Detect.
Diagnose.
Defend.

OncoScan uses intraoral imaging and clinical risk data to deliver AI-powered oral cancer screenings in under 30 seconds — accessible to every provider, everywhere.

92% Detection Accuracy

<30s Results

Works Offline · Low-Resource

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Detection Accuracy

Time to Result

Clinical Risk Factors

Fused Model Stack

Process

How It Works

Three steps from patient to AI-generated risk score.

Step 01

Upload Image

Capture and upload an intraoral photo. Any smartphone camera works — no specialist equipment needed.

Step 02

Enter Risk Factors

Input patient demographics, tobacco/smoking history, and up to 12 clinical risk markers from a quick guided form.

Step 03

Get Instant Score

AI fuses both models and returns a color-coded risk percentage in under 30 seconds — Low, Moderate, or High.

Under the Hood

Built on Serious AI

Two models. One score. Maximum accuracy.

XGBoost Clinical Model

History-Based Risk

Trained on structured clinical data — age, gender, tobacco use, smoking, alcohol, and 12 risk markers — to predict cancer likelihood from patient history alone.

Gradient Boosting 20+ Features Tabular Data

PyTorch CNN Model

Image-Based Risk

A convolutional neural network analyzes the intraoral image at 224×224 resolution to identify lesion patterns, color abnormalities, and high-risk visual markers.

PyTorch 224×224 Input Image Analysis

Probability Fusion

Both model outputs are averaged into a single fused risk probability — maximizing precision by combining visual and clinical signals.

AWS SageMaker

Models are deployed on a serverless SageMaker endpoint. Results are stored in DynamoDB. Images archived in S3. Zero infrastructure management.

Our Story

Built with Purpose

OncoScan was founded with the belief that early cancer detection shouldn't be a privilege. Our tools are built for accessibility — not the hospital boardroom.

Founder

Vihaan Shringi

Vihaan founded OncoScan to bring AI-powered diagnostics to every corner of the world. His work sits at the intersection of machine learning, health equity, and compassionate care — with a singular focus on saving lives through early detection.

Expert Advisory

Advised by oncologists and AI researchers at the forefront of cancer detection and machine learning.

Hospital Network

Connected with hospitals nationwide to bring AI-powered early detection to patients everywhere.

Backed By

Supported by ACIC VGU, and AWS Activate — building at the cutting edge of health tech.

Detect. Diagnose. Defend.