Machine Learning - eBook (EN)

From Diagnosis to Holistic Patient Care, Machine Learning is Transforming Healthcare

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5 Simplifying Doctor's Workflow Arterys, another groundbreaking firm using AWS to build and host machine learning algorithms in health, is basing its entire platform to help doctors be more efficient with their review and diagnosis of patients' conditions. The company spent years in development of a powerful viewer interface for medical professionals to access medical images, run AI models within a clinical workflow, and do comparative analysis. While the platform has a wide variety of technologies at work through AWS to improve the doctor's workflow (from reporting capabilities to high-resolution imaging), machine learning is improving the diagnostic imaging process. Using Machine Learning to Enhance Diagnosis Process Arterys began exploring diagnostic applications of machine learning with heart defects in newborns and young children. These anomalies were previously detected through ultrasound, which offered only partial views and couldn't calculate blood flow abnormalities. Using AWS Machine Learning and cloud instances, the platform easily handles the massive data crunching needed to create and compare useful pictures of blood flow. Cardiac analysis time has been cut from 40 minutes to six minutes. Arterys then explored applications of machine learning diagnosis to cancer—specifically, lung cancer (the leading type of cancer death). Historically, radiologists would painstakingly look through the scans to try differentiate nodules in the lung from cancerous lesions. With AWS, a new image is compared to hundreds of thousands of similar cases almost instantaneously to identify these nodules leading to greater accuracy and productivity. Professionals can then work within the system to access multiple views from multiple time points, and see likely growth models for nodules over time automatically. More than 100 hospitals and imaging centers around the world now use Arterys seamlessly in their imaging workflow. With thousands of AI models created around the globe, and no easy way to deploy them into the clinical workflow, the Arterys platform enables these to be deployed via a simple web browser. Arterys is building a world where clinical care is data-driven, intelligent, and patient focused. By combining the power of AI and the AWS cloud, everyone around the world can have a chance at early-stage cancer diagnosis and an increased chance of survival." Fabien Beckers, Arterys Founder and CEO "

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