Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers

September 2025 in “ Journal of Ultrasound in Medicine ”

Ximena Wortsman, Manuel Lozano, Francisco Javier Rodríguez‐Gómez, Yessenia Valderrama, Gabriela Ortiz‐Orellana, Luciana Zattar-Ramos, Francisco de Cabo, Eliza Porciuncula Justo Ducati, Rosa Sigrist, Cláudia Borges Fontan Câmara, Juliana Paulos de Rezende, Claudia González, Leonie Schelke, Julia Diva Zavariz, Patricia Barrera, Peter J. Velthuis

hyaluronic acid polymethyl methacrylate calcium hydroxylapatite silicone oil deep learning YOLO architecture ultrasound imaging cosmetic fillers HA PMMA CaHA SO YOLO

Studysummary This study found that AI using YOLOv11 architecture can reliably differentiate between hyaluronic acid and silicone oil cosmetic fillers on ultrasound, achieving high accuracy, whereas identifying calcium hydroxyapatite and polymethylmethacrylate remains less consistent, requiring further improvements.

Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer

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