uAI Portal

by Shanghai United Imaging Intelligence Co.  · Based in China →AI-driven platform for advanced medical imaging and surgical planning.
Neurosurgery Orthopedics Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

uAI Portal, developed by Shanghai United Imaging Intelligence Co., is a comprehensive AI-driven platform designed to enhance medical imaging workflows, preoperative planning, and clinical research. It integrates artificial intelligence to provide clinicians with advanced 3D preoperative planning applications tailored for various surgeries, including thoracic, hepatobiliary, and urological procedures.

The platform features one-click functionality for diagnostic-level 3D reconstruction of lesions and organs, coupled with gesture-controlled 3D visualization that allows users to interact with virtual reality models without the need for specialized goggles. The uAI Clinical Portal (uCP) serves as a unified platform, comprising more than 60 AI applications that span multiple imaging modalities and key disease areas such as neuroradiology, cardiovascular, and oncology.

For research, the uAI Research Portal offers efficient data management, advanced research capabilities, versatile annotation tools, radiomics analysis, and convenient deep learning tools, covering biomedical research from diagnosis to prognosis. The platform also includes specialized AI agents, such as uAI Insight, an Imaging-to-Report AI agent that integrates clinical reasoning into reporting, capable of detecting numerous thoracic and neurological findings from single scans and generating structured preliminary reports.

Specific applications within the uAI ecosystem include uAI Easy Triage, which assists radiologists by flagging suspected intracranial hemorrhage (ICH) in non-contrast head CT images, and uAI-Discover applications for detecting rib fractures and calculating coronary artery calcium scores. Furthermore, uAI MERITS is a next-generation surgical platform leveraging AI and computer vision to create digital twins for comprehensive healthcare management across preoperative, intraoperative, and postoperative phases. The uAI SAT (Smart Annotation Tool) facilitates interactive intelligent segmentation of medical images, significantly reducing annotation time.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-driven 3D preoperative planning
  • Gesture-controlled 3D visualization
  • One-click diagnostic-level 3D reconstruction
  • AI-driven annotation tools (uAI SAT)
  • Integration with existing medical imaging systems
  • Automated reporting for diagnostic imaging
  • Clinical decision support
  • Radiomics analysis tools
  • Deep learning tools for research
  • AI agents for various clinical workflows

Use Cases

  • Preoperative planning for complex surgeries (thoracic, hepatobiliary, urological)
  • Radiological triage and notification for critical conditions (e.g., intracranial hemorrhage)
  • Detection and analysis of pathologies in medical images (e.g., rib fractures, coronary artery calcifications)
  • Biomedical research and data management
  • Automated generation of structured preliminary reports for diagnostic imaging
  • Surgical navigation and postoperative follow-up assessment

What Physicians Need to Know

Evidence Base
uAI Portal is an AI-driven platform leveraging over 40 AI technologies and 50+ AI-assisted applications across various diseases and medical imaging modalities. It is developed by United Imaging Intelligence, a company focused on biomedical research and providing solutions throughout the diagnostic and treatment process. The 'uAI Research Portal' is utilized for radiomics workflows, including feature extraction and selection using methods like LASSO, indicating a research-backed approach to model development.
Clinical Validation Studies
While uAI Portal offers clinical solutions for neurology, cardiology, chest, and oncology, specific clinical validation studies for the uAI Portal itself are not explicitly detailed in the provided search results. However, the developer, United Imaging Intelligence, is involved in biomedical research to provide comprehensive solutions for clinical workflows. General discussions highlight the importance of prospective, real-time randomized controlled trials for AI models in medical imaging to ensure robust validation across diverse patient populations and imaging devices.
Alert Fatigue Management
The provided information does not explicitly detail how uAI Portal specifically manages alert fatigue. However, AI in general is recognized for its potential to mitigate alert fatigue by intelligently filtering, prioritizing, and automating the remediation of alerts, which is a significant concern in healthcare due to the high volume of non-actionable alarms.
Drug Interaction Checking
The primary focus of uAI Portal is on medical imaging workflows and preoperative planning. The provided search results do not indicate that drug interaction checking is a feature of uAI Portal.
Differential Diagnosis Support
uAI Portal provides clinical decision support and AI-driven preoperative planning applications. United Imaging Intelligence offers over 50 AI-assisted applications covering various diseases and the entire diagnostic and treatment process. While general AI tools can offer differential diagnosis support by analyzing patient symptoms and medical history to suggest possible conditions, specific details on this functionality within uAI Portal are not explicitly provided, with its focus appearing more on imaging analysis and surgical planning.
Guideline Update Frequency
The frequency of guideline updates within uAI Portal is not explicitly stated in the provided information. However, clinical guidelines, such as those from the American Urological Association, are regularly amended and updated to reflect new evidence and approaches.
Clinical Workflow Integration
uAI Portal is designed for seamless integration with existing medical imaging systems and interoperability with other healthcare systems. It supports integration with Electronic Health Records (EHRs) like Epic, Radiology Information Systems (RIS), Hospital Information Systems (HIS), and other clinical decision support systems, aiming to optimize and streamline the entire clinical workflow.
Decision Audit Trail
uAI Portal includes 'Audit trails' as a feature. AI audit trails are comprehensive, immutable records of AI system decisions, inputs, outputs, and changes, crucial for compliance, accountability, and incident investigation. These trails track user actions, configuration changes, and approval steps, and can generate reports for regulatory compliance.
Physician Tip

When utilizing uAI Portal, physicians should view it as a powerful AI-driven assistant primarily for enhancing medical imaging workflows and preoperative planning, particularly in complex surgical areas. Leverage its advanced 3D visualization and AI-driven annotation tools to augment your diagnostic and planning capabilities. Remember that AI tools are designed to support, not replace, clinical judgment; always integrate the system's insights with your expertise and patient-specific context. Be aware of its seamless integration with existing EHR and imaging systems to optimize your workflow.

uAI Portal is built for extensive integration within the healthcare ecosystem. It is designed to connect with existing medical imaging systems, Electronic Health Records (EHRs) including Epic, Radiology Information Systems (RIS), and Hospital Information Systems (HIS). This broad interoperability aims to provide a streamlined and optimized clinical workflow, ensuring that AI-assisted insights are accessible within the physician's primary workspace.

Details

Category Radiology & Imaging AI, Surgical AI
Pricing Contact for pricing
DeploymentSoftware platform, likely on-premise, cloud, or hybrid, with integration capabilities for existing medical imaging systems.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status 1 AI-estimated

Specific applications within the uAI platform, such as uAI Easy Triage ICH, have received FDA clearance (K242292). This software is indicated for analysis of non-contrast head CT images to assist trained radiologists in triage by flagging studies with suspected positive findings of intracranial hemorrhage (ICH).

Integrations
EHR Not specified
Specialties Neurosurgery, Orthopedics, Radiology

Ratings & Reviews

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Press & Coverage

MDPI
Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration in 2024: Regulatory Characteristics, Predicate Lineage, and Transparency Reporting
The uAI Portal (K240411) was among the 168 machine learning-enabled medical devices authorized by the FDA in 2024, cleared via the 510(k) regulatory pathway for clinical data integration and workflow support.
2025-12
Innolitics
Definitive Guide to AI/ML SaMD Ground Truthing
This article references the uAI Portal (K240411) from Shanghai United Imaging Intelligence Co., Ltd. in the context of ground truthing processes for AI/ML SaMD, highlighting the independent annotation by radiologists.
2025-09
accessdata.fda.gov
September 24, 2024 Shanghai United Imaging Intelligence Co., Ltd. Nima Akhlaghi Director, Digital Health, AI & Imaging C
This FDA document details the 510(k) clearance for a uAI Portal software, specifically 'uAI Easy Triage ICH', outlining its algorithm training on images from China and validation on data from the USA for intracranial hemorrhage detection.
2024-09
accessdata.fda.gov
September 6, 2024 Shanghai United Imaging Intelligence Co., Ltd. Xiaojing Zhao Quality & Regulatory Manager No. 701 Yunjin R
This FDA 510(k) summary for the uAI Portal describes it as a comprehensive software solution for processing, reviewing, and analyzing CT studies, intended for viewing, manipulation, communication, and storage of medical images.
2024-09
Quantitative Imaging in Medicine and Surgery
The value of radiomics features of the spleen as surrogates for differentiating subtypes of common pediatric lymphomas
This peer-reviewed article highlights the use of uAI Portal (version 20230515) for automatic segmentation, preprocessing, and feature extraction of CT images of the spleen in a study differentiating pediatric lymphoma subtypes.
2024-08
Translational Pediatrics
Distinguishing diffuse large B-cell lymphoma from Hodgkin's lymphoma in children using an enhanced computed tomography radiomics approach
A study published in Translational Pediatrics utilized the uAI Portal (version 20230515) to automatically extract radiomics features from enhanced CT scans to distinguish between diffuse large B-cell lymphoma and Hodgkin's lymphoma in children.
2024-05
PMC
MR radiomics to predict microvascular invasion status and biological process in combined hepatocellular carcinoma-cholangiocarcinoma
This article details the use of the uAI Portal (version: 20230715), embedding the PyRadiomics tool, for extracting radiomic features in a study predicting microvascular invasion status in combined hepatocellular carcinoma-cholangiocarcinoma.
2024-12
NVIDIA Blog
Industry Experts Share Latest on AI and Machine Learning in Medical Imaging
NVIDIA highlighted United Imaging Intelligence's uAI Portal for its ability to identify multiple diseases like rib fractures, lung nodules, and COVID-19 from chest CT scans, running on NVIDIA JetPack SDK and Jetson embedded modules.
2021-09

Videos

Product demos, reviews, and walkthroughs for uAI Portal.

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Frequently Asked Questions

The uAI Portal is an AI-driven platform designed to enhance medical imaging workflows and preoperative planning, particularly for thoracic, hepatobiliary, and urological surgeries. It provides advanced 3D visualization, AI-driven annotation tools, and interactive features like gesture-controlled 3D monitors, allowing physicians to analyze conditions from various angles and formulate precise surgical plans.
uAI Portal integrates artificial intelligence to offer clinical decision support by providing diagnostic-level 3D reconstruction of lesions and organs, and assisting with rapid triage and structured radiological reports. It aims to streamline the entire clinical workflow from screening and diagnosis to treatment and follow-up assessment across various medical imaging modalities.
While specific compliance certifications for uAI Portal were not detailed, AI-enabled medical devices, in general, must adhere to regulations like the EU MDR, GDPR, and emerging AI Acts to ensure safety, data quality, and transparency. The uAI Portal does list data security and compliance features, including encryption and access controls.
General challenges with AI in clinical decision support include ensuring data quality and integrity, addressing potential biases in AI models, and maintaining transparency in AI-generated recommendations. Clinician skepticism and integration complexities can also be hurdles to large-scale adoption, emphasizing the need for continuous validation and user feedback.
While direct, publicly detailed alternatives with the exact same comprehensive feature set as uAI Portal for advanced 3D visualization and AI-driven preoperative planning were not readily found, healthcare providers can explore other AI-powered imaging and clinical decision support solutions. These often focus on specific areas like risk stratification, diagnostic aid, or workflow optimization.
Specific pricing or licensing models for uAI Portal are not publicly disclosed in the available information. Enterprise-level clinical decision support and medical imaging platforms are typically licensed through various models, which can include subscription-based fees, per-user licenses, or institutional agreements, often depending on the scope of deployment and included modules.
The uAI Portal is stated to include data security and compliance features such as encryption, data loss prevention (DLP), firewalls, intrusion detection systems, data masking, and access controls. These measures are crucial for protecting patient information and adhering to healthcare data privacy regulations.

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