Precision in the Face of Noise -- Lessons from Kahneman, Siboney, and Sunstein for Radiation Oncology

Fuente: arXiv
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Autori principali: Wahid, Kareem A., Fuller, Clifton D., Fuentes, David
Natura: Preprint
Pubblicazione: 2024
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author Wahid, Kareem A.
Fuller, Clifton D.
Fuentes, David
author_facet Wahid, Kareem A.
Fuller, Clifton D.
Fuentes, David
contents In this manuscript, we draw on the insights from Kahneman, Sibony, and Sunsteins influential nonfiction book Noise: A Flaw in Human Judgment to explore the concept of unwanted variability in judgment (i.e., noise). We introduce key terms and connect these insights to the field of radiation oncology by illustrating how noise contributes to errors in clinically relevant areas such as contouring. Additionally, we propose practical strategies to reduce noise in radiation oncology, such as through judgment aggregation and the use of artificial intelligence tools, building on the principles outlined in the book.
format Preprint
id arxiv_https___arxiv_org_abs_2412_02724
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Precision in the Face of Noise -- Lessons from Kahneman, Siboney, and Sunstein for Radiation Oncology
Wahid, Kareem A.
Fuller, Clifton D.
Fuentes, David
Medical Physics
In this manuscript, we draw on the insights from Kahneman, Sibony, and Sunsteins influential nonfiction book Noise: A Flaw in Human Judgment to explore the concept of unwanted variability in judgment (i.e., noise). We introduce key terms and connect these insights to the field of radiation oncology by illustrating how noise contributes to errors in clinically relevant areas such as contouring. Additionally, we propose practical strategies to reduce noise in radiation oncology, such as through judgment aggregation and the use of artificial intelligence tools, building on the principles outlined in the book.
title Precision in the Face of Noise -- Lessons from Kahneman, Siboney, and Sunstein for Radiation Oncology
topic Medical Physics
url https://arxiv.org/abs/2412.02724