C Sumanasrethakul… - PLoS …, 2022‏ - journals.plos.org
Background Burnout is associated with an increased risk for severe COVID-19. Few studies
have examined burnout prevalence related to healthcare workers during the pandemic. This …

[HTML][HTML] An Initial Sco** Review of Dysregulation of Mood, Energy, and Social Rhythms Syndrome (DYMERS) Regarding Burnout in Healthcare Professionals …

C Nash - Journal of Clinical Medicine, 2025‏ - mdpi.com
Background/Objectives: Dysregulation of Mood, Energy, and Social Rhythms Syndrome
(DYMERS) characterizes the poor regulation of biological (sleep/waking), social, and …