Fetal Brain in a Box: AIRFRAME Model to Classify Brain Abnormalities at US

2026/05/01 by Patrícia Piazza Rafful, Patricia Piazza Rafful · 1 voice
Medicine · #Fetal and Pediatric Neurological Disorders #Neonatal and fetal brain pathology #Prenatal Screening and Diagnostics

paper · doi:10.1148/ryai.260322

crossref issued 2026/05/01 · crossref published 2026/05/01 · crossref published-print 2026/05/01 · openalex publication_date 2026/05/01 · crossref created 2026/05/13 · openalex created_date 2026/05/14 · openalex updated_date 2026/05/14 · crossref deposited 2026/05/18 · crossref indexed 2026/05/18

Citations

• Development of a Deep Learning Algorithm for Posterior Fossa Abnormality Recognition on First-Trimester US Screening Scans: AIRFRAME Study Part 1
• Development of an Integrated Deep Learning Approach for Detecting Fetal Brain Abnormalities at Routine Second Trimester US Scan: A Multicenter Study

Discussions

• Celebrating the second major installment of the AIRFRAME project in new Commentary https://doi.org/10.1148/ryai.260322 #CIR2026 #radiología #radiology [bsky, 2 points, 0 comments]