Review of current COVID-19 diagnostics and opportunities for further development
Y Mardian, H Kosasih, M Karyana, A Neal… - Frontiers in …, 2021 - frontiersin.org
Diagnostic testing plays a critical role in addressing the coronavirus disease 2019 (COVID-
19) pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV …
19) pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV …
A medical multimodal large language model for future pandemics
Deep neural networks have been integrated into the whole clinical decision procedure
which can improve the efficiency of diagnosis and alleviate the heavy workload of …
which can improve the efficiency of diagnosis and alleviate the heavy workload of …
The clinical information systems response to the COVID-19 pandemic
JJ Reeves, NM Pageler, EC Wick… - Yearbook of medical …, 2021 - thieme-connect.com
Objective: The year 2020 was predominated by the coronavirus disease 2019 (COVID-19)
pandemic. The objective of this article is to review the areas in which clinical information …
pandemic. The objective of this article is to review the areas in which clinical information …
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports
Pre-training lays the foundation for recent successes in radiograph analysis supported by
deep learning. It learns transferable image representations by conducting large-scale fully …
deep learning. It learns transferable image representations by conducting large-scale fully …
Impact of a deep learning sepsis prediction model on quality of care and survival
Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist
with the early recognition of sepsis may improve outcomes, but relatively few studies have …
with the early recognition of sepsis may improve outcomes, but relatively few studies have …
The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection
Y Lee, YS Kim, D Lee, S Jeong, GH Kang, YS Jang… - Scientific reports, 2022 - nature.com
Reducing the time to diagnose COVID-19 helps to manage insufficient isolation-bed
resources and adequately accommodate critically ill patients. There is currently no …
resources and adequately accommodate critically ill patients. There is currently no …
Performance of a chest radiograph ai diagnostic tool for covid-19: A prospective observational study
Purpose To conduct a prospective observational study across 12 US hospitals to evaluate
real-time performance of an interpretable artificial intelligence (AI) model to detect COVID-19 …
real-time performance of an interpretable artificial intelligence (AI) model to detect COVID-19 …
Bending the patient safety curve: how much can AI help?
This paper reviews the current state of patient safety and the application of artificial
intelligence (AI) techniques to patient safety. This paper defines patient safety broadly, not …
intelligence (AI) techniques to patient safety. This paper defines patient safety broadly, not …
Speech as a Biomarker for COVID‐19 Detection Using Machine Learning
The use of speech as a biomedical signal for diagnosing COVID‐19 is investigated using
statistical analysis of speech spectral features and classification algorithms based on …
statistical analysis of speech spectral features and classification algorithms based on …
Artificial intelligence-based detection of pneumonia in chest radiographs
J Becker, JA Decker, C Römmele, M Kahn… - Diagnostics, 2022 - mdpi.com
Artificial intelligence is gaining increasing relevance in the field of radiology. This study
retrospectively evaluates how a commercially available deep learning algorithm can detect …
retrospectively evaluates how a commercially available deep learning algorithm can detect …