Technical Overview

AI-Powered Medical Diagnostics
Platform Architecture

Technical overview of MediLens' architecture, ML pipelines, and infrastructure. Built for developers and technical stakeholders.

11
Modules
<200ms
Latency
95%+
Accuracy
99.9%
Uptime
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Platform Overview

11 Specialized AI Diagnostic Modules

Each module is built with specialty-specific AI models, trained on validated medical datasets, and designed for clinical-grade accuracy. From ophthalmology to multi-modal fusion.

LIVE

RetinaScan AI

Ophthalmology

Diagnoses

Diabetic RetinopathyGlaucomaAMD+1

Models

EfficientNet, ResNet, Vision Transformers

Datasets

APTOS 2019, MESSIDOR, IDRiD

LIVE

ChestXplorer AI

Radiology

Diagnoses

PneumoniaCOVID-19TB+1

Models

DenseNet-121, ResNet-50, YOLO

Datasets

NIH ChestX-ray14, CheXpert

LIVE

SkinSense AI

Dermatology

Diagnoses

MelanomaBasal Cell CarcinomaEczema+1

Models

EfficientNet, Inception-v3, MobileNet

Datasets

ISIC (50K+ images), HAM10000

SOON

HistoVision AI

Pathology

Diagnoses

Cancer DetectionMalariaLeukemia+1

Models

U-Net, ResNet/VGG, YOLO

Datasets

PatchCamelyon, NIH Malaria

SOON

CardioPredict AI

Cardiology

Diagnoses

ArrhythmiaAFibMI+1

Models

1D CNN, LSTM/GRU, Transformers

Datasets

MIT-BIH, PTB Diagnostic ECG

SOON

NeuroScan AI

Neurology

Diagnoses

Brain TumorsAlzheimer'sStroke+1

Models

3D U-Net, ResNet-3D, V-Net

Datasets

BraTS, ADNI, OASIS

SOON

RespiRate AI

Pulmonology

Diagnoses

COPDAsthmaSleep Apnea+1

Models

wav2vec, LSTM, Computer Vision

Datasets

ICBHI Respiratory Sound DB

LIVE

SpeechMD AI

Speech & Cognitive

Diagnoses

Parkinson'sAphasiaDementia+1

Models

wav2vec 2.0, HuBERT, Whisper

Datasets

mPower, DementiaBank, AVEC

SOON

FootCare AI

Diabetic Foot Care

Diagnoses

Diabetic Foot UlcersWound ClassificationInfection Risk

Models

Mask R-CNN, ResNet

Datasets

DFUC2020, Medetec Wound DB

SOON

BoneScan AI

Orthopedics

Diagnoses

Bone FracturesOsteoporosisArthritis+1

Models

YOLO, ResNet

Datasets

MURA, RSNA Bone Age

SOON

OmniMed AI

Multi-Modal Fusion

Diagnoses

Holistic DiagnosisRisk ScoringTreatment Pathways

Models

CLIP-style, Multi-modal Transformers

Datasets

Multi-source EHR Data

System Architecture

Modern, Scalable Architecture

MediLens adopts a modular, microservices-based architecture that separates client-side presentation from high-performance ML inference services, ensuring scalability and maintainability.

Client Layer

Next.js 15 App Router with React Server Components for optimal First Contentful Paint (FCP) and SEO. Clerk handles authentication with JWT tokens.

API Gateway

Route Handlers provide rate limiting, Zod schema validation, and authentication guards. Redis caching layer reduces database load.

ML Services

Python-based microservices running PyTorch/TensorFlow models on GPU instances. Ensemble voting for improved accuracy.

Technology Stack

Built on Industry Standards

Leveraging battle-tested, open-source technologies for reliability, performance, and scalability.

Frontend

  • Next.js 15 (App Router)
  • React 18 (Server Components)
  • TypeScript (Strict Mode)
  • Tailwind CSS
  • Framer Motion
  • Clerk Authentication
  • Zustand State Management

AI / ML Core

  • PyTorch Lightning
  • TensorFlow 2.x
  • Hugging Face Transformers
  • OpenCV (Image Processing)
  • Scikit-learn
  • ONNX Runtime

Backend & Infrastructure

  • FastAPI (Python 3.10+)
  • PostgreSQL (Async SQLAlchemy)
  • Redis (Cache & Queue)
  • Docker & Kubernetes
  • AWS S3 (Blob Storage)
  • Nginx (Load Balancer)

DevOps & Testing

  • GitHub Actions (CI/CD)
  • Vitest (Unit Tests)
  • Playwright (E2E Tests)
  • ESLint & Prettier
  • Sentry (Error Tracking)
  • Prometheus & Grafana

Performance Benchmarks

<200ms
API Response
P95 latency
200-800ms
ML Inference
Per modality
99.9%
Uptime
SLA guarantee
100+
Throughput
Concurrent requests
Development Roadmap

Strategic Implementation Plan

From foundational infrastructure to full clinical ecosystem integration.

01

Foundation

Q1 2024

Completed
  • Platform Infrastructure Setup
  • User Authentication & RBAC
  • Secure File Upload Pipeline
  • Database Schema Design
02

Initial Modules

Q2-Q3 2024

In Progress
  • RetinaScan AI (Ophthalmology)
  • ChestXplorer AI (Radiology)
  • SkinSense AI (Dermatology)
  • SpeechMD AI (Speech Analysis)
03

Expansion

Q4 2024 - Q1 2025

Planned
  • CardioPredict AI (Cardiology)
  • NeuroScan AI (Neurology)
  • HistoVision AI (Pathology)
  • Multi-modal Fusion Engine
04

Enterprise Features

Q2 2025+

Planned
  • EMR/EHR Integration (Epic, Cerner)
  • Telemedicine Suite
  • Population Health Analytics
  • FHIR API Compliance
Security & Compliance

Enterprise-Grade Security

Built with healthcare compliance at the core. Every layer of the stack implements industry-standard security practices and regulatory requirements.

HIPAA Compliant

Full healthcare data protection with end-to-end encryption, audit logging, and access controls.

Data Encryption

AES-256 encryption at rest, TLS 1.3 in transit. All medical data stored in encrypted S3 buckets.

Role-Based Access

Granular RBAC with JWT authentication. Separate permissions for patients, providers, and admins.

Audit Trails

Complete audit logging of all diagnostic actions, data access, and system events for compliance.

HIPAA Compliant
SOC 2 Type II
GDPR Ready
ISO 27001

Ready to Experience MediLens?

Explore our AI-powered diagnostic platform or get in touch to discuss enterprise deployment and integration options.

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