Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing supervised systems while uncovering biological patterns that traditional ...
Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.
AI development powerhouse Nvidia is launching a new set of cloud-based application programming interfaces (APIs) designed to speed up the creation and deployment of specialized AI models in the ...
Google is launching a set of tools meant to make medical images more interoperable and help organizations develop artificial intelligence and machine learning models around them. Billions of medical ...
In recent years, the idea of Artificial Intelligence has revolutionized the healthcare scene, and data annotation is at the forefront of this revolution, persistently driving progress in the ...
Even though the Food and Drug Administration (FDA) has approved more than 200 commercial radiology AI products, substantial obstacles must be overcome before we are likely to see widespread successful ...
Health tech startup RedBrick AI has raised $4.6 million in a funding round led by Sequoia India and Southeast Asia’s Surge as it plans to expand the market for its medical imagery annotations solution ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
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