| Original language | English (US) |
|---|---|
| Pages (from-to) | 662-663 |
| Number of pages | 2 |
| Journal | JAMA Oncology |
| Volume | 5 |
| Issue number | 5 |
| DOIs |
|
| State | Published - May 2019 |
ASJC Scopus subject areas
- Oncology
- Cancer Research
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The Potential and Pitfalls of Crowdsourced Algorithm Development in Radiation Oncology. / Elhalawani, Hesham; Fuller, Clifton David; Thompson, Reid F.
In: JAMA Oncology, Vol. 5, No. 5, 05.2019, p. 662-663.Research output: Contribution to journal › Comment/debate › peer-review
}
TY - JOUR
T1 - The Potential and Pitfalls of Crowdsourced Algorithm Development in Radiation Oncology
AU - Elhalawani, Hesham
AU - Fuller, Clifton David
AU - Thompson, Reid F.
N1 - Funding Information: grants, personal fees, and non-financial support from Elekta AB, personal fees from Greater Baltimore Medical Center, and personal fees from American Association of Physics in Medicine outside the submitted work; and Dr Fuller is a Andrew Sabin Family Foundation Fellow. Dr Fuller receives funding and salary support from the National Institutes of Health (NIH), including: the National Institute for Dental and Craniofacial Research Award (1R01DE025248-01/R56DE025248-01); a National Science Foundation (NSF), Division of Mathematical Sciences, Joint NIH/NSF Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) Grant (NSF 1557679); the NIH Big Data to Knowledge (BD2K) Program of the National Cancer Institute (NCI) Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science Award (1R01CA214825-01); NCI Early Phase Clinical Trials in Imaging and Image-Guided Interventions Program (1R01CA218148-01); an NIH/NCI Cancer Center Support Grant (CCSG) Pilot Research Program Award from the UT MD Anderson CCSG Radiation Oncology and Cancer Imaging Program (P30CA016672); and an NIH/NCI Head and Neck Specialized Programs of Research Excellence (SPORE) Developmental Research Program Award (P50 CA097007-10). Dr Fuller is Committee Member for the Radiological Society of North America Education and research Foundation, American College of Radiology Data Science Institute, and a Task Group Member for the American Association of Physics in Medicine. Dr Thompson serves on the artificial intelligence advisory board for the American College of Radiology and as chair of the ACR's data science subspecialty panel in oncology. No other disclosures were reported.
PY - 2019/5
Y1 - 2019/5
UR - http://www.scopus.com/inward/record.url?scp=85064484075&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064484075&partnerID=8YFLogxK
U2 - 10.1001/jamaoncol.2019.0157
DO - 10.1001/jamaoncol.2019.0157
M3 - Comment/debate
C2 - 30998812
AN - SCOPUS:85064484075
SN - 2374-2437
VL - 5
SP - 662
EP - 663
JO - JAMA oncology
JF - JAMA oncology
IS - 5
ER -