De-identifying Medical Images Cost-Effectively with Vision Language Models on Databricks
PositiveArtificial Intelligence
This article discusses the innovative use of vision language models on Databricks for cost-effective de-identification of medical images like X-rays. It highlights the importance of scalable solutions in maintaining patient privacy while ensuring the usability of medical data.
— Curated by the World Pulse Now AI Editorial System








