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AI-Powered Diagnostic Platforms

Healthcare is undergoing a revolution driven by data. DKAiTech engineers clinical decision support systems that combine deep learning with medical expertise to improve patient outcomes, reduce diagnostic errors, and streamline clinical workflows.

Flagship Platform

OralMed AI

OralMed AI is an advanced digital pathology and diagnostic platform designed to assist healthcare professionals in the early detection of oral cancer. By merging histological image analysis with clinical metadata, the system delivers highly accurate, explainable insights while upholding strict privacy standards.

Multi-Modal Fusion Architecture

Branch 1
Visual
Histological Images (H&E) processed via ResNet50 (CNN)
 
2048-Dim Feature Vector
Branch 2
Metadata
Clinical Data (Age, Risk Factors) processed via Dense Layers
 
Structured Embeddings
Fusion Layer & Classification
Combined vectors passed through output layers for probability scoring (Benign vs. Malignant)
Deep Learning Analysis

Uses transfer learning with ResNet50 to classify complex tissue patterns that are often subtle to the human eye.

Contextual Chatbot

LLM-powered assistant collects patient demographics and lesion details, reducing manual data entry for doctors.

Explainable AI (XAI)

Integrated Grad-CAM technology generates heatmaps, showing doctors exactly where the model is looking on the slide.

HIPAA Compliant

Role-based access control (RBAC) and encrypted storage ensure patient data is never compromised.

Products

Projects

Technology Stack

Python 3.8+
PyTorch
Streamlit
OpenCV
Plotly
Scikit-learn
PostgreSQL
Docker

Clinical Performance

01

78.4%

F1-Score Accuracy

02

< 5s

Scan Time / Slide

03

100%

Audit Trail

Beyond Diagnostics

Drug Discovery & Bioinformatics

We build pipelines for protein structure prediction using ESM-2 models and NVIDIA BioNeMo, accelerating the identification of viable drug candidates.

Predictive analytics for patient flow optimization, reducing wait times, and forecasting equipment maintenance needs in hospitals.

Deploying lightweight AI models to mobile apps for remote screening in primary care and rural telemedicine centers.

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Dedicated Team & Innovators

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