[HTML][HTML] Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries

C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …

Artificial intelligence: Machine learning approach for screening large database and drug discovery

PP Parvatikar, S Patil, K Khaparkhuntikar, S Patil… - Antiviral Research, 2023 - Elsevier
Recent research in drug discovery dealing with many faces difficulties, including
development of new drugs during disease outbreak and drug resistance due to rapidly …

Thinking skills don't protect service workers from replacement by artificial intelligence

D Vorobeva, Y El Fassi, D Costa Pinto… - Journal of Service …, 2022 - journals.sagepub.com
Despite the documented benefits of Artificial Intelligence (AI) to the service industry, the
service employees' fear of being replaced by AI continues to be a major concern as we …

[HTML][HTML] Interventional Radiology ex-machina: Impact of Artificial Intelligence on practice

M Gurgitano, SA Angileri, GM Rodà, A Liguori… - La radiologia …, 2021 - Springer
Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process
data, understand its meaning and provide the desired outcome, continuously redefining its …

[HTML][HTML] A bird's-eye view of deep learning in bioimage analysis

E Meijering - Computational and structural biotechnology journal, 2020 - Elsevier
Deep learning of artificial neural networks has become the de facto standard approach to
solving data analysis problems in virtually all fields of science and engineering. Also in …

[HTML][HTML] Challenges in the development, deployment, and regulation of artificial intelligence in anatomic pathology

JY Cheng, JT Abel, UGJ Balis, DS McClintock… - The American Journal of …, 2021 - Elsevier
Significant advances in artificial intelligence (AI), deep learning, and other machine-learning
approaches have been made in recent years, with applications found in almost every …

[HTML][HTML] Challenges and opportunities of digital health in a post-COVID19 world

A Manteghinejad, SH Javanmard - Journal of Research in Medical …, 2021 - journals.lww.com
Digital health as a rapidly growing medical field relies comprehensively on human health
data. Conventionally, the collection of health data is mediated by officially diagnostic …

Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges

S El-Sappagh, JM Alonso-Moral, T Abuhmed… - Artificial Intelligence …, 2023 - Springer
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

[HTML][HTML] Barriers and enablers for artificial intelligence in dental diagnostics: a qualitative study

A Müller, SM Mertens, G Göstemeyer, J Krois… - Journal of Clinical …, 2021 - mdpi.com
The present study aimed to identify barriers and enablers for the implementation of artificial
intelligence (AI) in dental, specifically radiographic, diagnostics. Semi-structured phone …

[HTML][HTML] Artificial intelligence in epilepsy

T Kaur, A Diwakar, P Mirpuri, M Tripathi… - Neurology …, 2021 - journals.lww.com
Background: The study of seizure patterns in electroencephalography (EEG) requires
several years of intensive training. In addition, inadequate training and human error may …