Public Health Decision Making in the Case of the Use of a Nuclear Weapon. [PDF]
Int J Environ Res Public Health, 2022 Długosz-Lisiecka M.
europepmc +1 more source
Intolerable Risk Threshold Recommendations for Artificial Intelligence [PDF]
arXivFrontier AI models -- highly capable foundation models at the cutting edge of AI development -- may pose severe risks to public safety, human rights, economic stability, and societal value in the coming years. These risks could arise from deliberate adversarial misuse, system failures, unintended cascading effects, or simultaneous failures across ...
arxiv
Bringing radiology to patient's home using mobile equipment: A weapon to fight COVID-19 pandemic
, 2020 Moreno Zanardo +2 more
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Introduction to Weapons of Mass Destruction: Radiological, Chemical, and Biological. R. Everett Langford. Hoboken, NJ: Wiley-Interscience; John Wiley & Sons, Inc., 2004, 410 pp., $89.95, hardcover. ISBN 0-471-46560-7. [PDF]
, 2005 Jim B. Pearson
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Focal Spot, Commemorative Issue/Spring 1992 [PDF]
, 1992 https://digitalcommons.wustl.edu/focal_spot_archives/1060/thumbnail ...
core +1 more source
Effective Strategic Planning and Knowledge Management Effects on Organizational Performance Mediated by Dynamic Capability Towards Threats of Chemical, Biological, Radiology, and Nuclear (CBRN) Weapon [PDF]
, 2020 R.A. Nora Lelyana +2 more
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Advancing Nuclear Security:Evaluating Progress and Setting New Goals [PDF]
, 2014 The threat of nuclear and radiological terrorism has not disappeared, though the world has made important progress in reducing these risks. Urgent new steps are needed to build effective and lasting nuclear security worldwide. The nuclear security effort
Bunn, Matthew G. +3 more
core
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training [PDF]
arXivThe integration of artificial intelligence (AI) with radiology marks a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging analysis. However, the distinct complexities of radiologic 2D and 3D radiologic data pose unique challenges that existing models, pre-trained on general non-medical images, fail ...
arxiv