Computer vision in healthcare
Use our computer vision models to build customized healthcare solutions that drive better diagnostics and enable smarter patient monitoring through advanced computer vision systems.
Computer vision tasks for healthcare
Object detection
By integrating Vision AI for medical imaging, hospitals can streamline diagnoses. Detect medical instruments, anatomical structures, and abnormalities in medical images with precision.
Instance segmentation
Vision AI in healthcare can help identify and outline surgical tools to help doctors during operations. Precise segmentation of medical instruments and anatomical regions.
Image classification
Vision AI in labs helps with image classification, quickly identifying diseased cells in pathology slides. Automated classification of medical conditions and tissue types.
OBB object detection
Doctors can assess bone alignment in x-rays with oriented bounding box object detection. Precise measurement and analysis of anatomical structures.
Pose estimation
Detection model supports pose estimation to help monitor a patient's movements during physical rehabilitation. Track and analyze patient movement patterns.
Object tracking
Object tracking task can boost hospital security by facilitating real-time monitoring. Track medical equipment, personnel, and patients throughout healthcare facilities.
Benefits of computer vision in healthcare
01. Reclaim time lost to admin tasks - up to 70% - with AI
Computer vision applications enabled by our AI models, such as automated data extraction from medical forms can reduce admin burdens in healthcare.
02. Computer vision speeds up lab tasks 100x
Computer vision in healthcare redefines lab tasks like cell counting, making them faster and more accurate. Automate repetitive laboratory processes.
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