Medical imaging holds biomarkers invisible to the human eye. Flywheel helps you accelerate medical image analysis using AI to automatically find these features in your data and streamline proof-of-concept studies.
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Manually assessing large volumes of medical imaging is time-consuming and prone to error. As the medical imaging data platform for the world’s leading pharmaceutical companies, Flywheel can help you harmonize your imaging, scale annotation, identify cohorts and seamlessly connect to cutting-edge AI tools.
Whether you are looking to apply AI to your imaging data in real-time, score risk factors, or make faster patient selection and classification decisions, using AI to identify imaging biomarkers can increase the possibility of clinical trial success while reducing cost and duration. With Flywheel’s imaging AI platform, researchers save up to 80% of the time normally spent on model development and validation.
See the conversation we had with a medical director about speeding the development of imaging biomarkers and ensuring reproducibility.
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“Flywheel is really crucial for us, not only to run these algorithms, but also to make sure that our data is measured as accurately as possible. We do this through Flywheel’s extension interface; we annotate data, we curate it and we edit it so that the final product is the best possible measurement of the patient’s disease”
Anisha Keshavan PhD, Data Scientist
Leveraging Flywheel, imaging experts were able to aggregate and curate 5 million imaging exams from multiple sites. Now, researchers are developing patient risk stratification models and tracking the effectiveness of AI deployed real-time against new data.
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