Philips, Cortechs.ai Deepen Integration of AI-Driven Neuroimaging Tools in MR Workflow

The move comes at a time when up to 25% of all MR procedures are brain scans, while radiology departments worldwide continue to face mounting shortages of skilled staff.

Royal Philips has expanded its partnership with Cortechs.ai to integrate AI-enabled quantitative neuroimaging tools directly into Philips’ MR systems, aiming to enhance diagnostic precision and improve workflow efficiency in neurological imaging.

The collaboration brings Cortechs.ai’s automated analytics, including brain volumetrics, lesion quantification, and tumor tracking into Philips’ MR environment, enabling radiologists to access objective, numerical biomarkers within their routine workflow.

The move comes at a time when up to 25% of all MR procedures are brain scans, while radiology departments worldwide continue to face mounting shortages of skilled staff.

The rising incidence of Alzheimer’s disease, multiple sclerosis (MS), and brain tumors has placed additional pressure on imaging teams, where interpretation still relies heavily on subjective visual assessments. By embedding quantitative tools into the MR system, the companies aim to reduce variability and support more consistent clinical decision-making.

Under the extended partnership, Cortechs.ai’s NeuroQuant® solutions for neurodegenerative and neuro-oncology conditions will be integrated into Philips’ Smart Reading environment—a cloud-based AI platform positioned directly on the MR system and compatible PACS. Through a zero-click workflow, clinicians will automatically receive standardized, quality-checked quantitative reports without additional steps for technologists. Philips stated that the approach is designed to streamline reading times and improve productivity across radiology services.

According to Ioannis Panagiotelis, PhD, Business Leader for MRI at Philips, the integration enables radiologists to interpret brain scans faster and with higher confidence by pairing MR images with reproducible data insights. The tools are expected to support more precise tracking of disease progression and treatment response across conditions such as Alzheimer’s, MS, and brain tumors.

Philips said the collaboration aligns with its broader strategy of embedding AI deeply into imaging workflows to reduce manual processes and improve throughput. Automated quantitative outputs offer radiologists measurable biomarkers that can be used for consistent comparisons over time and across sites. For technologists, the removal of manual post-processing steps is expected to free up time for patient-facing tasks.

Cortechs.ai CEO Kyle Frye noted that combining the company’s neuro analytics with Philips’ MR technology makes advanced quantitative imaging more accessible within everyday clinical practice. NeuroQuant® tools are already available on Philips’ Advanced Visualization Workspace, and the expanded integration aims to further scale data-driven neuro diagnostics across hospitals and imaging centers.

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