Recent advances in novel lateral flow technologies for detection of COVID-19

WWW Hsiao, TN Le, DM Pham, HH Ko, HC Chang… - Biosensors, 2021 - mdpi.com
The development of reliable and robust diagnostic tests is one of the most efficient methods
to limit the spread of coronavirus disease 2019 (COVID-19), which is caused by the severe …

Review of machine learning in lung ultrasound in COVID-19 pandemic

J Wang, X Yang, B Zhou, JJ Sohn, J Zhou, JT Jacob… - Journal of …, 2022 - mdpi.com
Ultrasound imaging of the lung has played an important role in managing patients with
COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During …

Global prevalence and drivers of dental students' COVID-19 vaccine hesitancy

A Riad, H Abdulqader, M Morgado, S Domnori… - Vaccines, 2021 - mdpi.com
Background: Acceleration of mass vaccination strategies is the only pathway to overcome
the COVID-19 pandemic. Healthcare professionals and students have a key role in shaping …

Interacting with medical artificial intelligence: Integrating self-responsibility attribution, human–computer trust, and personality

W Huo, G Zheng, J Yan, L Sun, L Han - Computers in Human Behavior, 2022 - Elsevier
Artificial intelligence (AI) is revolutionizing the medical industry. This paper first investigates
the mechanism of patients' medical AI acceptance after experiencing AI service failure from …

Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects

G Bai, C Sun, Z Guo, Y Wang, X Zeng, Y Su… - Seminars in Cancer …, 2023 - Elsevier
Therapeutic antibodies are the largest class of biotherapeutics and have been successful in
treating human diseases. However, the design and discovery of antibody drugs remains …

Transformative potential of AI in Healthcare: definitions, applications, and navigating the ethical Landscape and Public perspectives

M Bekbolatova, J Mayer, CW Ong, M Toma - Healthcare, 2024 - mdpi.com
Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …

Performance of a chest radiograph ai diagnostic tool for covid-19: A prospective observational study

J Sun, L Peng, T Li, D Adila, Z Zaiman… - Radiology: Artificial …, 2022 - pubs.rsna.org
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 …

Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments

A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …

Current technologies for detection of COVID-19: Biosensors, artificial intelligence and internet of medical things (IOMT)

I Irkham, AU Ibrahim, CW Nwekwo, F Al-Turjman… - Sensors, 2022 - mdpi.com
Despite the fact that COVID-19 is no longer a global pandemic due to development and
integration of different technologies for the diagnosis and treatment of the disease …

[HTML][HTML] Best practices and current implementation of emerging smartphone-based (bio) sensors–part 1: data handling and ethics

GMS Ross, Y Zhao, AJ Bosman… - TrAC Trends in …, 2023 - Elsevier
Smartphones are ubiquitous in modern society; in 2021, the number of active subscriptions
surpassed 6 billion. These devices have become more than a means of communication; …