Automated Translation of Clinical Parameters in Evaluating Acute Radiation Injury: Results From a Mass Casualty Exercise

The USA has experienced one large-scale nuclear incident in its history. Lessons learned during the Three-Mile Island nuclear accident provided government planners with insight into property damage resulting from a low-level release of radiation, and an awareness concerning how to prepare for future occurrences. However, if there is an incident resulting from detonation of an improvised nuclear device or state-sponsored device/weapon, resulting casualties and the need for medical treatment could overwhelm the nation’s public health system. After the Cold War ended, government investments in radiation preparedness declined; however, the attacks on 9/11 led to re-establishment of research programs to plan for the possibility of a nuclear incident. Funding began in earnest in 2004, to address unmet research needs for radiation biomarkers, devices and products to triage and treat potentially large numbers of injured civilians. There are many biodosimetry approaches and medical countermeasures (MCMs) under study and in advanced development, including those to address radiation-induced injuries to organ systems including bone marrow, the gastrointestinal (GI) tract, lungs, skin, vasculature and kidneys. Biomarkers of interest in determining level of radiation exposure and susceptibility of injury include cytogenetic changes, ‘omics’ technologies and other approaches. Four drugs have been approved by the US Food and Drug Administration (FDA) for the treatment of acute radiation syndrome (ARS), with other licensures being sought; however, there are still no cleared devices to identify radiation-exposed individuals in need of treatment. Although many breakthroughs have been made in the efforts to expand availability of medical products, there is still work to be done.

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Automated Translation of Clinical Parameters in Evaluating Acute Radiation Injury: Results From a Mass Casualty Exercise

Abstract: This study clearly demonstrates the need for automated tools to help translate clinical data for effective patient triage after a nuclear or radiological incident. (Disaster Med Public Health Preparedness. 2018;12:569-573).

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Adopting machine translation in the healthcare sector: A methodological multi-criteria review

Adopting machine translation in the healthcare sector: A methodological multi-criteria review

Scientific research and product development in the United States to address injuries from a radiation public health emergency

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