Artificial Intelligence in Healthcare: Current State and Future Perspectives

Artificial intelligence (AI), which is the simulation of human intelligence processes by machines, is having a growing impact on healthcare. Via AI, researchers can provide new approaches to merge, analyze, and process complex “big data” and gain more actionable insights, understanding, and knowledg...

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Detalhes bibliográficos
Autor Corporativo: Hulsen, Tim
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2024
Assuntos:
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
artificial intelligence
machine learning
natural language processing
chatbot
radiotherapy
Internet of Things
healthcare
deep learning
primary care
polychronic conditions
predictive analytics
care management interventions
patient care outcomes and modeling
decision support system design and evaluation
XAI
AI
explainable
explainability
data science
big data
medicine
ChatGPT
pathology
histology
AutoML
cardiovascular disease
coronary artery disease
diagnosis
heart disease
prediction
AutoGluon
AutoKeras
PyCaret
binaural beats
EEG signals
wavelet transform
flower pollination optimization algorithm
deep convolutional neural network
3D printing
face scan
CBCT
facial analysis
treatment evaluation
treatment planning
colon cancer
histological diagnosis
transformer networks
dataset
Alzheimer’s disease
image classification
transfer learning
convolutional neural networks
graph convolutional networks
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Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/139234
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