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Nucleo

Nucleo is an AI medical imaging product for oncology teams that automates CT scan analysis. It focuses on body composition assessment, tumor lesion sizing, and RECIST-based lesion classification.

Nucleo

Overview

Nucleo is an automated cancer diagnostics product focused on AI analysis of oncological CT imaging. The site says it automates CT scan analysis for oncology care and turns scans into answers in seconds rather than hours.

Its published use cases center on body composition and sarcopenia assessment, tumor lesion sizing, and target versus non-target lesion classification under RECIST criteria. The site also states that Nucleo works with hospitals in the US and worldwide and is backed by Y Combinator.

Features

Automated CT scan analysis

Automatically analyzes CT scans for oncology care, reducing the need for manual review of scan data.

Body composition assessment

Detects and quantifies fat and muscle mass from CT scans to support body composition and sarcopenia assessment.

Tumor lesion sizing

Measures tumor lesions in CT scans with a focus on precision and consistency.

RECIST lesion classification

Classifies lesions as target or non-target according to RECIST criteria.

Workflow support for oncology teams

Designed to streamline clinical workflows across oncology imaging tasks, with a stated emphasis on faster analysis than manual segmentation.

Use Cases

  • Body composition and sarcopenia assessment

    Quantify fat and muscle mass from CT scans when evaluating body composition or sarcopenia in oncology patients.

  • Tumor lesion sizing

    Measure tumor lesions consistently across CT studies to support oncology review and reporting.

  • RECIST-based lesion classification

    Classify lesions as target or non-target in line with RECIST criteria for structured treatment assessment.

Pros and Cons

Pros

  • Focuses specifically on oncology CT analysis rather than general imaging.
  • Covers multiple oncology-related tasks in one product, including body composition, lesion sizing, and RECIST classification.
  • Positions analysis as automated and faster than manual segmentation.
  • States that the team works with hospitals in the US and worldwide.

Cons

  • The source does not provide workflow, integration, or deployment details.
  • The pricing page is unavailable, so commercial terms are not published on the site material provided.

FAQ

What does Nucleo do?

Nucleo automates CT scan analysis for oncology care, so it is designed for clinical teams working with oncological imaging rather than general-purpose image review.

How is Nucleo implemented in a clinical workflow?

The source material does not describe setup steps, deployment requirements, or supported hospital systems, so those details are not confirmed here.

What kinds of results does Nucleo produce?

The site highlights three outputs: body composition and sarcopenia assessment, tumor lesion sizing, and target versus non-target lesion classification under RECIST criteria.

Does Nucleo publish pricing?

The pricing page currently returns a 404, so no pricing, plan, or trial information is available from the provided source.

Quick Facts

Category
AI medical imaging
Primary modality
CT scans
Primary use
Oncology diagnostics
Published use cases
Body composition assessment, tumor lesion sizing, RECIST lesion classification
Website
nucleoresearch.com
Pricing
Not published; pricing page returns 404