Antenatal Screening Algorithms

Antenatal Screening Algorithms is a systematic computational or procedural framework belonging to the class of clinical decision-support tools, differentially characterized by its specific application in stratifying gestational diabetes risk through timed, evidence-based integration of maternal demographic, biochemical, and biophysical markers during pregnancy.

83

Publications

5.7K

Citations

524

Authors

298

Institutions

Publications per year

2017–2026

28

Variants

Prenatal Screening Algorithms

Authors

524

  1. PS
    Ponnusamy Saravanan

    University of Warwick, United Kingdom

    2 publications · 71 citations

    2

    h-index

  2. SA
    Sofia Amylidi‐Mohr

    University Hospital of Bern, Switzerland

    2 publications · 54 citations

    2

    h-index

  3. BM
    Beatrice Mosimann

    University of Bern, Switzerland

    2 publications · 54 citations

    2

    h-index

  4. WJ
    Wayne J. Huttly

    Queen Mary University of London, United Kingdom

    2 publications · 159 citations

    2

    h-index

  5. BN
    Barry Nix

    Cardiff University, United Kingdom

    2 publications · 110 citations

    2

    h-index

1–5 of 524

Venues

  1. Ultrasound in Obstetrics and Gynecology

    3 publications · 481 citations

    3

    h-index

  2. American Journal of Obstetrics and Gynecology

    AJOG · 3 publications · 2.1K citations

    3

    h-index

  3. Fetal Diagnosis and Therapy

    3 publications · 254 citations

    3

    h-index

  4. Diabetes & Metabolism

    2 publications · 52 citations

    2

    h-index

  5. Journal of Medical Screening

    2 publications · 44 citations

    2

    h-index

1–5