Philips and Cortechs.ai extend partnership to advance quantitative neuroimaging and strengthen Philips’ leadership in precision diagnostics in neurology

Up to 25% [2] of all MR procedures are brain scans, and radiology departments face growing demand amid increasing staff shortages. At the same time, the number of patients with neurological conditions such as Alzheimer’s disease, multiple sclerosis (MS), and brain tumors continue to rise globally. Current MR interpretation of neurodegenerative diseases or neuro oncology cases depends heavily on visual assessment, introducing variability and requiring significant expertise and time in an already overloaded system.

Through this extended partnership, Philips and Cortechs.ai aim to deliver more standardized and data-driven imaging. By integrating quantitative analysis tools such as brain volumetrics, lesion quantification, and tumor tracking directly into the Philips MR imaging workflow [1], clinicians gain objective, numerical data alongside images – enabling faster, more consistent, and confident diagnoses.

The integration of Cortechs.ai’s NeuroQuant® solutions for Alzheimer’s, MS and brain tumors within Philips’ Smart Reading environment – a cloud-based AI platform that combines imaging, reading, and reporting directly on the MR systems [1] – marks a major step toward precision neuroimaging.

“By extending our partnership with Cortechs.ai, we are accelerating the transition to fully quantitative, AI-powered neuroimaging,” said Ioannis Panagiotelis, PhD, Business Leader, MRI, 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.”

Philips is driving productivity and improving care through deep AI integration that tackles some of healthcare’s most pressing challenges – from workforce shortages to the growing demand for advanced diagnostics. By automatically generating quantitative reports within existing workflows, AI helps radiologists save time, improve consistency, and boost throughput. Objective numerical biomarkers enhance diagnostic accuracy, enabling more reproducible assessments and confident comparisons across time and sites. And by minimizing manual post-processing through automated, quality-controlled workflows, technologists can focus more on what matters most – delivering a better, more personalized patient experience.

“Cortechs.ai’s mission has always been to empower clinicians with actionable, quantitative insights,” said Kyle Frye, Chief Executive Officer, Cortechs.ai. “By combining our advanced neuro analytics with Philips’ leading MR platform and AI infrastructure, we’re making it easier to personalize brain care and track neurological changes with precision.”