Data Labeling for Healthcare
Healthcare AI at Work
Machine learning is being used within healthcare across a wide range of use cases. From garnering insights in health data to developing precision medicine applications, healthcare applications of machine learning often require a higher standard of model accuracy. Alegion’s powerful software and comprehensive data labeling services help global medical leaders understand what data is relevant and which labeling requirements are most effective in achieving the accuracy needed for healthcare implementation.
Data labeling is being used to to identify human poses in not only sports, but in health settings where human movement is tracked for the diagnosis of health conditions. With Alegion’s annotation tools, skeletal key points in proper alignment can be labeled so that computer vision models can detect anomalies as soon as they occur. Data labeling for healthcare can also be used to label zoomed in body parts so that surgical robots can accurately identify the correct body parts during surgeries.
