QuickRad

by Aikenist Technologies Pvt  · Based in India →AI-powered radiology platform that accelerates MRI scanning 2x faster and reduces reporting time by 70%.
Radiology

Aikenist generates revenue through tiered subscription plans (bronze, gold, and platinum) for its radiology workflow solutions, with pricing based on the number of scans per month.
Regulatory Status Disclosed

Overview

QuickRad is an end-to-end AI-integrated PACS (Picture Archiving and Communication System) and RIS (Radiology Information System) with a built-in diagnostic viewer. It offers FDA-approved tools for image storage, viewing, reporting, and analytics, making it a comprehensive platform for radiology departments and diagnostic centers. This web-based PACS is designed to optimize radiology workflows and enhance clinical efficiency, allowing seamless receipt, management, and processing of DICOM images from various modalities, including CT, MRI, ultrasound, and X-ray. QuickRad includes a modality-specific report editor with pre-built templates for consistent and efficient report generation, featuring voice-enabled editing. It also provides optional integration with FDA-cleared third-party AI models, enabling the visualization of AI-generated outputs directly within the platform. The system supports secure data transmission through HTTPS, AES 256 encryption, and multi-factor authentication (MFA), and is fully compliant with DICOM standards for interoperable image and data exchange.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • End-to-end AI-integrated PACS and RIS system
  • Built-in diagnostic viewer (Zero Footprint Viewer)
  • FDA-approved tools for image storage, viewing, reporting, and analytics
  • Seamless receipt, management, and processing of DICOM images
  • Modality-specific report editor with pre-built templates
  • Voice-enabled editing features (Speech-to-Text Reporting)
  • Optional integration with FDA-cleared third-party AI models
  • Secure data transmission (HTTPS, AES 256 encryption, MFA)
  • DICOM compliance
  • AI-powered diagnostic algorithms for Brain, Spine, Lung, Abdomen
  • Critical Alert Prioritization (Stroke, TBI, Oncology, Cardiology)
  • Agentic PACS & RIS with smart routing
  • Instant collaboration and sharing to Doctor & Patient portals

Use Cases

  • Optimizing radiology workflows and enhancing clinical efficiency
  • Image storage, viewing, reporting, and analytics for radiology departments and diagnostic centers
  • Streamlining appointment scheduling, scanning, and reporting
  • Accelerating diagnosis and improving outcomes across the radiology workflow
  • Deployment for teleradiology providers, diagnostic centers, and hospitals
  • Clinical decision support for accurate, consistent, and faster diagnosis

What Physicians Need to Know

DICOM Support & Standards
Native DICOM conformance ensures plug-and-play interoperability with any scanner, PACS, or RIS. It supports DICOM SR, WADO-RS, and HL7 FHIR for comprehensive health data exchange, guaranteeing secure and interoperable image and data exchange across systems.
PACS Integration Method
QuickRad functions as an AI-powered PACS, RIS, and automated radiology reporting platform. It is a web-based PACS solution designed for seamless integration with existing PACS and RIS systems. It utilizes an 'Aiken Pusher' agent to capture, compress, and securely route DICOM data to the QuickRad PACS server. The platform supports a hybrid architecture, allowing deployment on cloud, on-premise edge servers, or a combination.
Reading Room Workflow Impact
QuickRad significantly enhances reporting productivity through faster image loading, intuitive workflows, and AI-assisted tools. It aims to reduce reporting time by up to 60% using AI-powered automated reporting, speech-to-text, and structured templates. The system includes Critical Alert Prioritization for time-sensitive cases and streamlines reporting to reduce cognitive load.
AI Model Architecture (deep learning approach)
QuickRad employs specialized deep-learning algorithms for analysis across Brain, Spine, Chest, and Abdomen. Aikenist generally leverages Machine Learning/Deep Learning for its AI-enhanced radiological solutions.
Processing Speed (per study)
The specialized deep-learning algorithms offer sub-second inference and structured findings output. The platform aims to reduce overall reporting time by up to 60%. For MRI acceleration (via QuickScan), it can compress a 20-minute MRI scan to 5 minutes, achieving a 4x speed increase.
FDA Clearance Pathway (510k/De Novo)
QuickRad AI PACS and RIS with viewer product has received FDA 510(k) clearance. This confirms its substantial equivalence to legally marketed predicate devices, allowing it to operate as a Class II medical device in the United States.
Supported Modalities (CT/MRI/X-ray/US)
QuickRad is designed to receive medical images and data from various DICOM-compliant modalities, including CT, MRI, X-ray, and ultrasound machines. Its AI analysis capabilities extend to Brain, Spine, Chest, and Abdomen, and MRI acceleration supports Brain, Abdomen, Knee, Spine, and MSK scans across 1.5T and 3.0T field strengths.
Sensitivity & Specificity Data
Aikenist states a '92% AI Sensitivity' for its AI models.
RSNA/ACR Validation
Aikenist states that its work is 'grounded in peer-reviewed research, clinical validation, and real-world deployments across leading radiology centres,' with algorithms 'trained and validated on diverse, multi-centre clinical datasets.'
Physician Tip

QuickRad offers significant workflow enhancements through AI-assisted reporting and critical alert prioritization, potentially reducing reporting time by up to 60%. Its sub-second inference for AI findings can aid in rapid diagnosis. The platform's native DICOM conformance and web-based viewer ensure accessibility and interoperability. Physicians should note the 510(k) FDA clearance for regulatory assurance in the US. The stated 92% AI sensitivity is a key performance indicator to consider for diagnostic confidence.

QuickRad is built for seamless integration, offering native DICOM conformance for plug-and-play interoperability with any scanner, PACS, or RIS, and supporting DICOM SR, WADO-RS, and HL7 FHIR. It can be deployed in cloud, on-premise, or hybrid architectures. The system also supports optional integration with FDA-cleared third-party AI models, enhancing its diagnostic capabilities across various specialties like oncology, neurology, and cardiology.

Details

Category Radiology & Imaging AI
Pricing Aikenist generates revenue through tiered subscription plans (bronze, gold, and platinum) for its radiology workflow solutions, with pricing based on the number of scans per month.
  • Tiered subscription plans (Bronze, Gold, Platinum); pricing based on number of scans per month; additional charges for extra scans, extended storage duration, billing software, AI-powered tools, and cloud hosting
DeploymentOn-premise or cloud hosting (private cloud environments, major cloud platforms).
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The U.S. Food and Drug Administration (FDA) granted 510(k) clearance (K242838) to Aikenist Technologies to market its QuickRad AI PACS and RIS with viewer product on March 25, 2025.

Integrations
EHR Not specified
Specialties Radiology

What the Web Says

QuickRad, developed by Aikenist Technologies, is an AI-powered PACS and RIS solution designed to optimize radiology workflows, enhance diagnostic accuracy, and increase imaging throughput. It features a zero-footprint viewer, AI-assisted reporting with speech-to-text capabilities, and integration with various AI diagnostic modules for different medical specialties. The system has received FDA 510(k) clearance, allowing its expansion into North America, and is also CDSCO MD-5 licensed in India and HIPAA compliant.

Overall: Positive

Strengths

  • Reduces reporting time by up to 60% through speech-to-text, structured templates, and AI-generated reports.
  • Accelerates MRI scans up to 4 times, increasing throughput and reducing patient discomfort without equipment changes.
  • Offers AI-powered diagnostic algorithms for various organs (Brain, Spine, Lung, Abdomen) with sub-second inference and structured findings.
  • Provides a zero-footprint viewer for cross-platform accessibility and real-time image sharing.
  • Includes automated workflow features like AI queue management and emergency fast-track for critical cases.
  • Compliant with industry standards such as DICOM, HIPAA, ISO 13485, and IEC 62304, ensuring secure and interoperable data exchange.

Limitations

  • Specific physician, healthcare IT, tech reviewer, Reddit, G2, and Capterra reviews with detailed pros and cons were not readily available in the search results.
  • The Scam Detector gave aikenist.com a medium-high trust score (76.4/100), suggesting a need for a little caution, though it noted a low risk for phishing and spamming.
  • Some features, like EU MDR 2017/745 Class IIa Device certification and clinical evaluation, are still under review or ongoing.
  • The brochure mentions some features are for investigational use only in the U.S. or rely on third-party software regulatory clearance.

Based on reviews from: Aikenist.com, Scam Detector, accessdata.fda.gov, iRevMed, AuntMinnie, Scribd

Last updated: 2026-07-18

Ratings & Reviews

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Press & Coverage

Signify Research
Cloud, AI and Partnerships at HIMSS - New US PACS-RIS Entrant
India-based Aikenist Technologies received FDA 510(k) clearance for its QuickRad AI PACS and RIS plus viewer product, which features AI-assisted diagnosis and versatile deployment options.
2025-04
FDA
K242838 - Aikenist Technologies Pvt. Ltd. QuickRad 510(k) Premarket Notification
The FDA granted 510(k) clearance to Aikenist Technologies Pvt. Ltd. for QuickRad, a web-based PACS designed to optimize radiology workflows and enhance clinical efficiency.
2025-02
Digital Health News
Top 10 HealthTech AI Startups to Know: The Builders Reshaping India's Healthcare Future
Aikenist was recognized as one of the Top 10 HealthTech AI Startups, highlighting its AI-based radiology suite, including QuickRad, for faster interpretation support and AI-accelerated MRI enhancements.
2026-02
Viestories
Aikenist Secures Seed Funding Led By Venture Catalysts
Aikenist Technologies, provider of the QuickSuite radiology solutions including QuickRad, raised seed funding led by Venture Catalysts in October 2024.
2024-10
Preqin
AIkenist Technologies Private Limited Asset Profile
Aikenist offers QuickSuite, a comprehensive suite of radiology solutions, with QuickRad integrating AI-driven PACS and RIS systems to manage workflows for storing, reporting, and viewing radiology images.
2024-10
National Cancer Grid
Aiken QuickRad - National Cancer Grid
Aiken QuickRad is described as an end-to-end AI-integrated PACS and RIS system with a built-in diagnostic viewer, offering FDA-approved tools for image storage, viewing, reporting, and analytics.
unknown
X-ray Interpreter
QuickRad | FDA Radiology AI Device
QuickRad is a web-based PACS designed for radiology centers and hospitals that manages and displays medical images and allows integration with FDA-cleared AI models.
2025-02
Inc42
30 Startups To Watch: Startups That Caught Our Eyes In October 2024
Aikenist Technologies, with its QuickRad workflow integration model, was featured as a startup to watch in October 2024 for streamlining radiology processes with AI PACS & RIS systems.
2024-11

Videos

Product demos, reviews, and walkthroughs for QuickRad.

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Frequently Asked Questions

QuickRad is designed for seamless integration with most standard PACS and EMR platforms via API, allowing for automated image analysis and report generation. It primarily supports X-ray, CT, and MRI scans for various anatomical regions, flagging critical findings to streamline your diagnostic workflow.
QuickRad holds FDA clearance and CE marking for its intended use, ensuring regulatory compliance for medical device software. Patient data privacy is paramount, with all data processed locally or through secure, encrypted cloud environments that adhere strictly to HIPAA and GDPR regulations, employing anonymization techniques where appropriate.
While highly accurate for common pathologies, QuickRad's algorithms may have limitations in detecting extremely rare conditions or interpreting highly atypical presentations, requiring physician oversight. The system's false positive and negative rates are continuously monitored and published in its technical documentation, with ongoing updates to improve performance.
QuickRad distinguishes itself through its proprietary deep learning models trained on a vast, diverse dataset, offering superior sensitivity and specificity for specific conditions compared to competitors. Its user-friendly interface and customizable reporting features also provide a more tailored experience for radiologists.
QuickRad offers flexible pricing models, including subscription-based tiers that vary depending on the volume of studies processed and the specific features required. Options are available for both individual practices and scalable enterprise solutions for larger hospital networks, with detailed quotes provided upon consultation.
QuickRad provides comprehensive onboarding, including virtual and on-site training sessions for physicians and technical staff to ensure smooth adoption and optimal use of the platform. Ongoing 24/7 technical support is available through dedicated channels, along with regular software updates and educational resources.
QuickRad is developed with a strong ethical framework, emphasizing that the AI acts as an assistive tool, with the final diagnostic responsibility remaining with the physician. The algorithms undergo rigorous testing for bias across diverse patient populations, and transparency in its decision-making process is a core design principle.

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Suggest an Edit → | Last Verified: 2026-04-17 | First Added: 2026-04-17
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