Nucleo

What is Nucleo?

Nucleo is an AI system that automates CT scan analysis for oncology care. Its goal is to streamline key measurement and assessment tasks—from scan data to structured outputs that clinicians can review—while reducing reliance on manual segmentation.

The site positions Nucleo around three workflow areas used in oncology imaging: body composition and sarcopenia assessment, tumor lesion sizing, and classification of target vs non-target lesions using RECIST criteria.

Key Features

• Automated CT-based body composition assessment: detects and quantifies fat and muscle mass in CT scans to support sarcopenia-related evaluation.
• Tumor lesion sizing measurements: produces precise and consistent measurements of tumor lesions from CT scans.
• Target vs non-target lesion classification: automatically classifies lesions according to RECIST criteria.
• Designed to reduce manual segmentation effort: emphasizes faster analysis than manual segmentation as part of the workflow.
• Expert-level consistency validation: highlights agreement between Nucleo outputs and expert assessments.

How to Use Nucleo

• Get in touch to start a pilot or evaluation: the site includes a “Book a demo” and a contact form (“Book some time with us, or send us a message”).
• Provide CT imaging inputs for the clinical task: use Nucleo for the relevant oncology imaging use case (body composition, lesion sizing, or RECIST-based classification).
• Review the generated results: interpret Nucleo outputs in the context of clinical review and decision-making.

Use Cases

• Body composition and sarcopenia assessment for oncology patients: automatically identify and quantify fat and muscle mass from CT scans to support assessment workflows.
• Consistent tumor lesion sizing across studies: measure tumor lesions in CT scans using standardized outputs to improve consistency over manual approaches.
• RECIST-aligned lesion categorization: classify lesions as target versus non-target according to RECIST criteria as part of oncology response assessment workflows.
• Clinical team workflow streamlining: reduce time spent on manual segmentation and measurement by using automated analysis for multiple oncology imaging tasks.

FAQ

What types of imaging does Nucleo analyze?

Nucleo is described as automating CT scan analysis for oncology care.

What oncology tasks does Nucleo support?

The site highlights three areas: body composition and sarcopenia assessment, tumor lesion sizing, and target vs non-target lesion classification using RECIST criteria.

How does Nucleo compare to manual segmentation?

Nucleo’s messaging states it is faster than manual segmentation and reports agreement between Nucleo and expert assessments.

How do I get started?

Use the website’s “Book a demo” option or send a message via the contact form to arrange time with the team.

Where is Nucleo used?

The site states it works with hospitals in the US and worldwide, but it does not list specific deployments or regions beyond that.

Alternatives

• AI-assisted medical imaging segmentation tools: software focused on delineating anatomy/lesions in CT images; typically require more setup or integration into local workflows, depending on vendor.
• Radiology workflow automation platforms: tools that help standardize measurement and reporting processes across imaging pipelines without being limited to the specific three Nucleo use cases.
• Oncology response assessment software aligned to RECIST: solutions that support RECIST-based review workflows and lesion tracking, potentially using clinician-driven measurements rather than fully automated classification.
• General-purpose clinical AI platforms for imaging: platforms that can be adapted to oncology imaging tasks, which may differ in specialization (vs. Nucleo’s targeted focus on body composition, lesion sizing, and RECIST classification).