Argus AI

by EndoSoft®  · Based in United States → — AI-Driven Procedure Report Writer & Medical Chart Review
Gastroenterology Pathology
Website
Claim this tool
Is this the maker? Claim the company →

Contact for pricing
Regulatory Status Disclosed

Overview

Argus AI by EndoSoft is a vendor-neutral computer-aided clinical decision support software designed to integrate seamlessly with existing endoscopy systems, EHRs, endoscopes, and video processors. It leverages Natural Language Processing (NLP) for real-time, voice-activated documentation during various medical procedures, including GI endoscopy. The tool streamlines procedure reporting, image and video capture, and automatically records quality metrics. While its polyp detection and sizing functionalities are available in some regions, they are explicitly noted as not available in the United States. Argus AI also supports AI-driven chart review and can be enhanced by Argus MedGPT™ for generative AI capabilities in patient data summarization and clinical documentation.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Natural Language Processing (NLP) for real-time documentation
  • Voice-activated image capture and labeling
  • AI-driven chart review
  • Computer-aided polyp detection (CADe) (outside US)
  • Computer-aided polyp sizing (CAPs) (outside US)
  • Integration with existing EHRs, endoscopes, and video processors
  • Automatic recording of quality metrics (e.g., ADR, APC)
  • AI-based automatic speech recognition (ASR) for pathology jar labels
  • Vendor-neutral software
  • Customizable report writing

Use Cases

  • Real-time procedure documentation during endoscopy
  • Automated medical chart review and data summarization
  • Enhancing polyp detection and sizing during GI procedures (outside US)
  • Streamlining image and video capture and management
  • Improving accuracy and efficiency of clinical documentation
  • Supporting clinical decision-making by organizing polyp-related information

What Physicians Need to Know

Clinical Validation Studies
A UK clinical trial initiated in May 2022 is comparing Argus AI to non-AI driven endoscopy, focusing on Adenoma Detection Rate (ADR), precision polyp measurement, and surveillance recall times. Previous trials have indicated a +19% increase in ADR with Argus AI. EndoSoft holds a U.S. patent (US-11923054-B2) for its AI platform that processes speech and video data for documentation and another patent (#10,957,043) for AI systems detecting and sizing lesions. Argus AI is described as pioneering GI artificial intelligence software that detects polyps at a higher rate and sizes them more precisely. Studies suggest AI systems can achieve higher diagnostic performance than experts in differentiating subepithelial lesions (SELs) on EUS images, with one system showing 86.1% accuracy for classifying five types of SELs. AI-assisted EUS has demonstrated high diagnostic accuracy in distinguishing pancreatic ductal adenocarcinoma (AUC of 0.923) and differentiating GISTs from other SELs (AUC of 0.94). A prospective clinical validation study for real-time detection of solid pancreatic masses during endoscopic ultrasonography found AI-EUS performance was not significantly different from conventional EUS performed by experts (97.1% vs. 100%).
Differential Diagnosis Support
Argus AI functions as clinical decision support software within an EMR, organizing information related to polyps for clinicians. It is explicitly stated that Argus AI does not make a diagnosis or direct treatment decisions. However, Argus MedGPTu2122 allows healthcare providers to ask questions within the context of a patient's clinical history, chart, current illness, and treatment, providing precise, context-specific responses to aid in reviewing patient history, understanding current conditions, and planning future care.
Clinical Workflow Integration
Argus AI is a vendor-neutral technology designed to integrate seamlessly with existing EHRs/ERWs, endoscopes, and processors without altering current workflows. It integrates with all leading HIS/EHRs to prevent duplication of effort. The system streamlines documentation during procedures using voice-activated functionality and automatically captures and records quality measures in real-time. Argus MedGPTu2122 integrates with all leading ONC certified HIS/EHR systems. EndoVault, which Argus integrates with, is compliant with HL7 and DICOM visible light worklists and storage. EndoSoft also offers migration of legacy data from other endoscopy software.
Decision Audit Trail
Argus AI documents every aspect of a procedure, including indications, findings, medications, diagnosis, and recommendations, based on what the physician sees and speaks. It intelligently documents and timestamps images, landmarks, and all timed segments of a procedure. The system records, stores, and makes all data available for self-service analytics reports. Argus MedGPTu2122 scans patient data to create a knowledge base, and all dialogues are encrypted and securely stored. General principles for healthcare AI audit trails emphasize tracking user actions, system events, and AI model details, and logging both original AI suggestions and human decisions with rationale for overrides to ensure compliance and transparency.
Physician Tip

Argus AI is a clinical decision support tool for documentation and information organization, not a medical device for diagnosis or treatment decisions. Always exercise your professional judgment and override any recommendations if clinically inappropriate. Utilize its voice-activated documentation and real-time quality metric capture to save time during procedures, allowing you to focus more on patient care. Be aware that polyp detection and sizing functionalities are not available in the United States.

Argus AI is designed to be vendor-neutral, ensuring seamless integration with your existing EHRs/ERWs, endoscopes, and processors without requiring changes to your current workflow. It supports integration with all leading HIS/EHRs, including ONC certified systems, and is compliant with HL7 and DICOM standards through its integration with EndoVault. EndoSoft also facilitates migration of legacy data from various endoscopy software systems.

Details

Category Clinical Decision Support & Reference, Documentation & Scribing, Gastroenterology AI
Pricing Contact for pricing
  • EndoSoft pricing generally falls between $300 and $800/provider/month
  • Implementation costs range from $1,000–$7,000 for small to mid-size clinics and $7,000–$30,000 for complex deployments
  • Data migration is $2,500–$10,000, staff training $1,500–$12,000, and integrations $3,000–$20,000
DeploymentCloud-based, with client server or cloud-hosted options available for EndoSoft products.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Not applicable AI-estimated

Argus® is clinical decision support software and is not intended for use as a medical device. Its polyp detection and sizing functionalities are not available in the United States.
Integrations
EHR Not specified
Specialties Gastroenterology, Pathology

What the Web Says

Argus AI, developed by Endosoft, is an AI-powered platform designed to assist with endoscopy procedures by providing real-time polyp detection and characterization. Reviews suggest it aims to improve diagnostic accuracy and efficiency during colonoscopies.

Overall: Positive

Strengths

  • Real-time polyp detection and characterization
  • Potential to improve diagnostic accuracy for endoscopists
  • Aids in identifying subtle lesions that might be missed
  • May reduce procedure time by streamlining polyp assessment
  • Integration with existing endoscopy systems
  • Focus on improving patient outcomes through early detection

Limitations

  • Limited publicly available detailed physician reviews
  • Specific pricing information is not readily transparent
  • Potential for 'alert fatigue' if too many false positives occur
  • Requires proper training and adaptation by medical staff
  • Reliance on the quality of input video feeds
  • Long-term impact on endoscopist skill development is unknown

Based on reviews from: Endosoft Official Website, Healthcare IT News, Medical Technology Review Sites, Clinical Trial Publications (abstracts), Industry Analyst Reports

Last updated: 2026-08-06

Ratings & Reviews

No reviews yet. Be the first to review this tool!

Rate Argus AI

Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money
No press coverage or publications on file yet. Know of some? Suggest an edit →

Videos

Product demos, reviews, and walkthroughs for Argus AI.

View all on YouTube

Frequently Asked Questions

Argusu00ae AI by EndoSoftu00ae is designed for vendor-neutral integration with existing EHRs, endoscopes, and processors, aiming to enhance workflow without requiring significant changes. It utilizes natural language processing and voice activation for real-time procedure documentation, automatically populating reports and quality metrics. Additionally, Argus MedGPTu2122 integrates with major FHIR-compliant EHR systems to streamline patient chart review processes.
Argus AI assists physicians with intelligent report writing and automatically documents quality metrics during procedures. Its Argus MedGPTu2122 tool helps in generating summarized medical records for efficient patient chart review. For surgical applications, Argus.ai offers 3D mixed reality assistance for precise surgical planning, real-time neuro-navigation, and collaborative visualization using MRI/CT scans.
Argus MedGPTu2122 is categorized as clinical decision support software that operates within an EMR and is not intended to be a medical device for diagnosis or treatment decisions. Generally, AI in healthcare must adhere to regulations like HIPAA to ensure patient data privacy and security, often built on secure platforms. AI tools that directly influence diagnosis or treatment typically require regulatory approvals such as FDA clearance.
For AI-assisted documentation and workflow automation, common alternatives include Nuance DAX/DAX Copilot, Abridge, and Suki. For evidence-based clinical reference and point-of-care support, widely used options are UpToDate, DynaMed, and BMJ Best Practice. Other comprehensive clinical decision support platforms include Elsevier ClinicalKey and Epic CDS tools.
Specific pricing for Argus AI is not publicly detailed in the search results. However, AI solutions for clinical documentation generally have implementation costs ranging from $30,000 to $120,000, plus ongoing costs of $1,000-$3,000 per provider per month. The overall cost of implementing AI in healthcare varies significantly based on the specific use case, data readiness, and integration requirements, with diagnostic AI systems potentially costing between $50,000 and $300,000.
A significant limitation of AI in clinical practice is its inability to synthesize medical facts with ethical considerations, family dynamics, or psychosocial context, and it may lack real-time awareness without deep integration. AI models can also inherit biases from their training data, potentially misinterpret conflicting information, and their reasoning may not always be transparent, which raises concerns about accountability. Therefore, clinicians must always critically review and edit AI-generated outputs, treating them as drafts rather than definitive conclusions, and prioritize their own clinical judgment.

Compare Argus AI

VS
iatroX vs Argus AI
Clinical Decision Support & Reference Adjacent · 65/100
iatroX is primarily a free AI-powered clinical reference and learning platform, offering instant answers from UK national guidance, adaptive questioning for exam revision, and brainstorming tools for clinical…
VS
OpenEvidence vs Argus AI
Clinical Decision Support & Reference Adjacent · 65/100
OpenEvidence is a broad clinical decision support platform that provides evidence-based answers from a wide range of medical literature and assists with general clinical documentation. Argus AI, while…
VS
Heidi Health vs Argus AI
Clinical Decision Support & Reference Adjacent · 65/100
Heidi Health and Argus AI both offer AI-powered clinical documentation and decision support, making them adjacent competitors. Heidi Health focuses on being a comprehensive AI medical scribe and…
VS
ChatGPT vs Argus AI
Clinical Decision Support & Reference Adjacent · 65/100
ChatGPT for Healthcare is a broad, general-purpose AI assistant designed to support various clinical and administrative workflows across many specialties, including clinical decision support, documentation, and patient communication.…

Related Tools

Cortex
Cortex
Clinical Decision Support & Reference
Cortex Workspace is a secure, HIPAA-compliant AI platform designed to streamline healthcare workflows and enhance decision-making for physicians.
Starts free, then $29/month for individual plan (save 10% annually). other plans: enthusiast ($99/month), business ($349/month), enterprise (contact sales).
SureMediks ProView
SureMediks (Rasimo Systems, LLC)
Clinical Decision Support & Reference
SureMediks is an AI-powered clinical decision support and metabolic health platform that automates care workflows for specialists, providing AI-generated patient summaries, automated chart review, and real-time biometric alerts.
SOAP Health
SOAP Health
Clinical Decision Support & Reference
SOAP Health is a Florida-based startup transforming patient intake with AI-powered diagnosis, offering a comprehensive solution that improves diagnosis accuracy and empowers patients and physicians.
Oxipit ChestLink
Oxipit (part of Sectra group)
Clinical Decision Support & Reference
Oxipit ChestLink is the world's first CE Class IIb-certified autonomous AI application for healthy chest X-ray reporting, capable of identifying normal studies with 99.9% sensitivity. It automates the reporting of normal chest X-rays, reducing radiologist workload and improving efficiency.
KATE AI
Mednition
Clinical Decision Support & Reference
KATE AI is a nurse-built clinical decision support tool for emergency departments that analyzes incoming patients in real-time to flag high-risk cases that standard acuity scoring might miss. It has supported over 5,000,000 patient visits, helping emergency teams deliver safer, faster, and more informed care.
Fee-based, not publicly disclosed.
MCG Health
MCG Health
Clinical Decision Support & Reference
MCG Health provides industry-leading evidence-based guidance and technologies to optimize health outcomes, drive operational efficiency, and achieve cost savings. Their solutions are utilized by thousands of hospitals, a majority of U.S. health plans, and various government health programs.
Contact for pricing

See all Clinical Decision Support & Reference tools →

Suggest an Edit → | Last Verified: 2026-05-06 | First Added: 2026-05-06
AI Tool Finder
AI-powered search. Results may not be comprehensive.