Can artificial intelligence lead the next frontier of hemophilia management and care?

This publication has 14 references indexed in Scilit:

• Machine learning estimation of FVIII pharmacokinetic parameters in Chinese children with severe Hemophilia A
  npj Systems Biology and Applications, 2026
• Artificial Intelligence for Predictive Modeling in CRISPR/Cas9 Gene Editing: a Survey of Methods and Design Strategies
  The Journal of Gene Medicine, 2025
• Artificial intelligence in clinical thrombosis and hemostasis: A review
  Research and Practice in Thrombosis and Haemostasis, 2025
• Artificial intelligence–assisted ultrasound imaging in hemophilia: research, development, and evaluation of hemarthrosis and synovitis detection
  Research and Practice in Thrombosis and Haemostasis, 2024
• Application of machine learning approaches for predicting hemophilia A severity
  Journal of Thrombosis and Haemostasis, 2024
• Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A
  Thrombosis Research, 2023
• Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal
  Haemophilia, 2023
• The World Federation of Hemophilia Annual Global Survey 1999‐2018
  Haemophilia, 2020
• Bayesian pharmacokinetic-guided prophylaxis with recombinant factor VIII in severe or moderate haemophilia A
  Thrombosis Research, 2019
• Choosing outcome assessment tools in haemophilia care and research: a multidisciplinary perspective
  Haemophilia, 2016