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Assistive Differential Diagnosis using Context-Aware LLM

1. Technology Stack

NextJS Vercel NextUI Acceternity Tailwind Typescript Redux Tool Kit NPM JWT CSS3 HTML5 Figma NodeJS Postman Express.js NPM MongoDB JWT JavaScript

2. Overview

The AI-Enhanced Healthcare Diagnostics and Management System aims to streamline medical diagnostics and patient management. It addresses key challenges in healthcare by leveraging AI and technology to enhance efficiency and accuracy.

  • Problem Addressed: Short patient consultations and burdens on doctors.
  • Objective: Improve medical processes and patient experience using advanced tech and AI.

3. Nature of Product

Patient Features:

  1. Medical Records Management: Upload and manage medical records.
  2. Vitals Extraction: Auto-extraction of vitals like BMI and Blood Sugar Level from medical records.
  3. 24/7 Medical Chat: AI-driven chat system for instant medical advice and knowledge updates.

Doctor Features:

  1. Patient History Summary: Auto-generated summaries of patient histories.
  2. Knowledge Base: Comprehensive information to assist in diagnosis.
  3. Patient Management: Efficient patient addition and management with one-time tokens.

4. Benefits

  • For Doctors: An AI assistant with perfect memory to aid in diagnosis and idea generation.
  • For Patients: Instant access to medical help and updated records.

5. Statistical Analysis

  • Doctor Burden: India faces a significant shortage of doctors, leading to high patient loads and burnout.
  • Patient Access: Rural patients often face long travel distances to access healthcare.
  • Healthcare Costs: Misdiagnoses and delayed diagnoses lead to increased costs and inefficiencies.

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