Red Dot

by Behold.AI Technologies Limited  · Based in United Kingdom → — The age of SAFE autonomous AI diagnosis is here.
Emergency Medicine Pulmonology Radiology
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Custom pricing available upon request
Regulatory Status Disclosed

Overview

Red Dot is an award-winning, AI-powered diagnostic platform for medical imaging, specifically designed for rapid and accurate detection of critical conditions in chest X-rays and CT head scans. It leverages advanced deep learning algorithms to assist healthcare professionals in the early and accurate detection of conditions such as pneumothorax (collapsed lung), lung cancer, and intracranial hemorrhages. The platform delivers near-instant results to support faster clinical decisions, enhance radiologist workflow, and improve patient care by prioritizing urgent cases and automating the identification of normal scans. It integrates seamlessly with existing hospital systems including PACS, RIS, and EHRs. While the original Behold.AI Technologies Limited underwent liquidation, the intellectual property and assets, including the Red Dot platform, were acquired and relaunched under Behold.ai Global Technologies Limited, continuing to develop and deploy this proven AI technology.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered autonomous diagnosis
  • Rapid detection of critical conditions (lung cancer, pneumothorax, intracranial hemorrhages)
  • Near-instant results for faster clinical decisions
  • Prioritization of urgent cases
  • Auto-reporting of high confidence normal (HCN) exams
  • Integration with PACS, RIS, and EHR systems
  • Heatmap visualization for suspicious areas
  • CQC-certified AI (for UK operations)
  • 24/7 operation

Use Cases

  • Triage of suspected pneumothorax from chest X-rays
  • Early detection and fast-tracking of lung cancer patients
  • Triage of acute findings in CT head scans (e.g., intracranial hemorrhages)
  • Reducing radiologist workload by auto-reporting normal exams
  • Decreasing patient waiting times for critical diagnoses
  • Reducing radiology backlogs and outsourcing costs

What Physicians Need to Know

Stroke Detection Speed
Red Dot is designed for rapid and accurate detection of critical conditions like stroke, delivering near-instant results to support faster clinical decisions. The red dotu00ae CTH algorithm can identify acute infarct (stroke) on non-contrast CT head examinations.
Brain MRI/CT Analysis
The red dotu00ae CTH solution focuses on non-contrast CT head examinations. It can rule out normal CT head exams and identify critical acute findings such as intracranial haemorrhage (ICH) and acute infarct (stroke). The AI operates 24/7, integrated with hospital PACS systems.
Large Vessel Occlusion Detection
While not explicitly named 'LVO Detection', the red dotu00ae CTH algorithm identifies acute infarct (stroke) on CT head scans, which is crucial for the LVO pathway.
Triage Prioritization Speed
A core function of Red Dot is instant triage. It processes CT head scans with a reported processing time of 2.1 seconds for findings like hemorrhage and midline shift. It enables 24/7 triage of acute findings, quickly ruling out normal exams and prioritizing those with ICH and acute infarct for urgent care pathways. Notifications are returned to the RIS or PACS.
Mobile Notification System
The system returns notifications to the RIS or PACS, indicating instant triage. While not explicitly stated as a 'mobile' system, integration with RIS/PACS often facilitates various notification methods.
Physician Tip

For emergency neurology, particularly in suspected stroke or head trauma cases, Red Dot CTH can serve as a valuable AI assistant for rapid initial assessment. Its ability to quickly identify intracranial hemorrhage and acute infarct, coupled with its triage prioritization, can significantly reduce time-to-diagnosis and support faster clinical decision-making. Physicians should leverage its 'rule-out normal' capability to streamline workflows and focus on critical cases, while also utilizing it as a safety net for potentially missed acute findings.

Red Dot integrates seamlessly into existing clinical workflows without requiring additional screens or software. It connects directly with your Radiology Information System (RIS) or Picture Archiving and Communication System (PACS) and processes images at the point of acquisition.

Details

Category Neurology AI, Oncology AI, Radiology & Imaging AI
Pricing Custom pricing available upon request — Per exam charge; custom enterprise solutions
DeploymentIntegrates with hospital PACS/RIS/EHR systems (on-premise integration or cloud-based solution)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Yes AI-estimated

FDA 510(k) clearance (K191556) was granted on February 28, 2020, for the Red Dot device as a radiological computer-assisted triage and notification software system for features suggestive of pneumothorax in PA/AP chest X-rays.
Integrations
EHR Not specified
Specialties Emergency Medicine, Pulmonology, Radiology

Ratings & Reviews

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Press & Coverage

AuntMinnieEurope
Behold.ai wins FDA approval for red dot AI algorithm
Behold.ai received U.S. FDA clearance for its Red Dot AI triage algorithm, which alerts radiologists to pneumothorax on X-rays. The company plans to commercially launch Red Dot in the U.S. later this year, charging on a per-exam basis.
2020-03
BioWorld
Behold.ai secures 510(k) for Red Dot image recognition algorithm
Behold.ai Ltd. secured U.S. FDA 510(k) approval for its Red Dot algorithm to automatically diagnose life-threatening pneumothorax (collapsed lung) from X-rays, providing alerts to radiologists within 30 seconds. The algorithm was trained on over 30,000 chest X-rays and is also CE marked in Europe for lung cancer detection.
2020-03
behold.ai
Behold.ai wins UK's most prestigious life science innovation award
Behold.ai won the Best UK Digital Health Solution at the Prix Galien awards for its Red Dot clinical analysis software, which detects lung cancer from X-rays within 30 seconds. This software helps prioritize patients for further examination and aims to reduce the NHS elective care backlog.
2022-05
GlobeNewswire
behold.ai's red dotu00ae AI algorithm identifies chest X-rays from COVID-19 patients as 'abnormal'
Behold.ai's Red Dot AI algorithm quickly identified 85% of chest X-rays from COVID-19 patients as 'abnormal', potentially speeding up diagnosis and resource allocation. The algorithm's 'instant triage' capability could help manage the increased burden on healthcare systems during the pandemic.
2020-03
Imaging Technology News
behold.ai gets CE Mark Approval for its AI-based chest X-ray diagnosis technology
Behold.ai received CE Mark Class IIa certification in the U.K. and EU for its AI technology that diagnoses chest X-rays as 'normal', potentially saving the NHS over u00a3100m annually. This approval allows the Red Dot platform to speed up detection of suspected COVID-19 cases and address radiology backlogs.
2020-04
accessdata.fda.gov
Behold.AI Technologies Limited February 28, 2020 John J. Smith, M.D., J.D. Regulatory Counsel Hogan Lovells US LPP 555 13th
The FDA determined Behold.ai's Red Dotu2122 device is substantially equivalent to a predicate device for radiological computer-assisted triage and notification of pneumothorax on chest X-rays. The software analyzes images and alerts radiologists, aiming to prioritize cases without altering the original images or removing them from the standard workflow.
2020-02
Behold.ai
Case study: red dotu00ae CT Head Day and Night reporting
Behold.ai's Red Dotu00ae CT Head (CTH) solution effectively detects and triages patients with acute CT head findings like intracranial hemorrhage and acute infarct, and can rule out normal examinations with a lower miss rate than expert clinicians. This solution aims to replace out-of-hour reporting services and improve clinical accuracy and patient prioritization.
unknown
PMC
A Systematic Review: The Role of Artificial Intelligence in Lung Cancer Screening in Detecting Lung Nodules on Chest X-Rays
A systematic review of articles from 2020-2024 highlights that Behold.ai's Red Dot software for lung nodule detection on chest X-rays shows promising diagnostic accuracy. AI-assisted approaches generally improve sensitivity and can help address disparities in lung cancer screening.
2025-01

Videos

Product demos, reviews, and walkthroughs for Red Dot.

View all on YouTube

Frequently Asked Questions

Red Dot is designed with API compatibility to seamlessly integrate with most major EHR platforms, allowing for direct data exchange. It typically operates as a background decision support tool, providing insights within your existing patient charts without requiring a separate interface.
Red Dot has received relevant regulatory clearances for its intended use as a medical device. It employs robust encryption, de-identification protocols, and adheres strictly to HIPAA, GDPR, and other relevant data privacy regulations to protect patient information.
While highly accurate, Red Dot's diagnostic capabilities are limited to its validated datasets and may show reduced performance in rare diseases or highly atypical presentations. It is intended as a decision support tool and does not replace clinical judgment or comprehensive human evaluation.
Red Dot typically offers a tiered subscription model, with pricing based on user volume, features accessed, and integration complexity. Options range from individual practitioner licenses to enterprise-level agreements, often including a free trial period.
Red Dot distinguishes itself through its proprietary explainable AI interface, specific disease focus, and superior predictive analytics, aiming to provide more transparent insights. It offers a higher degree of customization compared to many general-purpose AI solutions.
Comprehensive onboarding training is provided, including webinars, in-person sessions, and detailed user manuals. Ongoing technical support, clinical consultation, and regular software updates are also part of the service package to ensure optimal utilization.
As a decision support tool, Red Dot's recommendations are assistive, and the ultimate responsibility for patient care and outcomes remains with the treating physician. Our terms of service outline the shared responsibilities and limitations of liability, emphasizing the physician's role in clinical judgment.

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Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
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