ALPHAPOINT IMAGING

by RADLOGICS  · Based in United States → — AI-Powered Image Analysis for Enhanced Radiology Productivity and Patient Outcomes
Oncology Pulmonology Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

RADLogics AlphaPoint Imaging is an AI-powered software solution designed to enhance radiologists’ accuracy and productivity through automated analysis of medical images. The platform leverages advanced machine learning and big data analytics to process and analyze imaging data, automating detection and report generation functions. It integrates seamlessly into existing and customized radiology workflows, including Picture Archiving and Communication Systems (PACS) and reporting systems like Nuance PowerScribe360. AlphaPoint is described as functioning like a “Virtual Resident,” providing smart, meticulous, and fast detection and characterization of findings, and delivering preliminary findings reports within minutes of scan completion. The solution is cloud-based, offering a “zero footprint” deployment model, and is also available for on-premise installation.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered image analysis for radiology
  • Machine learning for automated detection and report generation
  • Seamless integration with PACS and reporting systems (DICOM compliant)
  • Generates preliminary findings reports
  • Cloud-based and on-premise deployment options
  • Lung cancer screening app (Chest CT Scan Module)
  • Pneumothorax detection for Chest X-ray
  • COVID-19 CT and X-ray analysis solutions
  • Retrospective cancer detection from archived imaging data
  • Reduces diagnostics turnaround time

Use Cases

  • Assisting radiologists in CT chest image analysis
  • Automating detection and report generation in radiology workflows
  • Lung cancer screening and nodule characterization
  • Detecting pneumothorax in chest X-rays
  • Triage and management of COVID-19 patients using CT and X-ray
  • Uncovering unidentified cancers by reviewing historical imaging data

What Physicians Need to Know

DICOM Support & Standards
ALPHAPOINT IMAGING processes DICOM data from multiple image modalities, delivering findings, measurements, and key-image summaries directly into existing clinical systems. It adheres to DICOM standards for imaging data format and transfer, which is crucial for radiology AI/ML tasks and interoperability with PACS.
PACS Integration Method
The platform integrates seamlessly with any PACS and popular reporting systems like Nuance PowerScribe360. It is a cloud-based, 'zero footprint solution' designed for quick deployment, either on-premise or via cloud platforms such as Microsoft Azure and AWS. It is compliant with DICOM and HL7 standards for smooth integration with EHR, RIS, and HIS.
Reading Room Workflow Impact
ALPHAPOINT IMAGING acts as a 'Virtual Resident,' providing fast, meticulous detection and characterization of findings within minutes of scan completion, allowing radiologists to focus on diagnosis. It populates preliminary findings and relevant medical records into reports, improving accuracy and saving reading time. A study showed a 30% reduction in report turnaround time (7 minutes per case) for Chest CTs during the COVID-19 pandemic, without negatively impacting interpretation accuracy. The system operates in the background, requiring no new training or workflow changes.
AI Model Architecture (deep learning approach)
The tool utilizes machine learning image analysis, described as a 'machine-learning image analysis solution.' While the original FDA clearance was for machine learning, the system has been marketed as providing computer-assisted detection (CADe) functionality using machine learning algorithms. Deep learning, a subset of machine learning, employs artificial neural networks, typically convolutional neural networks (CNNs), to extract features from imaging data.
Processing Speed (per study)
Findings are delivered to radiologists 'within minutes of scan completion.' A study indicated that the AI-powered solution reduced report turnaround time by an average of 30%, equivalent to 7 minutes per case, for Chest CT scans.
FDA Clearance Pathway (510k/De Novo)
The ALPHAPOINT platform and Chest CT Scan Module received U.S. FDA 510(k) clearance (K120161) in 2012. The original clearance was for review, analysis, and interchange of CT chest images to assist medical professionals in image analysis, not as a primary interpretation. In 2018, the FDA issued a warning letter to RadLogics for marketing AlphaPoint with computer-assisted detection (CADe) claims that exceeded the scope of its original 510(k) clearance, requiring a new premarket submission for such functionalities.
Supported Modalities (CT/MRI/X-ray/US)
Initially cleared for Chest CT scans, the platform processes DICOM data from multiple image modalities including CT, X-ray, MRI, and PET-CT. Work-in-progress applications for Head/Neck CT and X-ray modules were previewed, and the company has pursued or is pursuing FDA clearance for chest X-ray and MRI packages. The current focus is on lung cancer detection using archived Chest CTs.
RSNA/ACR Validation
ALPHAPOINT IMAGING was featured at the RSNA Centennial Showcase in 2015 and demonstrated accurate detection and characterization of lung nodules in compliance with ACR's Lung-RADS protocol. RadLogics was also named Aunt Minnie's 'Best New Radiology Vendor' for 2015.
Physician Tip

Leverage ALPHAPOINT IMAGING as a 'virtual resident' to streamline preliminary findings and reduce reading time, allowing more focus on complex diagnoses. Utilize the AI's 'second pair of eyes' for increased confidence and to minimize the risk of missing critical findings. Always maintain human oversight and verify AI-generated reports, as the tool is intended to assist, not replace, the radiologist. The quantified measurements and key images provided by the AI can enhance the value and consistency of your reports. The system's ability to integrate with EMRs can provide valuable contextual patient information.

ALPHAPOINT IMAGING offers flexible deployment as a cloud-based (Microsoft Azure, AWS) or on-premise solution with a 'zero footprint,' eliminating the need for local installation. It ensures seamless integration with existing PACS and popular reporting systems like Nuance PowerScribe360. Compliance with DICOM and HL7 standards facilitates interoperability with EHR, RIS, and HIS, ensuring data exchange and workflow continuity without disruption. The platform is designed to operate quietly in the background, surfacing results within existing clinical workflows.

Details

Category Radiology & Imaging AI
Pricing Contact for pricing — SaaS subscription model; no upfront installation costs; free trial implied
DeploymentCloud, On-premise
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

RADLogics received initial FDA 510(k) clearance (K120161) in 2012 for AlphaPoint Imaging Software for review, analysis, and interchange of CT chest images to assist medical professionals in image analysis. Subsequently, the company obtained FDA 510(k) clearance in September 2020 for its AI-powered chest X-ray pneumothorax application, and its CT and X-ray solutions have been made available under FDA guidance for COVID-19 patient triage and management.

Integrations
EHR Not specified
Specialties Oncology, Pulmonology, Radiology

Ratings & Reviews

Rate ALPHAPOINT IMAGING

Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

RADLogics Press Release
RADLogics Showcases Virtual Resident Imaging Analysis Platform at RSNA 2015
At RSNA 2015, RADLogics showcased its AlphaPoint machine-learning image analysis solution, which acts as a 'Virtual Resident' to provide fast and accurate detection and characterization of findings, with FDA clearance for its Chest CT Scan Module.
2015-11
Diagnostic Imaging
How Radiologists are Using Machine Learning - Diagnostic Imaging
This article discusses how radiologists are using machine learning, highlighting RADLogics' AlphaPoint software, which uses machine learning to populate preliminary findings in radiology reports and has been shown to improve radiologist efficiency.
2017-04
FDA
RadLogics, Inc. - 515599 - 04/05/2018 - FDA
The FDA issued a warning letter to RadLogics regarding its AlphaPoint software, stating that the company made major changes to the intended use of the device without submitting a new premarket notification, leading to misbranding and adulteration.
2018-05
AuntMinnie
RadLogics to be acquired by Asian investment firms - AuntMinnie
RadLogics announced its acquisition by East Ocean Ventures and Tianjin Dazhen Asset Management, with plans to accelerate R&D and expand sales of its AlphaPoint software (now Virtual Resident) in the U.S. and Asia.
2018-05
Axis Imaging News
RADLogics Gets FDA Clearance for AI Application to Support Chest X-ray Triage
RADLogics received FDA 510(k) clearance for its AI-powered chest X-ray pneumothorax application, designed to flag suspected collapsed lungs for urgent radiologist review and improve efficiency.
2020-09
PRWeb
RADLogics Announces New Advancements and Research in AI-Powered COVID-19 Medical Imaging Solutions
RADLogics announced the latest version of its AI-powered COVID-19 CT algorithm, which has processed hundreds of thousands of cases globally and is available to U.S. hospitals under FDA guidance for patient triage and management.
2020-11
healthcare-in-europe.com
AI-powered Covid-19 solution reduces report turnaround time by 30%
A large-scale study presented at ECR 2021 demonstrated that RADLogics' AI-powered solution for analyzing Chest-CT scans during the COVID-19 pandemic reduced report turnaround time by an average of 30%, or 7 minutes per case.
2021-03
PMC (Peer-Reviewed Journal)
Systematic analysis of the test design and performance of AI/ML-based medical devices approved for triage/detection/diagnosis in the USA and Japan
This systematic analysis of AI/ML-based medical devices approved in the USA and Japan mentions RADLogics Inc. and its CAST X-ray device, approved in April 2020, for triage with reported sensitivity and specificity.
2022-10

Videos

Product demos, reviews, and walkthroughs for ALPHAPOINT IMAGING.

Loading videos...

View all on YouTube

No FAQs available yet for this tool.

Related Tools

ScreenPoint Medical
ScreenPoint Medical
Clinical Decision Support & Reference
ScreenPoint Medical offers Transpara, an AI-powered solution for breast cancer detection and diagnosis in mammography and digital breast tomosynthesis, designed to assist radiologists.
Microsoft Azure AI (with BAA)
Microsoft Azure AI
Clinical Decision Support & Reference
Microsoft Azure AI offers a secure, HIPAA-compliant platform with BAA support for developing and deploying AI solutions across the healthcare industry, from clinical decision support to research.
Google Cloud AI (with BAA)
Google
Clinical Decision Support & Reference
Google Cloud AI provides a powerful suite of machine learning and AI tools developed to help healthcare businesses optimize operations, gain insights from data, and enhance patient care. It offers solutions for improved diagnostics, personalized treatment, workflow automation, and cost optimization, all built on a secure and compliant platform.
AI Orchestrator
GE HealthCare
Practice Management & Scheduling
GE HealthCare's AI Orchestrator integrates and manages AI applications within a healthcare imaging ecosystem to streamline workflows and improve diagnostic accuracy.
AI-enabled Ultrasound Technology (licensed to Butterfly Network)
Butterfly Network
Clinical Decision Support & Reference
An FDA-cleared AI-enabled ultrasound technology that estimates fetal gestational age from standardized 'blind sweep' ultrasound videos, expanding access to essential obstetric care.
4DMedical (Imbio)
4DMedical
Cardiology AI
4DMedical, with its acquisition of Imbio, offers a comprehensive suite of AI-driven medical imaging solutions for chronic lung and cardiothoracic diseases, providing quantitative and personalized insights from X-ray and CT scans.

See all Radiology & Imaging AI tools →

More from RADLogics

AIMI-Triage CXR PTX
RADLogics
Radiology & Imaging AI
RADLogics' AIMI-Triage CXR PTX is an FDA-cleared AI-powered triage tool designed to identify and prioritize chest X-rays with suspected pneumothorax for urgent radiologist review, integrating seamlessly into existing workflows.

View company profile →

Suggest an Edit → | Last Verified: 2026-04-20 | First Added: 2026-04-20
AI Tool Finder
AI-powered search. Results may not be comprehensive.