[HTML][HTML] Artificial intelligence and computational pathology

M Cui, DY Zhang - Laboratory Investigation, 2021 - Elsevier
Data processing and learning has become a spearhead for the advancement of medicine,
with pathology and laboratory medicine has no exception. The incorporation of scientific …

Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic

RM Elavarasan, R Pugazhendhi - Science of the Total Environment, 2020 - Elsevier
Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …

A survey on deep learning in medicine: Why, how and when?

F Piccialli, V Di Somma, F Giampaolo, S Cuomo… - Information …, 2021 - Elsevier
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

Artificial intelligence in diagnostic pathology

S Shafi, AV Parwani - Diagnostic pathology, 2023 - Springer
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …

Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients

SJ Fritsch, A Blankenheim, A Wahl, P Hetfeld… - Digital …, 2022 - journals.sagepub.com
Objective The attitudes about the usage of artificial intelligence in healthcare are
controversial. Unlike the perception of healthcare professionals, the attitudes of patients and …

The future is coming: artificial intelligence in the treatment of infertility could improve assisted reproduction outcomes—the value of regulatory frameworks

S Medenica, D Zivanovic, L Batkoska, S Marinelli… - Diagnostics, 2022 - mdpi.com
Infertility is a global health issue affecting women and men of reproductive age with
increasing incidence worldwide, in part due to greater awareness and better diagnosis …

[HTML][HTML] An overview of deep learning in medical imaging

A Anaya-Isaza, L Mera-Jiménez… - Informatics in medicine …, 2021 - Elsevier
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

What does the public think about artificial intelligence?—A criticality map to understand bias in the public perception of AI

P Brauner, A Hick, R Philipsen, M Ziefle - Frontiers in Computer …, 2023 - frontiersin.org
Introduction Artificial Intelligence (AI) has become ubiquitous in medicine, business,
manufacturing and transportation, and is entering our personal lives. Public perceptions of …

Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images

A Alhudhaif, K Polat, O Karaman - Expert Systems with Applications, 2021 - Elsevier
X-ray units have become one of the most advantageous candidates for triaging the new
Coronavirus disease COVID-19 infected patients thanks to its relatively low radiation dose …

Recent trends and future direction of dental research in the digital era

T Joda, MM Bornstein, RE Jung, M Ferrari… - International journal of …, 2020 - mdpi.com
The digital transformation in dental medicine, based on electronic health data information, is
recognized as one of the major game-changers of the 21st century to tackle present and …