AI Mammography Interpretation Model With Uncertainty Quantifications Can Reduce Radiologist Workload
When predictions were deemed confident, recall decisions were made by the model; otherwise, radiologist double reading was applied. HealthDay News — An artificial intelligence (AI) strategy can reduce ...
Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...
How does Thermo Fisher Scientific's analytical software support the calculation of measurement uncertainty? Wilhelm Sanders: According to DIN EN ISO 17025, it is necessary to calculate the measurement ...
Communication of uncertainty is an important component of the broader practice of human health risk communication. As discussed by Stirling (2010), conveying the uncertainty in the science related to ...
PV yield forecasts are widely considered to be inaccurate, partly because they underestimate uncertainty. Image: Tilt Renewables. The uncertainty in energy yield forecasts is frequently underestimated ...
Every year an increasing number of laboratories using OES (Optical Emission Spectroscopy) spectrometers get accredited according to DIN EN ISO 17025. Compliance with DIN EN ISO 17025 has elevated the ...
FASB Interpretation no. 48 (FIN 48), Accounting for Uncertainty in Income Taxes, sets the threshold for recognizing the benefits of tax return positions in financial statements as “more likely than ...
A Comprehensive Macroeconomic Uncertainty Measure for the Euro Area and its Implications to COVID-19
This paper develops a new data-driven metric to capture MacroEconomic Uncertainty (MEU) in the euro area. The measure is constructed as the conditional volatility of the unforecastable components of a ...
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