Digital transformation in toxicology: improving communication and efficiency in risk assessment

AV Singh, G Bansod, M Mahajan, P Dietrich… - ACS …, 2023 - ACS Publications
Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial
intelligence (AI), and machine learning enabling better record-keeping, data analysis, and …

Integrated Green Lean Six Sigma-Industry 4.0 approach to combat COVID-19: from literature review to framework development

MS Kaswan, R Rathi, J Antony, J Cross… - International Journal of …, 2023 - emerald.com
Purpose The coronavirus (COVID-19) pandemic has led to a surge in demand for health-
care facilities, medicines, vaccines and other health-care items. The purpose of this study is …

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic

S Balasubramanian, V Shukla, N Islam… - … Journal of Production …, 2023 - Taylor & Francis
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …

Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations

Q Rafique, A Rehman, MS Afghan, HM Ahmad… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …

Boosted federated learning based on improved Particle Swarm Optimization for healthcare IoT devices

EH Houssein, A Sayed - Computers in Biology and Medicine, 2023 - Elsevier
As healthcare data becomes increasingly available from various sources, including clinical
institutions, patients, insurance companies, and pharmaceutical industries, machine …

Deep learning approaches in histopathology

AA Ahmed, M Abouzid, E Kaczmarek - Cancers, 2022 - mdpi.com
Simple Summary Artificial intelligence techniques have changed the traditional way of
diagnosis. The physicians' consultation decisions can now be supported with a particular …

[HTML][HTML] Integrating Artificial Intelligence into Telemedicine: Revolutionizing Healthcare Delivery

T Rezaei, PJ Khouzani, SJ Khouzani, AM Fard… - Kindle, 2023 - preferpub.org
Abstract Integrating Artificial Intelligence (AI) into telemedicine has emerged as a
groundbreaking approach, revolutionizing the delivery of healthcare services. AI, with its …

A rapid review of machine learning approaches for telemedicine in the scope of COVID-19

LC Schünke, B Mello, CA da Costa, RS Antunes… - Artificial Intelligence in …, 2022 - Elsevier
The COVID-19 pandemic has rapidly spread around the world. The rapid transmission of the
virus is a threat that hinders the ability to contain the disease propagation. The pandemic …

Attitudes toward receiving COVID-19 booster dose in the Middle East and North Africa (MENA) region: a cross-sectional study of 3041 fully vaccinated participants

M Abouzid, AA Ahmed, DM El-Sherif, WB Alonazi… - Vaccines, 2022 - mdpi.com
COVID-19 vaccines are crucial to control the pandemic and avoid COVID-19 severe
infections. The rapid evolution of COVID-19 variants such as B. 1.1. 529 is alarming …

A review of converging technologies in eHealth pertaining to artificial intelligence

IA Pap, S Oniga - International journal of environmental research and …, 2022 - mdpi.com
Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare
issues have been exacerbated, highlighting the paramount need to provide both reliable …