Ally Han

BOSTON, MA — May 01, 2024 — Researchers from the Rajpurkar Lab in the Department of Biomedical Informatics at Harvard Medical School and Gradient Health have launched ReXGradient-160K, the largest publicly available chest X-ray dataset in terms of patient size and site number to date. This dataset features 160,000 anonymized radiological studies from over 109,000 […]

First Public Benchmark for AI Radiology Report Generation Launched by Rajpurkar Lab and Gradient Health. December 18, 2024 BOSTON, MA — The Rajpurkar Lab at Harvard Medical School’s Department of Biomedical Informatics today announced the launch of ReXrank (rexrank.ai), the first standardized public leaderboard for evaluating AI models that generate radiology reports from chest X-rays. With

Protege, the platform for AI training data, announced a partnership today with Gradient Health, the leading provider of medical imaging datasets. Through this collaboration, Protege and Gradient Health will provide developers with access to millions of de-identified medical images, accelerating the creation of AI models in healthcare. “Training data is the biggest bottleneck in AI,

Gradient Health, the leading provider of medical imaging data for AI development, today announced the acquisition of DataAppraisal, a healthcare AI company specializing in unlocking the value of anonymized healthcare data from health systems across the world. This acquisition will enhance Gradient’s ability to provide medical AI developers access to a vast number of de-identified

Gradient announces partnership with FlyWheel – click the link to watch the interview with Joshua Miller, CEO of Gradient Health. This partnership means Flywheel.io Exchange users can now get access to analysis-ready datasets for real-world evidence use cases all within one platform! It will provide access to diverse medical imaging datasets directly in Flywheel Exchange, simplifying