Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology

Lian Zhang; Zhengliang Liu; Lu Zhang; Zihao Wu; Xiaowei Yu; Jason Holmes; Hongying Feng; Haixing Dai; Xiang Li; Quanzheng Li; William W. Wong; Sujay A. Vora; Dajiang Zhu; Tianming Liu; Wei Liu

doi:10.1002/mp.16965

Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology

Lian Zhang
, Zhengliang Liu
, Lu Zhang
, Zihao Wu
, Xiaowei Yu
, Jason Holmes
, Hongying Feng
, Haixing Dai
, Xiang Li
, Quanzheng Li
, William W. Wong
, Sujay A. Vora
, Dajiang Zhu
, Tianming Liu
, Wei Liu

Mayo Clinic Scottsdale, AZ
University of Georgia
University of Texas at Arlington
Massachusetts General Hospital

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2187-2199
Number of pages	13
Journal	Medical Physics
Volume	51
Issue number	3
DOIs	https://doi.org/10.1002/mp.16965
State	Published - Mar 2024
Externally published	Yes

ASJC Scopus Subject Areas

Biophysics
Radiology Nuclear Medicine and imaging

Keywords

artificial intelligence
clinical delineation
generalizable
promptable
radiation oncology
segment anything model

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10.1002/mp.16965

Cite this

@article{8778df6684b141ab96f1f8a63c6e3cca,

title = "Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology",

keywords = "artificial intelligence, clinical delineation, generalizable, promptable, radiation oncology, segment anything model",

author = "Lian Zhang and Zhengliang Liu and Lu Zhang and Zihao Wu and Xiaowei Yu and Jason Holmes and Hongying Feng and Haixing Dai and Xiang Li and Quanzheng Li and Wong, \{William W.\} and Vora, \{Sujay A.\} and Dajiang Zhu and Tianming Liu and Wei Liu",

year = "2024",

month = mar,

doi = "10.1002/mp.16965",

language = "English",

volume = "51",

pages = "2187--2199",

journal = "Medical Physics",

issn = "0094-2405",

number = "3",

}

TY - JOUR

T1 - Technical note

T2 - Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology

AU - Zhang, Lian

AU - Liu, Zhengliang

AU - Zhang, Lu

AU - Wu, Zihao

AU - Yu, Xiaowei

AU - Holmes, Jason

AU - Feng, Hongying

AU - Dai, Haixing

AU - Li, Xiang

AU - Li, Quanzheng

AU - Wong, William W.

AU - Vora, Sujay A.

AU - Zhu, Dajiang

AU - Liu, Tianming

AU - Liu, Wei

PY - 2024/3

Y1 - 2024/3

KW - artificial intelligence

KW - clinical delineation

KW - generalizable

KW - promptable

KW - radiation oncology

KW - segment anything model

UR - https://www.scopus.com/pages/publications/85184455106

UR - https://www.scopus.com/pages/publications/85184455106#tab=citedBy

U2 - 10.1002/mp.16965

DO - 10.1002/mp.16965

M3 - Article

C2 - 38319676

AN - SCOPUS:85184455106

SN - 0094-2405

VL - 51

SP - 2187

EP - 2199

JO - Medical Physics

JF - Medical Physics

IS - 3

ER -

Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology

ASJC Scopus Subject Areas

Keywords

Access to Document

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