Behold.ai

Overview

Behold.ai is a company that develops AI-powered diagnostic platforms for medical imaging. Their flagship product, red dot®, is designed to provide rapid and accurate detection of critical conditions in CT and X-ray imaging. The platform aims to support faster clinical decisions and reduce radiologist workload.

Key Features

• red dot® Lung Cancer Detection Platform — Automatically identifies normal chest X-rays and triages potential lung cancer cases for faster clinical decision-making.
• red dot® CTH V1 — Enables 24/7 triage of acute findings and rules out normal CT head exams to support urgent care pathways.
• High Confidence Normal (HCN) Identification — Autonomously reports normal scans, reducing the reporting workload for radiologists.
• Critical Condition Prioritization — Fast-tracks patients with suspected lung cancer or acute CT head abnormalities for immediate review and treatment.
• Integration Capabilities — Designed to seamlessly integrate into existing clinical pathways, such as the NHS lung cancer pathway.
• Regulatory Approvals — Approved by both the FDA and CE, indicating compliance with medical device regulations.

Who It's For

Behold.ai's red dot® platform is designed for healthcare providers, particularly radiology departments and NHS trusts, seeking to improve efficiency and accuracy in diagnostic imaging. It targets institutions facing high volumes of X-ray and CT scans, aiming to reduce backlogs and accelerate the diagnosis of critical conditions like lung cancer and stroke. The solution is also relevant for healthcare systems looking to optimize radiologist workload and reduce outsourcing costs.

Notable Strengths

The platform demonstrates a significant ability to reduce radiologist workload by autonomously reporting a percentage of normal scans, with one study showing a 15% saving in radiologist workload for CXRs. Clinical validation indicates a low error rate for normal chest X-ray reporting (0.33%) compared to consultant radiologists (13.5%). Case studies highlight substantial reductions in waiting times and backlogs, such as reducing a CXR backlog from 4-8 weeks to 3.5 days at an Essex hospital.