Intricacies of human–AI interaction in dynamic decision-making for precision oncology
Intricacies of human–AI interaction in dynamic decision-making for precision oncology
About this item
Full title
Author / Creator
Niraula, Dipesh , Cuneo, Kyle C. , Dinov, Ivo D. , Gonzalez, Brian D. , Jamaluddin, Jamalina B. , Jin, Jionghua Judy , Luo, Yi , Matuszak, Martha M. , Ten Haken, Randall K. , Bryant, Alex K. , Dilling, Thomas J. , Dykstra, Michael P. , Frakes, Jessica M. , Liveringhouse, Casey L. , Miller, Sean R. , Mills, Matthew N. , Palm, Russell F. , Regan, Samuel N. , Rishi, Anupam , Torres-Roca, Javier F. , Yu, Hsiang-Hsuan Michael and El Naqa, Issam
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals’ cancer progression for effective personalized care. However, AI’s imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process,...
Alternative Titles
Full title
Intricacies of human–AI interaction in dynamic decision-making for precision oncology
Authors, Artists and Contributors
Author / Creator
Cuneo, Kyle C.
Dinov, Ivo D.
Gonzalez, Brian D.
Jamaluddin, Jamalina B.
Jin, Jionghua Judy
Luo, Yi
Matuszak, Martha M.
Ten Haken, Randall K.
Bryant, Alex K.
Dilling, Thomas J.
Dykstra, Michael P.
Frakes, Jessica M.
Liveringhouse, Casey L.
Miller, Sean R.
Mills, Matthew N.
Palm, Russell F.
Regan, Samuel N.
Rishi, Anupam
Torres-Roca, Javier F.
Yu, Hsiang-Hsuan Michael
El Naqa, Issam
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c3e69f7c45664848a67f3543fa0641a0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c3e69f7c45664848a67f3543fa0641a0
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-55259-x
