Building Multi-Modal AI Systems

Building Multi-Modal AI
Systems for

Elevating Diagnosis Capabilities Through Advanced AI

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Findout how one of the world's largest health
systems is using 5C AI to get better outcomes

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In the News

See what the world is saying about our mission to redefine the future of radiology.

5C Network Launches Bionic Report Explainer
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Express Healthcare

5C Network Launches Bionic Report Explainer

The Bionic Report leverages cutting-edge AI technology to transform how radiologists interpret medical scans. By combining Computer Vision (CV) and Large Language Models (LLMs), it provides unprecedented accuracy in detecting abnormalities and generating comprehensive medical reports.

AI Delivers Precision at Scale
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Express Healthcare

The Diagnostic Arena Demands Precision: AI Delivers It at Scale

5C Network AI Radiology Platform
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YourStory

5C Network: Revolutionizing Radiology with AI Platform in India

Advanced Heart Health Screening
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News18

Indians Move from Lipid Profile to Advanced Screening Tests Amid Rising Heart Attack Risk

Bionic

Enhancing Radiologist Workflow with Bionic

Segment

Segments key organs and provides radiologists with precise measurements, reducing analysis time.

01

Analyze

AI-powered analysis replaces traditional DEXA scans for osteoporosis detection by analyzing knee X-rays.

02

Detect

Autonomously detects pathologies, generating preliminary reports for critical cases, supporting fast, accurate responses for urgent care.

03

Measure

Quantifies clinical parameters, like 28 intersection angles used in Chiropractic treatment, enhancing diagnostic precision in niche fields.

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Configuring AI to Work for You

Workflow Optimization

Streamlines clinical workflows in radiology

Automated Processing

Automates the initial review process

Intelligent Classification

Categorizes scans into normal, simple abnormalities, and complex abnormalities

Priority Routing

Assists in prioritizing cases and directing them to appropriate radiological expertise

Time Efficiency

Helps in reducing the turnaround time significantly

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Cases Reported

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Clients

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Radiologists

Built with the world’s largest training set for Medical Imaging

By the time you have scrolled through here,
we have delivered 47 reports in Varanasi.

How Bionic Aligns with Radiology
Reporting Standards?

Bionic is built on a Detection-Analysis-Synthesis (D-A-S) workflow, closely mirroring how radiologists interpret medical scans:

D

Detection

CV technology identifies pathologies, such as lesions or masses, in imaging studies.

A

Analysis

Bionic measures and evaluates abnormalities to aid in disease assessment and treatment planning.

S

Synthesis

AI-generated reports provide clear, actionable next steps, facilitating accurate diagnosis and treatment decisions.

Enhancing the Quality of Radiodiagnosis

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Quantification

Exact measurements of identified issues ensure data consistency and adherence to standards.

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Consistency

Standard terminology in reports enhances reliability and uniformity, minimizing differences across diagnoses.

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Clarity

Clear recommendations for follow-up steps or treatments facilitate swift and informed decision-making based on radiological findings.

A Whole Product Ecosystem to
Help You Get Most of AI

  • AI Dashboard
  • Web and Mobile Platform
  • Custom Alerts

Testimonials

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OsteoCheck has been a game-changer for my practice. The ability to get precise, AI-assisted readings from simple knee X-rays helps me tailor treatment plans more effectively and engage patients in their care process, making early intervention possible.

Dr. Isha Gaikwad
Orthopedic Surgeon
Maharashtra, India
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The Bionic Report by 5C Network has transformed our workflow, making report generation fast and accurate. This tool allows us to focus more on patient care by reducing errors and prioritizing urgent cases.

Dr. Neha Sharma
Chief Radiologist, City Hospital
Jharkhand, India
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5C Network is a highly reliable platform and their reporting services are always up fast and accurate.

 Madan Prasad Mathur
Technician, Alam Hospital
Karnataka, India