deepct

JSON twin: https://www.healthaidb.com/software/deepct.json

Company Name

Deep01

Product URL

https://www.deep01.com/products

Company URL

https://www.deep01.com/

Categories

Summary

DeepCT is an AI-powered clinical decision support system that analyses non-contrast head CT images to detect and quantify intracranial hemorrhage and other acute brain CT findings, providing prioritization and automated alerts to clinicians.

Description

DeepCT (by Deep01) is a commercially cleared AI/ML medical software for analysis of brain CT scans. It performs ICH detection and subtype classification, ICH volume estimation, region classification, ICH scoring, midline shift and Evans index estimation, cranial/facial fracture detection, LVO and ischemic stroke detection, ASPECTS and Marshall score estimation, pneumocephalus detection, and automated prioritization/notification workflows. It is cleared by regulatory bodies (including a U.S. FDA 510(k) K182875) and marketed for integration into hospital imaging workflows as a triage/alerting tool.

Api Available

unknown

Certifications

Company Founding

2016

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P2021

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing, deployment and licensing information; enterprise contracts and site licenses (trial/contact vendor).

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2019

Security Features

Specialties

Support Channels

System Requirements

DICOM-compatible imaging source/PACS; supports cloud deployment, hybrid or local deployment on dedicated hardware (vendor provides appliance or server-side deployment).

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Deep01",
  "company_url": "https://www.deep01.com/",
  "company_offices": [
    "Taiwan"
  ],
  "company_founding": "2016",
  "product_url": "https://www.deep01.com/products",
  "categories": [
    "clinical",
    "diagnostic",
    "imaging",
    "radiology",
    "decision support",
    "triage",
    "neurology"
  ],
  "market_segment": [
    "enterprise",
    "hospital"
  ],
  "links": [
    "https://www.deep01.com/",
    "https://www.deep01.com/products",
    "https://www.deep01.com/about",
    "https://www.deep01.com/contactus",
    "https://healthairegister.com/products/deep01-deepct",
    "https://healthairegister.com/companies/deep01-limited",
    "https://www.accessdata.fda.gov/cdrh_docs/pdf18/K182875.pdf",
    "https://techcrunch.com/2020/06/22/taiwanese-startup-deep01-raises-2-7-million-for-its-ai-based-medical-imaging-software/",
    "https://www.itnonline.com/content/deep01-cuts-ich-patients-los-emergency-department-367-hours"
  ],
  "summary": "DeepCT is an AI-powered clinical decision support system that analyses non-contrast head CT images to detect and quantify intracranial hemorrhage and other acute brain CT findings, providing prioritization and automated alerts to clinicians.",
  "description": "DeepCT (by Deep01) is a commercially cleared AI/ML medical software for analysis of brain CT scans. It performs ICH detection and subtype classification, ICH volume estimation, region classification, ICH scoring, midline shift and Evans index estimation, cranial/facial fracture detection, LVO and ischemic stroke detection, ASPECTS and Marshall score estimation, pneumocephalus detection, and automated prioritization/notification workflows. It is cleared by regulatory bodies (including a U.S. FDA 510(k) K182875) and marketed for integration into hospital imaging workflows as a triage/alerting tool.",
  "target_users": [
    "radiologists",
    "emergency physicians",
    "neurosurgeons",
    "stroke teams",
    "radiology technologists",
    "hospital administrators"
  ],
  "specialties": [
    "neuroradiology",
    "emergency medicine",
    "neurosurgery",
    "trauma",
    "stroke care"
  ],
  "regions_available": [
    "United States",
    "Taiwan",
    "Japan",
    "European Union",
    "Thailand",
    "Hong Kong",
    "Malaysia",
    "Global"
  ],
  "languages_supported": [
    "English",
    "Traditional Chinese",
    "Simplified Chinese",
    "Japanese"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing, deployment and licensing information; enterprise contracts and site licenses (trial/contact vendor).",
  "license": "commercial proprietary",
  "deployment_model": [
    "cloud-based",
    "hybrid",
    "on_prem"
  ],
  "os_platforms": [
    "Web",
    "Windows"
  ],
  "features": [
    "Intracranial hemorrhage (ICH) detection",
    "ICH volume estimation",
    "ICH subtype classification",
    "ICH region classification",
    "ICH score estimation",
    "Marshall score estimation",
    "Evans index estimation",
    "Midline shift estimation",
    "Pneumocephalus detection",
    "Cranial and facial fracture detection",
    "Ischemic stroke detection",
    "Large vessel occlusion (LVO) detection",
    "Aspect score estimation",
    "Automated worklist prioritization",
    "Real-time alerts/notifications",
    "Annotated DICOM outputs (SC, PR)",
    "AI-generated report"
  ],
  "optional_modules": [],
  "integrations": [
    "PACS (standard reading environment)",
    "Stand-alone third-party applications",
    "Stand-alone web-based viewers"
  ],
  "data_standards": [
    "DICOM",
    "DICOM Structured Reports (DICOM SR)",
    "DICOM Presentation State (PR)"
  ],
  "api_available": "unknown",
  "system_requirements": "DICOM-compatible imaging source/PACS; supports cloud deployment, hybrid or local deployment on dedicated hardware (vendor provides appliance or server-side deployment).",
  "compliance": [
    "CE (MDD)",
    "US FDA 510(k)"
  ],
  "certifications": [
    "CE (MDD) — listed as CE certified",
    "FDA 510(k) clearance"
  ],
  "security_features": [
    "User authentication",
    "Audit logs",
    "Data encryption (in transit and at rest)"
  ],
  "privacy_features": [],
  "data_residency": "",
  "customers": [
    "National Taiwan University Hospital",
    "Tri-Service General Hospital",
    "Kaohsiung Veterans General Hospital",
    "Changhua Christian Hospital (彰化基督教醫療財團法人)",
    "Wanfang Hospital (臺北市立萬芳醫院)",
    "Chang Gung Medical Foundation (長庚醫療財團法人)",
    "Show Chwan Medical System (秀傳醫療體系)",
    "Antai Tian-Sheng Memorial Hospital",
    "Chang Gung Memorial Hospital, Linkou",
    "Kaohsiung Veterans General Hospital",
    "Yuanlin Christian Hospital"
  ],
  "user_reviews": [
    "The software can detect acute intracerebral hemorrhage with an accuracy rate of 93% to 95%.",
    "The system works with 95 percent accuracy in just 30 seconds per case — about 10 times faster than competing methods.",
    "DeepCT shortened intracranial hemorrhage patients' length of stay in the emergency department by about 3 hours and 40 minutes on average.",
    "Used in more than 15 hospitals in Taiwan and has processed over 25,000 cases, demonstrating real-world use at scale.",
    "First deep learning medical device from the region to obtain U.S. FDA clearance — provided confidence for adoption in clinical settings."
  ],
  "ratings": [
    "FDA 510(k) cleared — Class II",
    "CE certification (MDD) — Class I",
    "Taiwan FDA approval (TFDA)",
    "Reported accuracy claims: 93%–95% (published/press sources)",
    "Market presence: used in 30+ hospitals (company reporting)"
  ],
  "support_channels": [
    "email",
    "phone",
    "onsite (implementation)",
    "24x7 availability (product operates 24 hours)"
  ],
  "training_options": [
    "documentation (download zone)",
    "publications / clinical papers",
    "live_online (web demos)",
    "onsite training"
  ],
  "release_year": "2019",
  "integration_partners": [
    "Microsoft",
    "NVIDIA",
    "Amazon (AWS)",
    "ASUS",
    "Romion Health"
  ],
  "id": "P2021",
  "slug": "deepct",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/deepct.json"
  }
}