What happened
The Norwegian Institute of Public Health (FHI) published a health technology assessment of first-trimester screening for preeclampsia on 1 December 2022. Nye metoder, Norway's system for new methods in specialist care, had ordered it. The algorithm combines maternal characteristics, mean arterial pressure, uterine artery Doppler and the PlGF protein in the mother's blood. FHI's full report names it as the Fetal Medicine Foundation's web-based screening algorithm. FHI pooled 16 studies from Asia and Europe. At a fixed specificity of 0.9, the sensitivity for preeclampsia before week 37 was 0.728, with moderate confidence. FHI found that screening with the algorithm probably improves prediction of delivery with preeclampsia before week 37. It estimates that screening, with aspirin for women at high risk, could avoid 173 cases of preterm preeclampsia a year and save the health service about NOK 17 million. FHI found no Norwegian or Scandinavian studies and no data to pool the accuracy of current practice. It traces the algorithm to a competing-risks model developed from data on 58,884 pregnancies and does not call it machine learning.
Sources
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Assessment report, by authors with no tie to the system.
Norwegian Institute of Public Health (FHI). First trimester-screening for the development of preeclampsia with the use of an algorithm: a health technology assessment. English summary page, published 1 December 2022.
We found that screening with an algorithm early in pregnancy: probably improves prediction of the risk of delivery with preeclampsia before week 37 of the pregnancy.
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Assessment report, by authors with no tie to the system.
Folkehelseinstituttet. Første trimester-screening for utvikling av preeklampsi med bruk av algoritme: en fullstendig metodevurdering. Rapport 2022, chapter 'Organisatoriske aspekter'.
Utfylling av den nettverksbasert screeningalgoritmen fra Fetal Medicine Foundation (FMF) utgjør grunnlaget for beregning av risiko for preeklampsi.
Details
AI system
- Workflow
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Screening at weeks 11 to 14 combined maternal characteristics, mean arterial pressure, uterine artery Doppler and PlGF in the mother's blood. Women identified at high risk received low-dose aspirin from weeks 11 to 14 in the trial that FHI used for the effect of prophylaxis.
Money
- Kind of value
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Projected yearly saving for the health service from screening with the algorithm and aspirin prophylaxis
- Amount
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Estimate: ~ NOK 17 million per year
- Recipients and payers
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Norwegian health service
Follow-up
- Conditions for replication
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Aspirin prophylaxis must start before week 16 of pregnancy. Laboratories must analyze PlGF before the early ultrasound. Maternity units must reach the algorithm through their electronic patient records.
Entry details
- Sector
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Healthcare (antenatal screening).
- Purpose
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The Fetal Medicine Foundation built its first-trimester screening algorithm to calculate each pregnant woman's individual risk of preeclampsia from maternal factors and biomarkers.
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Cite this record
Peter H. Vartanian. (2026). FMF screening algorithm probably predicts preterm preeclampsia better (AIBD-1032). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1032.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)