[HTML][HTML] Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
As models based on machine learning continue to be developed for healthcare applications,
greater effort is needed to ensure that these technologies do not reflect or exacerbate any …
greater effort is needed to ensure that these technologies do not reflect or exacerbate any …
Risk of hospital admission with coronavirus disease 2019 in healthcare workers and their households: nationwide linkage cohort study
ASV Shah, R Wood, C Gribben, D Caldwell, J Bishop… - bmj, 2020 - bmj.com
Objective To assess the risk of hospital admission for coronavirus disease 2019 (covid-19)
among patient facing and non-patient facing healthcare workers and their household …
among patient facing and non-patient facing healthcare workers and their household …
[HTML][HTML] An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Abstract Machine learning is becoming increasingly prominent in healthcare. Although its
benefits are clear, growing attention is being given to how these tools may exacerbate …
benefits are clear, growing attention is being given to how these tools may exacerbate …
[HTML][HTML] Real-life clinical sensitivity of SARS-CoV-2 RT-PCR test in symptomatic patients
E Kortela, V Kirjavainen, MJ Ahava, ST Jokiranta… - PloS one, 2021 - journals.plos.org
Background Understanding the false negative rates of SARS-CoV-2 RT-PCR testing is
pivotal for the management of the COVID-19 pandemic and it has implications for patient …
pivotal for the management of the COVID-19 pandemic and it has implications for patient …
Recent updates on liposomal formulations for detection, prevention and treatment of coronavirus disease (COVID-19)
NDFM Faizal, MCIM Amin - International journal of pharmaceutics, 2023 - Elsevier
The unprecedented outbreak of severe acute respiratory syndrome-2 (SARS-CoV-2)
worldwide has rendered it one of the most notorious pandemics ever documented in human …
worldwide has rendered it one of the most notorious pandemics ever documented in human …
[HTML][HTML] A comparative study of multiple neural network for detection of COVID-19 on chest X-ray
Coronavirus disease of 2019 or COVID-19 is a rapidly spreading viral infection that has
affected millions all over the world. With its rapid spread and increasing numbers, it is …
affected millions all over the world. With its rapid spread and increasing numbers, it is …
Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings
Virological testing is central to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-
2) containment, but many settings face severe limitations on testing. Group testing offers a …
2) containment, but many settings face severe limitations on testing. Group testing offers a …
Recent findings and applications of biomedical engineering for COVID-19 diagnosis: a critical review
ABSTRACT COVID-19 is one of the most severe global health crises that humanity has ever
faced. Researchers have restlessly focused on developing solutions for monitoring and …
faced. Researchers have restlessly focused on developing solutions for monitoring and …
[HTML][HTML] Sharing a household with children and risk of COVID-19: a study of over 300 000 adults living in healthcare worker households in Scotland
R Wood, E Thomson, R Galbraith, C Gribben… - Archives of disease in …, 2021 - adc.bmj.com
Objective Children are relatively protected from COVID-19, due to a range of potential
mechanisms. We investigated if contact with children also affords adults a degree of …
mechanisms. We investigated if contact with children also affords adults a degree of …
[HTML][HTML] Generalizability assessment of AI models across hospitals in a low-middle and high income country
J Yang, NT Dung, PN Thach, NT Phong… - Nature …, 2024 - nature.com
The integration of artificial intelligence (AI) into healthcare systems within low-middle income
countries (LMICs) has emerged as a central focus for various initiatives aiming to improve …
countries (LMICs) has emerged as a central focus for various initiatives aiming to improve …