Show simple item record

Advances in AI for Health and Medical Applications

dc.contributor.editorLiu, Sidong
dc.contributor.editorOlea, Cristián Castillo
dc.contributor.editorBerkovsky, Shlomo
dc.date.accessioned2024-05-14T13:56:46Z
dc.date.available2024-05-14T13:56:46Z
dc.date.issued2024
dc.identifierONIX_20240514_9783725803675_250
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/137652
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science
dc.subject.othercolon cancer
dc.subject.otherdeep learning
dc.subject.otherdetection
dc.subject.otherclassification
dc.subject.otherlocalization
dc.subject.otherCNN
dc.subject.otherautoencoders
dc.subject.otherchest CT
dc.subject.otherCOVID-19
dc.subject.otherseverity assessment
dc.subject.otherprogression prediction
dc.subject.otherU-Net
dc.subject.otherRNN
dc.subject.othermachine learning
dc.subject.otheridentification
dc.subject.otherHIV
dc.subject.othere-Clinical assistance
dc.subject.otheroutcome prediction
dc.subject.othermulti-modal medical image
dc.subject.otherimage classification
dc.subject.otherbrain tumor
dc.subject.otherAI-powered behavioral change support systems
dc.subject.othermotivation
dc.subject.othercomputational modeling
dc.subject.otherbehavior change techniques
dc.subject.otherAI in health
dc.subject.otherpervasive health system
dc.subject.otheraffective
dc.subject.otherdepression screening
dc.subject.otherdigital phenotype
dc.subject.otheremotion
dc.subject.otherpassive sensing
dc.subject.otherwavelet transforms
dc.subject.otherwearable devices
dc.subject.otheremergency department
dc.subject.othertemperature
dc.subject.otherolder adult
dc.subject.otherHong Kong
dc.subject.otherfuzzy knowledge graph
dc.subject.otherFKG-Pairs
dc.subject.otherdisease diagnosis
dc.subject.otherpreeclampsia
dc.subject.otherdecision making
dc.subject.othersemantic segmentation
dc.subject.othermulti-class
dc.subject.other3D image stacks
dc.subject.otherregion of interest
dc.subject.otherDice score
dc.subject.otherUnet
dc.subject.otherCT images
dc.subject.otheroverfitting
dc.subject.otherdiabetes mellitus
dc.subject.othersurvey
dc.subject.otherfeature selection
dc.subject.otherfeature importance
dc.subject.otherpublic health
dc.subject.otherhospital
dc.subject.otherpatient
dc.subject.othercommunity
dc.subject.otherartificial intelligence
dc.subject.othern/a
dc.titleAdvances in AI for Health and Medical Applications
dc.typebook
oapen.identifier.doi10.3390/books978-3-7258-0368-2
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783725803675
oapen.relation.isbn9783725803682
oapen.pages214


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/