CloudFactory Earns HIPAA Compliant Business Associate Validation

CloudFactory Earns HIPAA Compliant Business Associate Validation

CloudFactory is a HIPAA-compliant business associate, committed to safeguarding personal health information for Medical AI and healthcare data projects.

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Why Using Physicians for Medical AI Data Labeling is a Big Mistake [Infographic]

Why Using Physicians for Medical AI Data Labeling is a Big Mistake [Infographic]

Busy physicians shouldn't do tedious data labeling work for medical AI projects. Save time and money by outsourcing data annotation to CloudFactory.

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4 Reasons Doctors Shouldn’t Annotate Data for Medical AI

4 Reasons Doctors Shouldn’t Annotate Data for Medical AI

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.

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Medical AI Security and Data Privacy in the Age of Computer Vision

Medical AI Security and Data Privacy in the Age of Computer Vision

Are you considering outsourcing data labeling work while developing medical AI or computer vision solutions? Read these data security tips.

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Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctor shortages are impacting healthcare innovators’ ability to label data for computer vision solutions. Outsourcing the work will help.

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5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

Computer vision improves patient care, streamlines medical decisions, and lowers costs. Ask these questions before outsourcing healthcare data annotation.

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Q&A with V7: COVID-19 AI Data Annotation for Clinical & Diagnostic Imaging

Q&A with V7: COVID-19 AI Data Annotation for Clinical & Diagnostic Imaging

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.

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Now is the Time for Medical AI Adoption

Now is the Time for Medical AI Adoption

Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.

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4 Data Hurdles in Medical AI Development

4 Data Hurdles in Medical AI Development

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.

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From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From data collection to training and deploying working models, the development of medical AI comes with many important challenges and opportunities.

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6 Ways Medical AI is Transforming Healthcare

6 Ways Medical AI is Transforming Healthcare

From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.

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How Image Annotation Helps Advance Medical AI

How Image Annotation Helps Advance Medical AI

AI is transforming healthcare; it arms practitioners to make better decisions & fewer errors. Here’s how image annotation in Medical AI makes it possible.

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3 Opportunities for Image Annotation to Improve Our World

3 Opportunities for Image Annotation to Improve Our World

Image annotation holds great promise for industries that rely heavily on visual data. Here are 3 of the biggest opportunities for image annotation.

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V7 Labs & CloudFactory Release Annotated X-Ray Dataset to Aid in COVID-19 Research

V7 Labs & CloudFactory Release Annotated X-Ray Dataset to Aid in COVID-19 Research

CloudFactory and V7 Labs annotated chest x-rays data sets and trained ML models to identify health issues for COVID-19 research.

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Balancing Quality and Speed in Healthcare Information Management

Balancing Quality and Speed in Healthcare Information Management

Healthcare companies transcribing high volume of medical record need to strike a balance between speed and accuracy.

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