Training Future Radiologists with Real-World Tools
Introduce students to AI-powered radiology with hands-on experience using tools deployed in modern diagnostic environments. Prepare them for the future of imaging from day one. Learn with live cases. Train with real AI.
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Medical colleges and teaching hospitals have adopted the platform
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Student cases analyzed with AI-powered overlays
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Curriculum-ready modules aligned with clinical practice
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Academic partnerships and research grants backing the platform
Our Solutions
X-ray and CT scan analysis powered by AI, online diagnosis with Teleradiology, PACS image access, and streamlined diagnostic reporting with Tele-reporting.
Benefits of Choosing Us
Bridges the Gap
Teach AI-aided diagnosis alongside traditional interpretation
Curriculum Integration
Modules designed for radiology, internal medicine, and public health programs
Performance Insights
Faculty can review how students interact with AI findings
Real Clinical Data
Access anonymized, verified cases from hospitals and diagnostic centers
Supports Research and Thesis Work
Use imaging datasets in postgraduate or PhD studies
Support from ManentiaAI
We support institutions and faculty every step of the way:
Faculty onboarding & training sessions
Academic licensing and module guides
LMS or platform integrations available
Dataset customization for institutions
Certificate programs in AI for radiology
Step-by-Step Workflow
A safe, guided space for future radiologists to learn and lead.
Students log in to the academic portal
Explore AI-labeled scan cases across X-ray and CT
Submit diagnostic reports and compare with AI results
Faculty reviews reports and provides feedback
Students receive insights and real-world training experience
Got Questions? We've Got Answers!
If you have any additional questions or need further clarification, don't hesitate to get in touch with us. We're here to help you!
Upgrade Radiology Education.
Explore the difference AI makes in teaching, learning, and hands-on diagnostic training.
Theoretical training with static case examples
No exposure to structured reporting
Limited understanding of AI in clinical workflow
No performance feedback for students
Difficult to access diverse imaging cases
Real-world anonymized scans with AI overlays
Students learn using AI-generated report formats
Hands-on experience with AI tools used in practice
Faculty dashboards track student progress
Cloud library with broad pathology coverage
Theoretical training with static case examples
No exposure to structured reporting
Limited understanding of AI in clinical workflow
No performance feedback for students
Difficult to access diverse imaging cases
Real-world anonymized scans with AI overlays
Students learn using AI-generated report formats
Hands-on experience with AI tools used in practice
Faculty dashboards track student progress
Cloud library with broad pathology coverage