Philips has expanded its partnership with Cortechs.ai to incorporate the company’s AI-powered neuroimaging software directly into its MR imaging platforms, a move aimed at streamlining workflows and supporting more standardized brain assessments.

The extended collaboration will embed Cortechs.ai’s NeuroQuant software into Philips' Smart Reading environment, a cloud-based system that facilitates image viewing, analysis and reporting within the MR platform itself. According to Philips, this approach eliminates the need for manual data transfer or post-processing, enabling automated, quantitative reporting at the point of care.

The Amsterdam-based technology firm said the move addresses a growing need for efficiency and consistency in neurological imaging, particularly as radiology departments face higher volumes of brain scans and ongoing workforce challenges. Brain imaging now accounts for up to a quarter of all MR procedures, and diseases such as Alzheimer’s, multiple sclerosis, and brain tumors continue to rise globally.
“By extending our partnership with Cortechs.ai, we are accelerating the transition to fully quantitative, AI-powered neuroimaging,” said Ioannis Panagiotelis, Ph.D., business leader for MR at Philips. “This integration brings precision, reproducibility, and efficiency to neurological MR, helping clinicians make faster, more confident decisions for patients living with complex brain conditions.”

The San Diego-based Cortechs.ai specializes in post-processing tools that quantify brain structure volumes, track lesions, and monitor tumors across timepoints — capabilities that can support earlier and more consistent diagnoses.

Cortechs.ai CEO Kyle Frye said the expanded partnership supports clinicians by “making it easier to personalize brain care and track neurological changes with precision.”

Philips noted that the integrated solution builds on its existing offering within the Philips Advanced Visualization Workspace and reflects the company’s broader strategy to apply AI in ways that improve diagnostic throughput and standardization.

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