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The new AI-powered scientific search engine, Consensus has officially announced its partnership with Centaur Labs to generate high-quality and scalable scientific data labels.
A collective intelligence-based labeling company, Centaur Labs is focused on unblocking AI development in the medical and life sciences spaces.
By partnering with Centaur Labs, Consensus was able to generate massive datasets of scientific papers annotated by scientists and doctors, helping the AI-powered search engine effectively analyze and extract information from research.
Read more about the partnership in Consensus' press release: Consensus Announces Their Partnership With Collective Based Data Labeling Company Centaur Labs
Access a collection of dozens of open source image datasets for medical AI across a variety of formats including X-ray, CT, Ultrasound, Whole Slide Imagery, MRI and more
From SMS to insurance claims to pathology reports and scientific studies, in this post we dig into the most common type of medical text datasets leveraged for NLP in healthcare.
The model recommends patients for partial (UKA) or total (UKA) knee arthroplasty with high confidence, based on standard knee x-ray views.