Computer vision in healthcare

Use Ultralytics YOLO models to build customized healthcare solutions that drive better diagnostics and enable smarter patient monitoring through advanced computer vision systems.

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Ultralytics YOLO applications in healthcare

Object detection

By integrating Vision AI for medical imaging, hospitals can streamline diagnoses.

Instance segmentation

Vision AI in healthcare can help identify and outline surgical tools to help doctors during operations.

Image classification

Vision AI in labs helps with image classification, quickly identifying diseased cells in pathology slides.

Pose estimation

YOLO11 supports pose estimation to help monitor a patient’s movements during physical rehabilitation.

OBB object detection

Doctors can assess bone alignment in x-rays with oriented bounding box object detection.

Object tracking

YOLO11’s object tracking task can boost hospital security by facilitating real-time monitoring.

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Benefits of computer vision in healthcare

01

Reclaim time lost to admin tasks - up to 70% - with AI

Computer vision applications enabled by Ultralytics YOLO, 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.

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Frequently asked questions

How is computer vision used in healthcare?

How is AI used in healthcare?

Is medical imaging a part of computer vision?

What is the future scope of AI in healthcare?

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