John Kang
University of Washington Medical Center
Machine learningRadiobiologyActinInternal medicineRadiologyProtein filamentCytoskeletonOncologyArtificial intelligenceRadiogenomicsBiological dataRadiosensitivityConfined spaceMEDLINERadiation oncologyActin cytoskeletonNormal tissueComputer scienceRadiation therapyMedicineBiomarker (medicine)BiologyCell biology
26Publications
8H-index
256Citations
Publications 26
Newest
#3John Kang (University of Washington Medical Center)H-Index: 8
#3John Kang (University of Washington Medical Center)
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#1John Kang (URMC: University of Rochester Medical Center)H-Index: 8
#2Reid F. Thompson (OHSU: Oregon Health & Science University)H-Index: 23
Last. Issam El Naqa (UM: University of Michigan)H-Index: 58
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Abstract Artificial intelligence (AI) is about to touch every aspect of radiotherapy from consultation, treatment planning, quality assurance, therapy delivery, to outcomes modeling. There is an urgent need to train radiation oncologists and medical physicists in data science to help shepherd AI solutions into clinical practice. Poorly trained personnel may do more harm than good when attempting to apply rapidly developing and complex technologies. As the amount of AI research expands in our fie...
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#1John Kang (UW: University of Washington)H-Index: 8
#2Olivier Morin (USF: University of San Francisco)H-Index: 24
Last. Julian C. Hong (USF: University of San Francisco)H-Index: 15
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1 CitationsSource
#1Anshu K. Jain (FDA: Food and Drug Administration)
#2Sanjay Aneja (Yale University)H-Index: 12
Last. Kevin CamphausenH-Index: 60
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#1John Kang (URMC: University of Rochester Medical Center)H-Index: 8
#2James Coates (University of Oxford)H-Index: 8
Last. Sarah L. Kerns (URMC: University of Rochester Medical Center)H-Index: 27
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: Machine learning (ML) provides a broad framework for addressing high-dimensional prediction problems in classification and regression. While ML is often applied for imaging problems in medical physics, there are many efforts to apply these principles to biological data toward questions of radiation biology. Here, we provide a review of radiogenomics modeling frameworks and efforts toward genomically guided radiotherapy. We first discuss medical oncology efforts to develop precision biomarkers....
5 CitationsSource
#1John Kang (UR: University of Rochester)
#1John Kang (URMC: University of Rochester Medical Center)H-Index: 8
Last. Charles R. Thomas (OHSU: Oregon Health & Science University)H-Index: 65
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1 CitationsSource
#1Michael T. Milano (URMC: University of Rochester Medical Center)H-Index: 40
#2Alina MihaiH-Index: 6
Last. Feng-Ming Spring KongH-Index: 24
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AbstractIntroduction: Lung dosimetric constraints with stereotactic body/ablative radiotherapy (SBRT/SABR) for multiple lung lesions are not well-characterized in published literature. Classically,...
2 CitationsSource
#1John Kang (URMC: University of Rochester Medical Center)H-Index: 8
#2Reid F. ThompsonH-Index: 1
Last. Issam El Naqa (UM: University of Michigan)H-Index: 58
view all 8 authors...
Artificial intelligence (AI) is about to touch every aspect of radiotherapy from consultation, treatment planning, quality assurance, therapy delivery, to outcomes reporting. There is an urgent need to train radiation oncologists and medical physicists in data science to help shepherd artificial intelligence solutions into clinical practice. Poorly-trained personnel may do more harm than good when attempting to apply rapidly-developing and complex technologies. As the amount of AI research expan...
Source
#1John Kang (UR: University of Rochester)H-Index: 8
#2Reid F. ThompsonH-Index: 1
Last. Issam El Naqa (UM: University of Michigan)H-Index: 58
view all 8 authors...
Artificial intelligence (AI) is about to touch every aspect of radiotherapy from consultation, treatment planning, quality assurance, therapy delivery, to outcomes modeling. There is an urgent need to train radiation oncologists and medical physicists in data science to help shepherd AI solutions into clinical practice. Poorly trained personnel may do more harm than good when attempting to apply rapidly developing and complex technologies. As the amount of AI research expands in our field, the r...
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