Automated Detection of Pediatric Pneumonia via Clinically Driven AI Analysis of Lung Ultrasound.

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Bibliographic Details
Title: Automated Detection of Pediatric Pneumonia via Clinically Driven AI Analysis of Lung Ultrasound.
Authors: Mohamed MK; Department of Radiology, Children's Hospital of Philadelphia, Roberts Center for Pediatric Research., Sultan LR; Department of Radiology, Children's Hospital of Philadelphia, Roberts Center for Pediatric Research., Venkatakkrishna SSB; Department of Radiology, Children's Hospital of Philadelphia, Roberts Center for Pediatric Research., Cary TW; Department of Radiology, University of Pennsylvania, Philadelphia, PA., Workman L; Department of Pediatrics and Child Health, Red Cross War Memorial Children's Hospital and South African Medical Research Council, University of Cape Town, Cape Town, South Africa., Otero H; Department of Radiology, Children's Hospital of Philadelphia, Roberts Center for Pediatric Research., Zar HJ; Department of Paediatrics and Child Health, Red Cross Children's Hospital.; MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa., Sehgal CM; Department of Radiology, University of Pennsylvania, Philadelphia, PA., Andronikou S; Department of Radiology, Children's Hospital of Philadelphia, Roberts Center for Pediatric Research.
Source: Ultrasound quarterly [Ultrasound Q] 2026 Apr 27; Vol. 42 (2). Date of Electronic Publication: 2026 Apr 27 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8809459 Publication Model: eCollection Cited Medium: Internet ISSN: 1536-0253 (Electronic) Linking ISSN: 08948771 NLM ISO Abbreviation: Ultrasound Q Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1536-0253
DOI:10.1097/RUQ.0000000000000740