The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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Impact of machine learning-directed on-treatment evaluations on cost of acute care visits: Economic analysis of SHIELD-RT.
 
Divya Natesan
No Relationships to Disclose
 
Samantha M. Thomas
No Relationships to Disclose
 
Eric Eisenstein
No Relationships to Disclose
 
Neville Eclov
Employment - Adrenas (I)
Stock and Other Ownership Interests - Adrenas (I)
Travel, Accommodations, Expenses - Adrenas (I)
 
Nicole Dalal
No Relationships to Disclose
 
Sarah J. Stephens
No Relationships to Disclose
 
Mary Malicki
No Relationships to Disclose
 
Stacey Shields
Stock and Other Ownership Interests - Pfizer
 
Alyssa Cobb
No Relationships to Disclose
 
Yvonne Marie Mowery
Honoraria - Oakstone; UpToDate
Research Funding - Merck (Inst)
 
Donna Niedzwiecki
No Relationships to Disclose
 
Jessica Tenenbaum
No Relationships to Disclose
 
Manisha Palta
Employment - Duke University
Honoraria - Oakstone
Consulting or Advisory Role - Syntactx; VoxelMetrix
Research Funding - Merck (Inst)
Patents, Royalties, Other Intellectual Property - Up to Date- Annual royalties for being a section author
 
Julian C. Hong
Patents, Royalties, Other Intellectual Property - Inventor on pending patent, "Systems and methods for predicting acute care visits during outpatient cancer therapy"