Methodological workflow. From left to right, the process of image cropping, feature detection, feature quantification, model training, and classification is demonstrated. Interbody cages have been covered. Credit: Journal of Neurosurgery: Spine (2022), DOI: 10.3171/2022.11.SPINE221009 Identifying previously placed spinal hardware can be difficult and time consuming when a patient needs revision […]

Synthetic data for computer vision (CV) for training artificial intelligence algorithms is poised to gain widespread adoption by government and commercial customers to reduce cost and time of acquiring real sensor data BELLEVUE, Wash., Dec. 15, 2022 /PRNewswire/ — Rendered.ai, the leading platform for physics-based synthetic data, wraps up 2022 […]

Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model millions of example images gathered into a massive dataset. However, using real image data can raise practical and ethical concerns: The […]

Modular mobile carts & pre-trained learning models save months in bringing products to market By Roger Lam, MBX Systems The rise of artificial intelligence and edge computing has paved the way for computer vision applications such as fall detection, virtual patient interactions and remote surgery viewing designed for deployment near […]