Shifting machine learning for healthcare from development to deployment and from models to data
In the past decade, the application of machine learning (ML) to healthcare has helped drive
the automation of physician tasks as well as enhancements in clinical capabilities and …
the automation of physician tasks as well as enhancements in clinical capabilities and …
Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
[HTML][HTML] Accelerating detection of lung pathologies with explainable ultrasound image analysis
Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …
Pancreatic cancer detection on CT scans with deep learning: a nationwide population-based study
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …
abdominal CT. Purpose To develop and to validate a deep learning (DL)–based tool able to …
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
Objective To create and validate a simple and transferable machine learning model from
electronic health record data to accurately predict clinical deterioration in patients with covid …
electronic health record data to accurately predict clinical deterioration in patients with covid …
On the role of artificial intelligence in medical imaging of COVID-19
Although a plethora of research articles on AI methods on COVID-19 medical imaging are
published, their clinical value remains unclear. We conducted the largest systematic review …
published, their clinical value remains unclear. We conducted the largest systematic review …
The promise of AI in detection, diagnosis, and epidemiology for combating COVID-19: beyond the hype
M Abdulkareem, SE Petersen - Frontiers in Artificial Intelligence, 2021 - frontiersin.org
COVID-19 has created enormous suffering, affecting lives, and causing deaths. The ease
with which this type of coronavirus can spread has exposed weaknesses of many healthcare …
with which this type of coronavirus can spread has exposed weaknesses of many healthcare …
Deep learning–based COVID-19 pneumonia classification using chest CT images: model generalizability
D Nguyen, F Kay, J Tan, Y Yan, YS Ng… - Frontiers in Artificial …, 2021 - frontiersin.org
Since the outbreak of the COVID-19 pandemic, worldwide research efforts have focused on
using artificial intelligence (AI) technologies on various medical data of COVID-19–positive …
using artificial intelligence (AI) technologies on various medical data of COVID-19–positive …
Early and fair COVID-19 outcome risk assessment using robust feature selection
Personalized medicine plays an important role in treatment optimization for COVID-19
patient management. Early treatment in patients at high risk of severe complications is vital …
patient management. Early treatment in patients at high risk of severe complications is vital …
Contrastive learning improves critical event prediction in COVID-19 patients
Deep learning (DL) models typically require large-scale, balanced training data to be robust,
generalizable, and effective in the context of healthcare. This has been a major issue for …
generalizable, and effective in the context of healthcare. This has been a major issue for …