AI Screening Lab

Academic Research Project

AI-Powered Medical Screening, Built Through Practical Research.

An academic project exploring AI-driven medical image screening through student-developed machine learning models and practical web application integration.

Explore ModelsAbout the Project

Screening Models

Explore Screening Models

A collection of AI-based screening models developed and integrated as part of an academic practical training project.

Oral Cancer (OSCC) Survival & Screening

Primary Model

Active model: SurvBoost parametric gradient boosting for two-year survival probability and SHAP explainability.

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Skin Lesion Analysis

Planned

A planned exploration of AI-assisted analysis of dermatological images.

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Retinal Image Analysis

Planned

A planned exploration of AI-assisted analysis of retinal images.

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Chest X-ray Analysis

Planned

A planned exploration of AI-assisted analysis of chest radiographs.

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All screening tools shown are research prototypes for educational purposes and are not a substitute for professional medical diagnosis.

About the Project

Research Meets Implementation

This project brings together student-led AI model development and practical software engineering. M.Tech students work on the underlying machine learning logic, while the platform provides a web interface for presenting and interacting with the models.

The platform is intentionally small in scope. It exists as a practical exercise in taking models from experimentation to a working web application — and it will grow only as real implementations are ready.

Project Workflow

From Model to Interface

  1. 01

    Model Development

    Students develop and experiment with AI/ML models for medical image analysis.

  2. 02

    Application Integration

    Models are connected to a web application through backend services.

  3. 03

    Interactive Interface

    The frontend provides a clear way to explore the implemented functionality.