MediNex AIMedical Intelligence

// AI Processing Pipeline
import { MedicalLLM, ImageAnalysis, SpeechRecognition } from '@medinex/ai';

// Initialize AI components
const speechSystem = new SpeechRecognition({
  medicalVocabulary: true,
  languages: ['en', 'es', 'zh'],
  accuracy: 'high'
});

const llmProcessor = new MedicalLLM({
  model: 'medinex-gpt-4',
  specializations: ['radiology', 'pathology', 'general']
});

const imageAnalyzer = new ImageAnalysis({
  supportedTypes: ['MRI', 'CT', 'X-ray', 'ultrasound'],
  detectionThreshold: 0.95,
  gpuAccelerated: true
});

// Process medical data
async function processMedicalData(input) {
  // Convert speech to text if needed
  const text = input.audio 
    ? await speechSystem.transcribe(input.audio)
    : input.text;
    
  // Extract structured data
  const structuredData = await llmProcessor.extractMedicalData(text);

  // Analyze images if present
  if (input.images) {
    const imageResults = await Promise.all(
      input.images.map(img => imageAnalyzer.analyze(img))
    );
    
    // Combine image analysis with structured data
    structuredData.imageAnalysis = imageResults;
  }

  // Generate diagnostic suggestions
  const diagnosticSuggestions = await llmProcessor.generateDiagnosticHints(
    structuredData
  );

  return {
    structuredData,
    diagnosticSuggestions,
    confidence: calculateConfidenceScore(diagnosticSuggestions)
  };
}