The ReXrank challenge evaluates AI models on their ability to generate both findings sections and complete reports with impressions. The surprising performance gap between specialized medical AI models and general-purpose vision-language models like GPT-4V highlights the importance of domain-specific development in healthcare AI.
ReXrank will expand to include more AI solutions and encourage greater open and rigorous debate about the performance of this new era of medical technology.
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About Gradient Health:
Gradient Health is a medical technology company headquartered in North Carolina, USA. They provide easy access to the foundation model scale medical imaging datasets needed to train and validate technologies, getting more equitable innovations to market faster.
Gradient was founded to power better medical research by accelerating AI development. Health innovators from around the world use Gradient Health’s platform to improve their products, without compromising speed, quality of research or data privacy.
About The Rajpurkar Lab:
The Rajpurkar Lab, part of the Harvard Medical School's Department of Biomedical Informatics, is committed to pioneering the development of advanced medical artificial intelligence. Their mission is to scale the expertise of top medical professionals globally through innovative AI solutions. They approach this scientific challenge with innovation in algorithmic development, large scale data curation, and clinician impact studies to transform radiology, emergency medicine and beyond.
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