Current deep CNN architectures can be trained with modest-sized medical data sets to achieve clinically useful performance at detecting and excluding common pathology on chest radiographs.

acceptable reliability and good validity, which could be used to assess angina self-management, and also recommended to be used as an outcome along with quality of life to assess clinical efficacy. The risk-factor domain would be modified in the further study.

Background. There has been a growing interest around the world in developing country-specific scoring algorithms for the EQ-5D. This study systematically reviews all existing EQ-5D valuation studies to highlight their strengths and limitations, explores heterogeneity in observed utilities using meta-regression, and proposes a methodological checklist for reporting EQ-5D valuation studies. Methods.