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DeepScout combines longitudinal abdominal CT and clinical information, while DeepClean improves image quality for more robust AI-assisted analysis.

MULTIMODAL ABDOMINAL AI

One clinical picture, built from signals that used to remain separate.

DeepScout is designed to analyze the liver, biliary tract, and pancreas together. It combines current and prior CT studies with clinical indicators to surface subtle patterns that can support earlier, more contextual clinical decisions.

SYSTEM ARCHITECTURE

One connected clinical intelligence layer.

MULTIMODAL INPUT
01Longitudinal CTCurrent and prior studies
02Clinical indicatorsBiomarkers and metabolic context
03Patient historyChange over time
DEEPSCOUT
CLINICAL OUTPUT
01Risk contextMulti-organ relationships
02Lesion localizationReviewable visual support
03Decision supportPACS-oriented workflow
01

DEEPSCOUT

Pre-cancer stage-aware analysis

Longitudinal CT studies are evaluated together with relevant clinical information such as biomarkers, metabolic indicators, weight changes, and patient history. The goal is to recognize meaningful change before a single scan tells the whole story.

  • Time-series imaging analysis
  • Clinical indicator fusion
  • Risk context and lesion localization support
Longitudinal abdominal CT analysis on a clinical workstation
Longitudinal imaging and early-signal analysis
02

MULTI-ORGAN CONTEXT

Liver, biliary tract, and pancreas in one relationship-aware view

Rather than treating each organ as an isolated task, DeepScout is designed around the clinical relationships across the upper abdomen. This integrated view supports a more complete assessment of hard-to-detect disease patterns.

  • Abdominal multi-organ coverage
  • Relationship-aware feature analysis
  • Designed for connection with established PACS workflows
Integrated liver, biliary tract, and pancreas analysis
Integrated hepatobiliary and pancreatic analysis
03

DEEPCLEAN

Robust image quality for reliable downstream analysis

DeepClean addresses noise, motion, and metal artifacts that can weaken both visual interpretation and AI performance. Guided image restoration is designed to preserve clinically relevant structures while improving the consistency of low-dose CT.

  • Low-dose noise reduction
  • Motion and metal artifact correction
  • Structure-preserving image restoration
Low-dose CT image restoration
Noise and artifact-aware CT restoration
1M+abdominal imaging and clinical records in the research foundation
600K+liver, biliary tract, and pancreatic data records
PACS-readycommercialization approach designed for existing clinical workflows

CLINICAL FLOW

From fragmented signals to actionable context.

  1. 01Collect

    Current and prior CT studies with relevant clinical indicators

  2. 02Integrate

    Multimodal and multi-organ relationship analysis

  3. 03Support

    Risk context, lesion location, and clinically reviewable output