[HTML][HTML] Role of artificial intelligence applications in real-life clinical practice: systematic review

J Yin, KY Ngiam, HH Teo - Journal of medical Internet research, 2021 - jmir.org
Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Innovation and possible long-term impact driven by COVID-19: Manufacturing, personal protective equipment and digital technologies

A Zimmerling, X Chen - Technology in Society, 2021 - Elsevier
It is known that discrete events causing extreme societal and economic pressures as well as
technological opportunity are major driving factors of innovation. Due to the presence of both …

[HTML][HTML] Neurosurgery and artificial intelligence

M Mofatteh - AIMS neuroscience, 2021 - ncbi.nlm.nih.gov
Neurosurgeons receive extensive and lengthy training to equip themselves with various
technical skills, and neurosurgery require a great deal of pre-, intra-and postoperative …

[HTML][HTML] Overview of technologies implemented during the first wave of the COVID-19 pandemic: scoping review

A Abd-Alrazaq, A Hassan, I Abuelezz, A Ahmed… - Journal of Medical …, 2021 - jmir.org
Background Technologies have been extensively implemented to provide health care
services for all types of clinical conditions during the COVID-19 pandemic. While several …

External validation of e‐ASPECTS software for interpreting brain CT in stroke

G Mair, P White, PM Bath, KW Muir… - Annals of …, 2022 - Wiley Online Library
Objective The purpose of this study was to test e‐ASPECTS software in patients with stroke.
Marketed as a decision‐support tool, e‐ASPECTS may detect features of ischemia or …

Artificial intelligence in clinical decision support and outcome prediction–applications in stroke

M Yeo, HK Kok, N Kutaiba, J Maingard… - Journal of medical …, 2021 - Wiley Online Library
Artificial intelligence (AI) is making a profound impact in healthcare, with the number of AI
applications in medicine increasing substantially over the past five years. In acute stroke, it is …

Aleatory-aware deep uncertainty quantification for transfer learning

HMD Kabir, S Khanam, F Khozeimeh… - Computers in Biology …, 2022 - Elsevier
The user does not have any idea about the credibility of outcomes from deep neural
networks (DNN) when uncertainty quantification (UQ) is not employed. However, current …

[HTML][HTML] A narrative review of innovative responses during the COVID-19 pandemic in 2020

TC Wu, CTB Ho - International Journal of Public Health, 2022 - ssph-journal.org
Objectives: The COVID-19 pandemic presented unprecedented challenges to healthcare
systems. While existing studies on innovation have typically focused on technology, health …

[HTML][HTML] Improving the digital health of the workforce in the COVID-19 context: an opportunity to future-proof medical training

Y Chen, A Banerjee - Future Healthcare Journal, 2020 - ncbi.nlm.nih.gov
As well as its profound effects on healthcare and wider society, the COVID-19 pandemic will
have far-reaching implications for the future training and professional development of …