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MFDS Approved · FDA(510K) Clearance
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Comprehensive Evaluation for Healthy Longevity

DeepCatch evaluates muscle, visceral fat and bone density from CT scans. See the possibilities of diseases and optimize your everyday care based on precise evaluation.

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Lifelog monitoring and quantification
of anatomical data through AI digital twin

CT
whole body CT imagewhole body CT image sideways
Segmentation
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Report

Body composition analysis

Muscle-fat analysis

Bone analysis

Liver analysis

Body composition analysis

Muscle-fat analysis

Bone analysis

Liver analysis

Provides ultimate accuracy in body composition analysis with a single click

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Provides medical examination without
adoption of additional equipment or examination

Skin indices

Fat indices

Muscle indices

Liver & Spleen indices

Bone density

Liver proton density fat fraction

Muscle quality map

Agatston score

Lifelog report with 3D visualization

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  • Skin
  • Subcutaneous fat
  • Muscle
  • Abdominal visceral fat
  • Internal organs
  • Liver and Spleen
  • Bone
  • Individual vertebra
  • Central nervous system
DeepCatch Report TEXT
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Automatic search for fast analysis

Thoracic Vertebrae
(T1 ~ T12)
Lumbar Vertebrae
(L1 ~ L5)
Abdominal Waist
Vertebral
Column
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
L1
L2
L3
L4
L5

Association of Adipopenia
at Preoperative PET/CT
with Mortality in Stage
I Non–Small Cell Lung Cancer

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  • Epithelial ovarian cancer
  • Uterine endometrial carcinoma
  • Posttransplant Diabetes Mellitus
  • Arterial stiffness
  • Early Cervical Cancer

References

February 8 / 2024

Prognostic value of initial and longitudinal changes in body composition in metastatic pancreatic cancer

Pancreatic CancerPMID: 38332658Min Woo Lee...et al
December 20 / 2023

Three-dimensional body composition parametersusing automatic volumetric segmentation allowaccurate prediction of colorectal cancer outcomes

Colorectal cancer (CRC)PMID: 38123148Aiya Bimurzayev...et al
1/15
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DeepCatch is a body composition analysis solution with high accuracy. DeepCatch bases its analysis on quantified data of CT images and provides proportions and measurements of muscle, fat, etc. This can be used in prediction and prevention of various metabolic diseases
 such as sarcopenia and osteoporosis.

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