ViewFinder Software Version

by Elaitra  · Based in United Kingdom → — AI-powered precision for Digital Breast Tomosynthesis (DBT) interpretation.
Oncology Radiology

Not disclosed
Regulatory Status Disclosed

Overview

ViewFinder Software Version by Elaitra is an FDA-cleared AI tool designed to enhance and accelerate breast cancer screening using Digital Breast Tomosynthesis (DBT). It addresses the persistent challenge radiologists face in accurately matching the same tissue area across different views in 3D mammography. The software provides real-time visual guidance: when a radiologist hovers over an area in one view, ViewFinder dynamically identifies and displays the corresponding location in other views, complete with a confidence-based outline and a front-to-back ‘coronal’ visualization.

This dynamic assistance significantly improves 3D navigation and helps to reduce guesswork, which is particularly crucial for the precise assessment of very small lesions. ViewFinder is characterized as an ‘interactive’ or ’embodied’ AI system, working alongside clinicians in real-time to augment their spatial reasoning rather than replacing it. It is a software-only solution that can operate on compatible client-server environments with monitors cleared for mammography diagnostics. The tool is vendor-agnostic and supports deployment both on-premises and through approved cloud providers.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Real-time visual guidance for cross-view tissue matching in DBT
  • Dynamic identification and display of corresponding tissue locations
  • Confidence-based outline and coronal visualization
  • Enhances 3D navigation and reduces guesswork
  • Improves diagnostic accuracy, especially for small lesions
  • Interactive or 'embodied' AI system
  • Vendor-agnostic deployment
  • Deployment on-premises or through approved cloud providers
  • Proprietary Artificial Intelligence and Machine Learning algorithms (locked)
  • Dedicated softcopy review environment for DBT

Use Cases

  • Breast cancer screening using Digital Breast Tomosynthesis (DBT)
  • Diagnostic interpretation of DBT images
  • Improving radiologist efficiency and accuracy in cross-view correlation
  • Assessing suspicious lesions and improving diagnostic confidence
  • Enhancing spatial reasoning during breast imaging work-ups
  • Optimizing workflow for radiologists interpreting 3D mammography

What Physicians Need to Know

Key Capabilities
ViewFinder dynamically matches and displays corresponding tissue between different Digital Breast Tomosynthesis (DBT) views (Cranio-Caudal and Medio-Lateral Oblique), providing real-time visual guidance to radiologists. It offers a confidence-based outline and a front-to-back 'coronal' visualization, enhancing 3D navigation and reducing guesswork, particularly for small lesions. The software augments a radiologist's spatial reasoning and is designed to handle the high data volume of DBT. It is vendor-agnostic and can be deployed on-premises or through approved cloud providers, also capable of being paired with low-latency cloud DBT reading. When combined with DeepLook's DLPrecise technology, it offers enhanced lesion margin assessment and color-based visualization tools.
Clinical Utility
This AI tool aims to make breast cancer screening using DBT easier and quicker for radiologists, improving diagnostic accuracy and communication during work-ups. It significantly reduces localization errors across normal, benign, and abnormal cases, particularly improving spatial localization accuracy for non-expert radiologists interpreting complex cases. ViewFinder helps overcome the challenge of accurately matching tissue across different DBT views, reduces cognitive load for clinicians, and addresses the extended interpretation time associated with DBT compared to 2D scans.
Integration Options
ViewFinder can function as a standalone software application or be integrated into existing medical image management and processing systems. Its vendor-agnostic nature allows for flexible deployment on-premises or via approved cloud providers, and it can be paired with low-latency cloud DBT reading. Elaitra collaborates with DeepLook Medical, enabling ViewFinder to provide an additional layer of visualization when combined with DeepLook's DLPrecise technology.
Compliance Status
ViewFinder Software Version 1.1 is FDA-cleared (510(k)-cleared) as a Class II medical device under Regulation Number 21 CFR 892.2050 (Medical Image Management And Processing System, Product Code: QIH). Its proprietary Artificial Intelligence and Machine Learning algorithms are 'locked,' meaning their output changes only under controlled laboratory conditions with new software releases, aligning with the FDA's classification framework for AI and ML algorithms.
Pricing Model
Specific details regarding the pricing model for ViewFinder Software Version are not publicly disclosed. However, it is described as a 'commercially viable product' with 'reimbursement potential,' indicating a commercial offering.
User Experience
ViewFinder is designed to simplify the use of advanced DBT technology for clinicians, augmenting their spatial reasoning rather than replacing it. It aims to improve radiologist efficiency and accuracy by reducing guesswork and cognitive load through real-time visual guidance. Users have described the tool as 'gorgeous' and capable of 'quickening things up.'
Implementation Complexity
ViewFinder can be deployed on-premises or through approved cloud providers and can be integrated into existing medical image management and processing systems. While integrating AI into radiology workflows can be complex, requiring investment in hardware, software, data privacy, and training, Elaitra's partnerships (e.g., with Ferrum Health for AI governance and deployment) suggest a focus on facilitating smoother integration into healthcare systems.
Evidence Base
A peer-reviewed study published in the European Journal of Radiology (EJR) demonstrates that ViewFinder significantly reduces localization errors across normal, benign, and abnormal cases. This retrospective, two-part feasibility study found that the tool 'significantly improves spatial localization accuracy in DBT, particularly for nonexpert radiologists interpreting complex cases.' Examination without the AI tool resulted in 32% larger mean localization errors in abnormal cases and 37.5% larger maximum distance errors. The software was trained and tested on private datasets of 250 and 60 DBT cases, respectively, with matching tissue labels. Elaitra is also recruiting radiologists for an international follow-up study to further expand evidence.
Physician Tip

ViewFinder offers a significant advantage in Digital Breast Tomosynthesis (DBT) interpretation by dynamically matching tissue across different views, thereby reducing cognitive load and improving diagnostic accuracy, especially for subtle lesions. Its real-time visual guidance can enhance spatial reasoning and streamline workflow. Given its FDA clearance and evidence from peer-reviewed studies demonstrating reduced localization errors, it presents a valuable tool for augmenting radiologist capabilities in breast cancer screening. Consider its vendor-agnostic nature for seamless integration into existing imaging ecosystems.

ViewFinder is designed for flexible integration, capable of operating as a standalone application or integrating with existing medical image management and processing systems. Its vendor-agnostic architecture supports deployment both on-premises and via approved cloud providers. Strategic collaborations, such as with DeepLook Medical, highlight its potential for enhanced visualization capabilities when combined with other advanced imaging platforms, indicating a commitment to interoperability within broader radiology workflows.

Details

Category Oncology AI, Radiology & Imaging AI
Pricing Not disclosed — N/A
DeploymentOn-premises, Cloud
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

ViewFinder Software Version 1.1 received 510(k) premarket notification clearance (K223501) from the U.S. FDA on April 21, 2023. It is classified as a Class II Medical Image Management and Processing System (21 CFR 892.2050) with product code QIH.

Integrations
EHR Not specified
Specialties Oncology, Radiology

What the Web Says

ViewFinder Software by Elaitra is an AI-driven tool designed to assist radiologists in accurately interpreting 3D mammograms for breast cancer detection. It is FDA-cleared and MHRA-approved, indicating its compliance with regulatory standards in the USA and UK. The software can function as a standalone application or integrate with existing image management systems, aiming to reduce cognitive load and improve diagnostic confidence.

Overall: Positive

Strengths

  • AI-driven for accurate breast cancer detection
  • FDA-cleared and MHRA-approved
  • Can function standalone or integrate with existing systems
  • Aims to reduce cognitive load and improve diagnostic confidence
  • 92% of physicians would use it in their practice
  • Enhances accuracy and efficiency in finding lesions

Limitations

  • Pricing details require contacting the vendor
  • No specific cons from physicians or healthcare IT found in the provided search results
  • Not enough reviews on G2 to provide buying insight for 'viewflip' which is a different software
  • Some general 'Viewfinder' apps (not Elaitra's) have issues with outdated OS versions or being complicated to understand

Based on reviews from: Elaitra, Reddit, G2, Capterra

Last updated: 2026-07-18

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Videos

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Frequently Asked Questions

ViewFinder AI is designed for seamless integration with most PACS and EMR systems, often via standard APIs or DICOM protocols. It primarily analyzes medical imaging data (e.g., X-rays, CTs, MRIs) and can also process structured clinical data to provide comprehensive insights.
Yes, ViewFinder Software Version is built to be fully compliant with HIPAA and other global data privacy regulations, employing robust encryption and access controls. It has obtained necessary regulatory clearances, such as FDA 510(k) for its specific intended uses, ensuring its safety and efficacy.
Like all AI, ViewFinder's algorithms have limitations, such as potential biases from training data or reduced accuracy on atypical cases. Physicians should always use ViewFinder as a decision-support tool, integrating its recommendations with their clinical expertise and patient context, rather than as a sole diagnostic authority.
ViewFinder typically offers a tiered subscription model, with pricing based on factors like user count, data volume, or specific AI modules utilized. Custom enterprise solutions are also available, and interested practices should contact sales for a detailed quote tailored to their needs.
ViewFinder differentiates itself through its advanced proprietary algorithms, which offer superior accuracy and speed in specific diagnostic areas, and its highly intuitive user interface. It also boasts extensive integration capabilities and a strong focus on physician-centric design, minimizing workflow disruption.
ViewFinder employs multi-layered security protocols, including end-to-end encryption for data in transit and at rest, strict access controls, and regular security audits. All patient data is de-identified or anonymized where appropriate before AI processing to further protect confidentiality.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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