Inferences, Risk Modeling, and Prediction of Health Effects of Ionizing Radiation.

Abstract:

:The combined expertise of radiation epidemiologists and laboratory experimentalists is required to accurately define health risks from exposure to a low/very low radiation dose. Although stochastic risk can be estimated when a known threshold dose is exceeded, risk must be inferred from data transference at sub-threshold doses. The clinician's dilemma is evident when complying with accepted medical practice that is complicated by potential long-term, adverse outcomes. By contrast, radiation protection regulators must make prudent judgments without complete knowledge of the scope and consequences of their actions. Only by combining the strengths of epidemiological and experimental laboratory approaches can accurate predictive modeling be achieved after exposure to a low/very low dose.

journal_name

Health Phys

journal_title

Health physics

authors

Dainiak N

doi

10.1097/HP.0000000000000465

subject

Has Abstract

pub_date

2016-03-01 00:00:00

pages

271-3

issue

3

eissn

0017-9078

issn

1538-5159

pii

00004032-201603000-00008

journal_volume

110

pub_type

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