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http://dx.doi.org/10.1017/ice.2020.149 | DOI Listing |
BMC Med Educ
November 2024
Department of Cardiology, The First Hospital of China Medical University, Shenyang, China.
Background: The COVID-19 pandemic has brought about profound transformations in nearly all aspects of life, leaving its impact on the global community as a whole. Nowhere has this transformation been more pronounced than in the sphere of education, including medical education. Healthcare professionals and educators faced the daunting task of preparing the next generation of practicing physicians amid the ongoing public health crisis.
View Article and Find Full Text PDFNiger J Clin Pract
August 2024
Department of Internal Medicine, Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Ebonyi State, Nigeria.
Cardiovascular diseases are the leading cause of death globally. As cardiovascular risk factors continuously rise to pandemic levels, there is intense pressure worldwide to improve cardiac care in preventive cardiology, cardio-diagnostics, therapeutics, and interventional cardiology. Artificial intelligence (AI), an advanced branch of computer science has ushered in the fourth industrial revolution with myriad opportunities in healthcare including cardiology.
View Article and Find Full Text PDFNat Comput Sci
June 2024
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.
Large-scale GPS location datasets hold immense potential for measuring human mobility and interpersonal contact, both of which are essential for data-driven epidemiology. However, despite their potential and widespread adoption during the COVID-19 pandemic, there are several challenges with these data that raise concerns regarding the validity and robustness of its applications. Here we outline two types of challenges-some related to accessing and processing these data, and some related to data quality-and propose several research directions to address them moving forward.
View Article and Find Full Text PDFBackground: Coronavirus Disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus type 2, which is characterized by high infectiousness and diverse clinical manifestations. They are more likely to become critical in people who have underlying diseases or are immunocompromised. In the daunting task of treating patients with COVID-19, those with comorbid fungal infections are susceptible to underdiagnosis or misdiagnosis, which can ultimately lead to increased morbidity and mortality in this group of patients.
View Article and Find Full Text PDFJMIR Form Res
June 2024
Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Background: During the pandemic, patients with dementia were identified as a vulnerable population. X (formerly Twitter) became an important source of information for people seeking updates on COVID-19, and, therefore, identifying posts (formerly tweets) relevant to dementia can be an important support for patients with dementia and their caregivers. However, mining and coding relevant posts can be daunting due to the sheer volume and high percentage of irrelevant posts.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!