Diego Raimondo

Datos Biográficos

ID7925896
NOMBREDiego Raimondo
NOMBRESDiego
APELLIDORaimondo
FIRMARAIMONDO D
AFILIACIONESAzienda USL di Bologna
ORCID0000-0002-3235-4378
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
OBRAS COMO AUTOR4
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0

  • Burden of disease scenarios for 204 countries and territories, 2022–2050

    Open AccessStein Emil Vollset, Hazim S Ababneh et al.ARTICLEThe Lancet2024

    BACKGROUND: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternativ…

  • Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021

    Open AccessMichael Brauer, Gregory A Roth et al.ARTICLEThe Lancet2024

    BACKGROUND: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 ri…

  • Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100

    Open AccessNatalia V Bhattacharjee, Austin E Schumacher et al.ARTICLEThe Lancet2024

    BACKGROUND: Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality,…

  • Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis

    Open AccessDiego Raimondo, Antonio Raffone et al.ARTICLEInternational Journal of…2023

    In this preliminary study DL model showed a lower accuracy but a higher specificity in diagnosing adenomyosis on ultrasonographic images compared to intermediate-skilled trainees