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Market Research

Global Hospital Market

Hospital Market

The global healthcare AI market is rapidly expanding, projected to surpass $150 Billion by 2030. Reflecting this trend, hospitals worldwide show immense demand for AI solutions, with surveys indicating over 70% of healthcare leaders planning significant investments in diagnostic AI to enhance efficiency and care quality.

Global Radiology Opportunity

Radiology Opportunity

Billions of diagnostic imaging procedures occur globally each year, including over 2 billion X-rays. With the AI in medical imaging market growing at a CAGR of over 30%, there's a critical need and vast potential for AI integration in radiology centers worldwide to manage volumes, improve diagnostic accuracy, and alleviate radiologist workload.

2B+
Annual X-Ray Exams Globally
70%
Leaders Planning AI Investments
30%+
AI in Imaging Market CAGR
$150B+
Global Healthcare AI Market by 2030

The Problems in Modern Radiology

Workforce Shortage

There's a critical lack of trained radiologists, especially in overloaded or remote facilities.

Physician Overload

The volume of medical images is growing rapidly, while time for careful analysis is shrinking.

Human Limitation

Subtle patterns and early disease signs often go unnoticed in scans.

Missed Diagnostic Window

Delays in diagnosis often lead to missed opportunities for early treatment.

Solution

SOF AI is a cutting-edge platform that leverages artificial intelligence to assist radiologists in analyzing medical images, particularly chest X-rays and mammograms, with unprecedented speed and accuracy.

Advanced AI Analysis

SOF AI uses deep learning algorithms trained on millions of medical images to detect abnormalities with 97-99% accuracy. The system can identify over 60 different conditions in chest X-rays and mammograms.

Our proprietary neural networks are specifically optimized for medical imaging, allowing for precise detection of even subtle signs of disease that might be missed in conventional analysis.

Automated detection of abnormalities

Precise localization with heatmap visualization

Automated report generation

SOF AI Interface

Seamless Integration

SOF AI integrates seamlessly with existing hospital PACS systems and radiology workflows. The platform supports all standard DICOM formats and can be deployed on-premises or via secure cloud infrastructure.

Our system is designed to complement radiologists' expertise, not replace it. By handling routine cases and flagging potential abnormalities, SOF AI allows specialists to focus their attention where it's needed most.

DICOM and HL7 compatibility

On-premises or cloud deployment options

SOF AI Integration

Key Features

Real-time Analysis

Process X-rays and mammograms in seconds, providing immediate results to radiologists without workflow disruption.

Visual Highlighting

Automatically highlights regions of interest on images, drawing attention to potential abnormalities for closer examination.

Automated Reporting

Generates preliminary reports with findings and recommendations, saving radiologists valuable documentation time.

Telemedicine opportunities

Reports available 24/7 and different languages including Uzb , Rus , English.

How It Works

Medical image is uploaded
SOF AI Technology
AI model processes the image
SOF AI Technology
Key abnormalities are detected
SOF AI Technology
AI highlights regions of interest and generates a report
SOF AI Technology
Radiologist reviews and confirms the diagnosis
SOF AI Technology

Advanced AI for Medical Imaging

SOF AI utilizes advanced artificial intelligence to enhance the interpretation of lung and mammography images. By leveraging state-of-the-art image processing algorithms, SOF AI automates the detection of critical regions such as lung nodules, masses, and other key structures in breast tissue, improving the speed and accuracy of diagnoses.

Designed to integrate seamlessly with standard workstations and DICOM formats, SOF AI supports healthcare professionals by streamlining the analysis of medical images. This powerful tool ensures more reliable and detailed assessments, enabling faster clinical decisions and better patient outcomes.

With its user-friendly platform and sophisticated AI-driven analysis, SOF AI provides healthcare providers with the tools they need to identify conditions earlier and with greater precision, ultimately improving the quality of care.

SOF AI Technology
Transforming Radiology

Transforming Radiology with AI

The integration of AI into radiology offers substantial improvements across multiple areas, including image acquisition, diagnostic reporting, prognosis prediction, and treatment monitoring. By automating repetitive tasks, enhancing image quality, and providing valuable insights into disease progression, AI is transforming the radiology field and improving patient care.

As technology continues to evolve, the role of AI in radiology will expand, offering even greater potential for precision medicine and better patient outcomes.

Try Demo

About SOF AI

SOF AI is transforming radiology and oncology through advanced AI to improve diagnostic accuracy and patient outcomes.

With over 4 years of medical imaging data behind our technology, we deliver reliable and clinically relevant solutions.

We work closely with doctors, oncologists, and specialists across the republic to ensure seamless integration into real-world clinical workflows.

More information
SOF AI Team

Our Partners

Leading healthcare institutions trust SOF AI for their radiology needs

Partner 1

Medical center of oncology and radiology

Partner 2

Republican specialized scientific Practical Medical Center of Hematology

Ministry of Public Health of the Republic of Uzbekistan

Have Any Questions?

Find answers to frequently asked questions about SOF AI technology

How Does SOF AI Improve Radiologist Workflow?

SOF AI automates the initial analysis of medical images, helping radiologists focus on critical cases, reduce reading time, and minimize diagnostic fatigue.

What Types of Medical Images Can SOF AI Analyze?

SOF AI supports chest X-rays (CXR) and mammography (MMG), detecting conditions like nodules, consolidation, pneumothorax, and more—with 97–99% accuracy. More modalities are being added.

How Accurate Is SOF AI in Detecting Abnormalities?

Our models are clinically validated with accuracy rates of up to 99%, ensuring reliable detection of both common and subtle abnormalities.

How Does SOF AI Integrate with Existing Hospital Systems?

SOF AI integrates easily with PACS, RIS, and other hospital IT systems using standard protocols like DICOM and HL7—ensuring smooth adoption without workflow disruption.

Who Are the Clinical Experts Behind SOF AI?

We collaborate closely with radiologists, oncologists, and specialists across the republic, ensuring our solutions are clinically relevant and aligned with real-world healthcare needs.

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