Fierce Biotech May 22, 2024
Conor Hale

A digital pathology collaboration between Microsoft, the University of Washington and Providence health network aims to overcome a few of the obstacles to fully implementing artificial intelligence in the field of cancer diagnostics—and in some cases, through sheer scale.

The team of researchers put forward a machine learning model that, according to Providence, is built upon one of the largest AI training efforts to date in real-world, whole-slide tissue analysis.

That includes 1.3 billion pathology images derived from more than 171,000 scanned slides provided by the health system—which pegs the dataset’s size as five to 10 times larger than other curated collections, such as The Cancer Genome Atlas.

The slides were taken from more than 30,000 patients and span...

Today's Sponsors

Venturous
Got healthcare questions? Just ask Transcarent

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Digital Health, Health System / Hospital, Partnerships, Provider, Technology, Trends
AI Investments Expected to Shift to Inference While Growing Faster Than Forecast
Report: OpenAI to Test Feature Connecting ChatGPT to Slack and Google Drive
Vaccines And AI
Mistral AI drops new open-source model that outperforms GPT-4o Mini with fraction of parameters
The most 'impactful' tech in 30 years? Ask Duke's health information chief

Share This Article