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Advances in AI for Health and Medical Applications

The past decade has witnessed an explosive growth in the development and use of artificial intelligence (AI) across diverse fields; healthcare is no exception. In fact, AI is at the forefront of driving pivotal changes in the healthcare sector, opening up innovative and enhanced methods of care deli...

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Збережено в:
Формат: Online
Мова:Англійська
Опубліковано: MDPI - Multidisciplinary Digital Publishing Institute 2024
Предмети:
colon cancer
deep learning
detection
classification
localization
CNN
autoencoders
chest CT
COVID-19
severity assessment
progression prediction
U-Net
RNN
machine learning
identification
HIV
e-Clinical assistance
outcome prediction
multi-modal medical image
image classification
brain tumor
AI-powered behavioral change support systems
motivation
computational modeling
behavior change techniques
AI in health
pervasive health system
affective
depression screening
digital phenotype
emotion
passive sensing
wavelet transforms
wearable devices
emergency department
temperature
older adult
Hong Kong
fuzzy knowledge graph
FKG-Pairs
disease diagnosis
preeclampsia
decision making
semantic segmentation
multi-class
3D image stacks
region of interest
Dice score
Unet
CT images
overfitting
diabetes mellitus
survey
feature selection
feature importance
public health
hospital
patient
community
artificial intelligence
n/a
thema EDItEUR::U Computing and Information Technology::UY Computer science
Онлайн доступ:ONIX_20240514_9783725803675_250
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ONIX_20240514_9783725803675_250

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