Roberta Gualtierotti: Can Artificial Intelligence Help Detect Early Joint Bleeding in Hemophilia?
Roberta Gualtierotti, Associate Professor of Internal Medicine at University of Milan, shared a post on LinkedIn about a recent article she and her colleagues co-authored, adding:
“Can artificial intelligence help detect early joint bleeding in hemophilia?
Excited to share our new publication on Al-assisted musculoskeletal ultrasound for joint monitoring in hemophilia.
Using a deep-learning computer-aided diagnosis (CAD) system, we developed a model able to automatically detect joint capsule distension in knee ultrasound images.
Study highlights
- 8,634 ultrasound images analyzed
- 158 persons with hemophilia and 66 healthy controls
- 89.2% classification accuracy and 93.9% balanced accuracy compared with expert assessment
These findings support the potential of Al-supported ultrasound analysis to enable earlier recognition of joint bleeding and move toward telemedicine-based monitoring in hemophilia care.”
Sara Arcudi, Consultant Physician at Monzino Cardiology Center, shared this post, adding:
“It is an honor for me to have contributed to this study, the result of a rigorous collaboration between clinicians and computer scientists, which paves the way for the implementation of telemedicine in hemophilia.
Great job Roberta Gualtierotti ”
Title: Artificial Intelligence for Automated Detection of Joint Bleeding via Ultrasound in Hemophilia: Advancing Standardization
Authors: Roberta Gualtierotti, Andrea Giachi, Sara Arcudi, Ada Truma, Chiara Suffritti, Marco Colussi, Matteo Manzoni, Dragan Ahmetovic, Salvatore Alessio Angileri, Giampaolo Carrafiello, Sergio Mascetti, Claudio Bettini, Flora Peyvandi
Read the Full Article on Journal of Thrombosis and Haemostasis.
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