CloudFactory is a HIPAA-compliant business associate, committed to safeguarding personal health information for Medical AI and healthcare data projects.
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Busy physicians shouldn't do tedious data labeling work for medical AI projects. Save time and money by outsourcing data annotation to CloudFactory.
Here are four reasons that doctors shouldn't waste time on tedious data labeling and a solution to accelerate medical AI data training data pipelines.
Are you considering outsourcing data labeling work while developing medical AI or computer vision solutions? Read these data security tips.
Doctor shortages are impacting healthcare innovators’ ability to label data for computer vision solutions. Outsourcing the work will help.
Computer vision improves patient care, streamlines medical decisions, and lowers costs. Ask these questions before outsourcing healthcare data annotation.
Recap of our chat with V7 about medical AI data annotation while creating a dataset of COVID-19 X-rays for clinical use and diagnostic AI development.
Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.
The rise of medical AI solutions shows great promise, but there are still important hurdles to overcome, such as concerns about privacy and data accuracy.
From data collection to training and deploying working models, the development of medical AI comes with many important challenges and opportunities.
From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.
AI is transforming healthcare; it arms practitioners to make better decisions & fewer errors. Here’s how image annotation in Medical AI makes it possible.
Image annotation holds great promise for industries that rely heavily on visual data. Here are 3 of the biggest opportunities for image annotation.
CloudFactory and V7 Labs annotated chest x-rays data sets and trained ML models to identify health issues for COVID-19 research.
Healthcare companies transcribing high volume of medical record need to strike a balance between speed and accuracy.