Radiology, optimized

Improved productivity for radiology in advanced cancer imaging

Visit us at RSNA 2022

Learn more about AI Metrics by visiting Booth #4357, located in the South Hall AI Showcase.

2x

Faster reads

25%

More accurate reads

99%

Fewer major errors

58%

Better inter-observer agreement

Headshot of Anthony Trace

"This will revolutionize our efficiency and accuracy"


Anthony Paul Trace, MD, PhD
Hampton Roads Radiology Associates

More efficient reads

Your radiologists are doing all they can. They work quickly and accurately.
But it's not enough to meet organizational goals.

They need standardized workflows to increase efficiency and productivity.

Removing workflow variation brings greater accuracy and inter-provider agreement.

Enhanced productivity

  • Improved efficiency to perform more reads each day
  • Standardized workflows for higher inter-observer agreement
  • Less redundancy and variability
  • Higher job satisfaction for radiologists
  • Better patient care

Radiology resources

Cancer Imaging Technology

AI Metrics Raises $1.26 MM to Accelerate Innovation and R&D for its AI-enabled Cancer Imaging Technology

AI Metrics, an early stage AI-enabled, cancer-imaging radiology software company, announced today that it has raised $1.26MM in a bridge financing round. The round was led by an angel fund and several individual investors, many of them leading radiologists. AI Metrics was launched in 2019 by Bob Jacobus, Paige Severino, and radiologist and researcher Dr.

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Welcoming Our New Chief Medical Officer and CEO

We are excited to announced new changes to its executive leadership team, naming Dr. Andrew Smith as Chief Medical Officer and appointing Bob Jacobus as CEO.

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Can AI improve your radiology image analysis?

Lately, it feels like everyone is talking about artificial intelligence (AI) for radiology image analysis. For a good reason, too. There’s a lot to consider.

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Comparing AI Metrics to Manual Methods

In a multi-institutional comparative effectiveness study, 24 independent radiologists and 20 independent oncologic providers compared AI Metrics to current manual methods.

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