Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection

SH Safiabadi Tali, JJ LeBlanc, Z Sadiq… - Clinical microbiology …, 2021 - journals.asm.org
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …

Deep learning-enabled medical computer vision

A Esteva, K Chou, S Yeung, N Naik, A Madani… - NPJ digital …, 2021 - nature.com
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …

Breast cancer screening for women at higher-than-average risk: updated recommendations from the ACR

DL Monticciolo, MS Newell, L Moy, CS Lee… - Journal of the American …, 2023 - Elsevier
Early detection decreases breast cancer death. The ACR recommends annual screening
beginning at age 40 for women of average risk and earlier and/or more intensive screening …

[HTML][HTML] Demystifying supervised learning in healthcare 4.0: A new reality of transforming diagnostic medicine

S Roy, T Meena, SJ Lim - Diagnostics, 2022 - mdpi.com
The global healthcare sector continues to grow rapidly and is reflected as one of the
fastestgrowing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …

A review in radiomics: making personalized medicine a reality via routine imaging

J Guiot, A Vaidyanathan, L Deprez… - Medicinal research …, 2022 - Wiley Online Library
Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …

An open-source, high-performance tool for automated sleep staging

R Vallat, MP Walker - Elife, 2021 - elifesciences.org
The clinical and societal measurement of human sleep has increased exponentially in
recent years. However, unlike other fields of medical analysis that have become highly …

Green algorithms: quantifying the carbon footprint of computation

L Lannelongue, J Grealey, M Inouye - Advanced science, 2021 - Wiley Online Library
Climate change is profoundly affecting nearly all aspects of life on earth, including human
societies, economies, and health. Various human activities are responsible for significant …

Artificial intelligence: Implications for the future of work

J Howard - American journal of industrial medicine, 2019 - Wiley Online Library
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics,
cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer …

Alzheimer's disease detection using deep learning on neuroimaging: a systematic review

MG Alsubaie, S Luo, K Shaukat - Machine Learning and Knowledge …, 2024 - mdpi.com
Alzheimer's disease (AD) is a pressing global issue, demanding effective diagnostic
approaches. This systematic review surveys the recent literature (2018 onwards) to …

Advanced meta-heuristics, convolutional neural networks, and feature selectors for efficient COVID-19 X-ray chest image classification

ESM El-Kenawy, S Mirjalili, A Ibrahim… - Ieee …, 2021 - ieeexplore.ieee.org
The chest X-ray is considered a significant clinical utility for basic examination and
diagnosis. The human lung area can be affected by various infections, such as bacteria and …