RadioLens

by Synapsica  · Based in India → — AI-enabled automation of diagnostic radiology workflow and reporting.
Radiology
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Regulatory Status Disclosed

Overview

RadioLens by Synapsica is an innovative, AI-powered Radiology Information System (RIS) and Picture Archiving and Communication System (PACS) solution designed to revolutionize diagnostic radiology workflows. It automates both clinical and back-office operations, significantly reducing manual intervention and improving efficiency.

The platform offers fast image uploads and downloads, along with a lightweight DICOM viewer that allows radiologists to access and review cases from various devices, including mobile. RadioLens provides AI-enabled quantitative and qualitative actionable insights, which enhance communication between radiologists and referring clinicians and aid in well-informed decision-making.

Key functionalities include intelligent reporting templates that help radiologists save time and minimize errors, and a customizable unified worklist backed by AI to prioritize cases based on risk scores or service levels. RadioLens integrates with Synapsica’s specialized AI reporting assistants like Spindle (for MRI Spine) and SpindleX (for stress X-rays of the spine), which generate preliminary reports with detailed measurements and characterization of degenerative disc diseases. It also supports automated detection of bad quality scans and preliminary report generation for common modalities.

Deployed in over 600 locations globally and handling over 1 million cases annually, RadioLens aims to address challenges such as radiologist shortages and improve diagnostic accuracy and turnaround times by up to 80%. It is a cloud-based solution, offering users an operations dashboard accessible from anywhere, and is designed for seamless integration with existing PACS and Hospital Information Systems (HIS).

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-enabled RIS/PACS solution
  • Fast image uploads and downloads
  • Lightweight DICOM Viewer accessible on mobile devices
  • AI-enabled quantitative and qualitative actionable insights
  • Intelligent reporting templates and automated report generation
  • Automated assignments for workload optimization
  • Customizable unified worklist with risk-based case prioritization
  • Integration with AI reporting assistants (Spindle, SpindleX, Crescent)
  • Automated detection of bad quality scans
  • Business analytics module for tracking cases and workload

Use Cases

  • Automating diagnostic radiology workflows
  • Improving reporting speed and accuracy for radiologists
  • Enhancing communication with referring clinicians and insurance providers
  • Optimizing radiologist workload and reducing burnout
  • Facilitating teleradiology and remote reporting
  • Improving access to quality healthcare in underserved areas

What Physicians Need to Know

Evidence Base
RadioLens leverages AI, computer vision, and deep learning for diagnostic assistance across X-Ray, CT, and MRI scans. Its AI algorithms are trained to achieve up to 99% accurate assessments. The system provides objective evidence of disease with illustrative annotated images, and specialized AI tools like Spindle (MRI Spine), SpindleX (stress X-Rays of the spine), and Crescent (Chest X-Rays) automate reporting and quantify abnormalities.
Clinical Validation Studies
Synapsica's AI algorithms are reported to provide up to 99% accurate assessments. RadioLens is utilized by over 250+ doctors across 500+ hospitals, diagnostic, and teleradiology centers, handling over 1 million cases annually across 15+ countries. Synapsica's inclusion in GE Healthcare's Edison Programme further indicates industry recognition.
Alert Fatigue Management
RadioLens contributes to managing alert fatigue by offering a customizable unified worklist that helps radiologists prioritize cases based on risk scores or service levels. It also includes intelligent reporting templates and shorthands to reduce typing time and potential errors, thereby lessening cognitive load.
Override Rate Data
Specific override rate data for RadioLens alerts are not publicly detailed in the provided information.
Differential Diagnosis Support
The tool provides AI-enabled quantitative and qualitative actionable insights, generating objective evidence of disease and annotated images that highlight the exact location and extent of pathology. Its AI reporting assistants create preliminary reports with necessary measurements and characterizations of diseases, aiding in differential diagnosis.
Guideline Update Frequency
Information regarding the specific update frequency for RadioLens's integrated guidelines or AI algorithms is not explicitly provided. Continuous monitoring and updates are generally crucial for AI models in radiology to maintain accuracy and minimize bias.
Clinical Workflow Integration
RadioLens is designed as an AI-first PACS and radiology workflow solution, ensuring seamless integration with existing Picture Archiving and Communication Systems (PACS) and Hospital Information Systems (HIS). It supports HL7 and is HIPAA compliant. Radiologists can quickly edit AI results or import them into reports with a single click, benefiting from automated assignments for workload optimization and intelligent reporting templates. The cloud-based platform enables remote access for reading, analysis, and reporting.
Decision Audit Trail
RadioLens includes a business analytics module that allows tracking of overall cases, case status, radiologist workload, and study modality distribution, providing a level of operational oversight and auditing.
Physician Tip

To maximize the benefits of RadioLens, physicians should actively leverage its AI-generated preliminary reports and annotated images to enhance diagnostic accuracy and efficiency, allowing more focus on complex cases. Utilize the customizable worklist and risk-based prioritization features to effectively manage workload and mitigate alert fatigue. Embrace the intelligent reporting templates and macros for streamlined and consistent report generation. The cloud-based access facilitates flexible and remote reporting, improving workflow adaptability. While AI provides valuable insights, always integrate these with your clinical judgment, especially for nuanced diagnoses.

RadioLens is built for seamless integration into existing healthcare IT infrastructures, specifically PACS and HIS, ensuring interoperability. Its compliance with HL7 and HIPAA standards underscores its capability for secure and efficient data exchange within diverse clinical environments. The cloud-native architecture further enhances its integration flexibility and accessibility.

Details

Category Clinical Decision Support & Reference, Documentation & Scribing, Radiology & Imaging AI
Pricing Contact for pricing — Yearly; Monthly; Onetime (Perpetual License)
DeploymentCloud Hosted; On-Premise; Hybrid
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Yes AI-estimated

Synapsica's integrated AI reporting assistant, SpindleX for X-ray spine, has planned 510(k) clearance (K222174 on 03/28/2023), indicating regulatory approval for components within the RadioLens ecosystem.
Integrations
EHR Not specified
Specialties Radiology

Ratings & Reviews

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

Press & Coverage

Signalbase
Synapsica Secures $4.2M Series
Synapsica secured $4.2 million in a Series A funding round to advance its AI-first PACS and radiology workflow solutions, including RADIOLens, aiming to empower radiologists with faster, more efficient, and evidence-based reporting.
2026-03
NITI Frontier Tech Repository
Reimagining Radiology: Faster, Smarter Diagnostics With AI
This article highlights Synapsica's role in revolutionizing radiology in India with AI-powered solutions like Radiolens, which automates diagnostic processes and significantly reduces turnaround times, especially benefiting rural areas with radiologist shortages.
2025-06
YourStory
Synapsica lays off 30% staff month after CEO, COO detained in fraud probe
Synapsica laid off approximately 30% of its workforce following the detention of its CEO and COO in a financial fraud investigation, citing market conditions and a need for restructuring.
2022-10
YouTube
Radiology PACS Software by Synapsica - RADIOLens - YouTube
This video showcases RADIOLens as an AI-integrated PACS workflow solution by Synapsica, emphasizing its intuitive viewing protocols, customizable templates, and business analytics module for efficient radiology reporting across 15+ countries.
2022-08
BioSpectrum India
AI radiology startup Synapsica partners with Aarthi Scans and Labs
Synapsica partnered with Aarthi Scans and Labs to deploy its AI assistant 'Spindle' for automated preliminary reporting of spine MRIs, aiming to reduce radiologists' time by 70%.
2022-05
The Better India
Innovation Helps Radiologists Read MRIs in Under a Minute
Synapsica's RadioLens is highlighted as a unique radiology workflow automation solution that integrates AI for clinical reading, triaging, and interactive report generation, serving over three lakh cases from rural areas.
2022-05
The Financial Express
Artificial Intelligence can significantly improve radiology reporting: Meenkashi Singh, Synapsica
Meenakshi Singh, CEO of Synapsica, discusses how their AI in Radiology company addresses the shortage of radiologists in India by automating a suite of pathologies, making clinical reporting more efficient and reducing radiologist burnout.
2022-02
Express Healthcare
Synapsica partners with GenWorks Health
Synapsica partnered with GenWorks Health to promote and distribute its AI-enabled PACS radiology workflow solution 'Radiolens' across India, aiming to expand its reach to over 300 tier 2 and 3 towns.
2021-12

Videos

Product demos, reviews, and walkthroughs for RadioLens.

View all on YouTube

Frequently Asked Questions

RADIOLens is an AI-enabled PACS radiology solution designed for seamless integration with existing PACS and EHR systems, often configurable in less than 15 minutes. It supports intuitive viewing protocols for various modalities including X-ray, MRI, and CT, streamlining diagnostic workflows and enabling remote reporting.
Yes, RADIOLens is fully HIPAA and DICOM compliant, employing end-to-end encryption and secure data handling practices to protect sensitive patient information. It adheres to robust security features to comply with healthcare regulations and ensures data is processed within authorized and secure environments.
While RADIOLens is an AI-enabled PACS solution that makes diagnostic workflows smoother and creates preliminary reports, the specific FDA clearance status for its AI diagnostic features is not explicitly detailed in the provided information. Generally, AI radiology analysis tools require FDA clearance for clinical use, and the FDA maintains strict oversight over such devices.
RADIOLens's AI assists by detecting bad quality scans and creating preliminary reports for some common modalities, and it offers AI-enabled case segregation based on risk scores. However, AI in radiology generally has limitations in distinguishing between infectious and noninfectious conditions, and its output should always be augmented by comprehensive clinical judgment. User reviews also suggest it may be 'not great for hospital based system' compared to tele-reporting and 'Non compatible with iPhone'.
Several alternatives to RADIOLens exist, including other AI-enabled PACS solutions and radiology workflow tools. Notable competitors and alternatives include ProtonPACS, Medicai, Intelerad, Dicom Systems Unifier Platform, and NextGen Enterprise. Other AI radiology analysis tools like Rad AI, Aidoc, Annalise.ai, and Zebra Medical Vision also offer various diagnostic and workflow enhancements.
RADIOLens typically offers a subscription-based pricing model, with options for yearly, monthly, or one-time (perpetual license) payments. While a 'Basic USD 0.00 Per Month' plan is mentioned, specific pricing details often require direct contact with the vendor, and free demos are available.
RADIOLens offers AI features such as automated normal/abnormal report segregation for Chest X-rays and automated vertebral labeling and CCAP measurement for MRI Spine. It also provides intelligent reporting templates that auto-match to studies based on patient gender and modality, reducing reporting time. While direct customization for specific pathologies beyond its core offerings isn't explicitly detailed, its AI-enabled worklist prioritization suggests some adaptability.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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