[HTML][HTML] Artificial intelligence and healthcare

A Mittal, AP Afsar, A Tayal… - MAMC Journal of Medical …, 2023 - journals.lww.com
Artificial intelligence (AI) is gradually changing the landscape of medicine. With the advent of
powerful computation and the availability of “big data,” the applications of AI in healthcare …

OPEN ACCESS EDITED BY

J Liu, N Zeng, Q Chen, Y Cheng, Y Wang… - Multi-Omics Analysis …, 2023 - books.google.com
The 2020 global cancer statistics show that gastric cancer (GC) is the fifth most common
cancer, accounting for 5.6% of all cancers worldwide, and has the fourth highest mortality …

Introduction to Integrated Science of Global Epidemics

N Rezaei, A Saghazadeh - Integrated Science of Global Epidemics, 2023 - Springer
An introduction to the content of Integrated Science of Global Epidemics is presented in this
chapter, mainly including the epidemiology of respiratory viral infectious epidemics—with …

[PDF][PDF] UX & ethics matter!: Designing for Human-AI Interaction for individuals lacking AI literacy

F Li - 2024 - research.tue.nl
Artificial intelligence (AI) in general, and machine learning in particular, offer compelling
features and opportunities for designers to innovate and improve user experiences (UX) …

[PDF][PDF] Analysis Of Human Factors In Emerging Infectious Disease Using Artificial Intelligence And Data Science

AMAA Ali - 2024 - researchgate.net
Abstract Applications of Artificial Intelligence (AI) to limit the COVID-19 pandemic have
grown in popularity. A number of AI approaches provide effective strategies to manage …

[PDF][PDF] USE OF ARTIFICIAL INTELLIGENCE IN PUBLIC HEALTH

N Shrestha - Journal of Chitwan Medical College, 2024 - jcmc.com.np
In 1960, the first signs of artificial intelligence (AI) research appeared. Originally, the goal
was to develop machines that could simulate human intelligence. 2 AI applications in …

Barriers to the adoption of artificial intelligence in medical diagnosis: procurement perspective

R Dellink - 2023 - essay.utwente.nl
Using the Technology Acceptance Model and the Theory of Planned Behavior, this study
aims to identify adoption barriers to the implementation of artificial intelligence in medical …

Definition and integration of new insights for improving disease surveillance systems

MA Syed - 2023 - theses.hal.science
Une recrudescence des maladies infectieuses a conduit à une augmentation significative
des menaces sanitaires signalées à partir de diverses sources en ligne. Les systèmes de …

[HTML][HTML] Unknown disease outbreaks detection: a pilot study on feature-based knowledge representation and reasoning model

R Feng, Q Hu, Y Jiang - Frontiers in Public Health, 2021 - frontiersin.org
Background: The outbreak of COVID-19 in 2019 has rapidly swept the world, causing
irreparable loss to human beings. The pandemic has shown that there is still a delay in the …

[HTML][HTML] Evaluation to prevent influenza Evaluation of Control Measures Against Influenza Epidemic by Multiagent Simulation

S Iwanaga - Medical Research Archives, 2023 - esmed.org
Background: At the campus of Japan Coast Academy in January 2017, 37 of 150 students
developed influenza (situation A). Besides, 18 of 56 students at the training ship and 13 of …