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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Baskı/Yayın Bilgisi: MDPI - Multidisciplinary Digital Publishing Institute 2024
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Online Erişim:ONIX_20240514_9783725803675_250
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collection Directory of Open Access Books
description 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 delivery. It holds the potential to have profound impacts on contemporary healthcare challenges. By leveraging AI, we can uncover patterns within vast clinical datasets and develop sophisticated computational reasoning methods that support human decision making. This Special Issue endeavours to spotlight the cutting-edge developments of AI in the healthcare and medical fields, and it proudly features twelve manuscripts encompassing a diverse array of original research and review articles. The collection of articles span from theoretical frameworks to practical applications, addressing everything from diagnosis and treatment to healthcare management and public health.
format Online
id doab-20.500.12854ir-137652
institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1376522024-05-14T13:56:51Z Advances in AI for Health and Medical Applications Liu, Sidong Olea, Cristián Castillo Berkovsky, Shlomo 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 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 delivery. It holds the potential to have profound impacts on contemporary healthcare challenges. By leveraging AI, we can uncover patterns within vast clinical datasets and develop sophisticated computational reasoning methods that support human decision making. This Special Issue endeavours to spotlight the cutting-edge developments of AI in the healthcare and medical fields, and it proudly features twelve manuscripts encompassing a diverse array of original research and review articles. The collection of articles span from theoretical frameworks to practical applications, addressing everything from diagnosis and treatment to healthcare management and public health. 2024-05-14T13:56:46Z 2024-05-14T13:56:46Z 2024 book ONIX_20240514_9783725803675_250 9783725803675 9783725803682 https://directory.doabooks.org/handle/20.500.12854/137652 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8851 https://mdpi.com/books/pdfview/book/8851 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0368-2 10.3390/books978-3-7258-0368-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725803675 9783725803682 214 open access
spellingShingle 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
Advances in AI for Health and Medical Applications
title Advances in AI for Health and Medical Applications
title_full Advances in AI for Health and Medical Applications
title_fullStr Advances in AI for Health and Medical Applications
title_full_unstemmed Advances in AI for Health and Medical Applications
title_short Advances in AI for Health and Medical Applications
title_sort advances in ai for health and medical applications
topic 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
topic_facet 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
url ONIX_20240514_9783725803675_250