Initial development of machine learning models and feedback collection from healthcare professionals

[Edward-H26]

• Successfully integrated machine learning models with several leading radiology imaging software systems, speeding up the process for detecting abnormalities in mammograms.
• Established a protocol for these Machine Learning models based on real-world performance data so that these Machine Learning models can adapt over time to new diagnostic challenges.
• Set up a feedback system with healthcare professionals using these Machine Learning models.
• Conducted interdisciplinary forums that focuses on the use of Machine Learning models in clinical settings.