🩺 PulseAI Portal Intelligent Clinical Decision Support System for Enhanced Patient Care March 2024
🚀 Overview PulseAI Portal is a next-generation Clinical Decision Support System (CDSS) designed to assist healthcare professionals with advanced AI-driven tools. It leverages deep learning, computer vision, natural language processing (NLP), and large language models (LLMs) to improve diagnostics, automate clinical workflows, and enhance patient outcomes.
🧠 Core Features ✅ Disease Detection via ML/DL Detects heart disease, liver disease, and various conditions using traditional machine learning models.
Recognizes skin cancer, lung cancer, and more using Convolutional Neural Networks (CNNs).
📝 AI-Powered Medical Note Automation Automatically generates structured doctor notes from consultation audio or video recordings.
Supports real-time summarization and entity extraction for symptoms, diagnoses, medications, and treatment plans.
🧾 Clinical Data Extraction using NER Uses NLP and Named Entity Recognition (NER) to extract medical entities (symptoms, genes, medications, diseases, etc.) from unstructured patient records.
Enhances data accuracy and enables efficient clinical research.
🔬 Cancer Clinical Trial Matcher Matches eligible patients to appropriate clinical trials based on their medical profile.
Continuously updates a comprehensive trial database, streamlining access to emerging treatments.
💬 AI Health Chatbot Provides instant answers to common health questions.
Offers lifestyle tips, basic medical guidance, and triage suggestions.
Available 24/7 for user convenience.
🧰 Tech Stack Python + Flask – Backend API and web integration
Machine Learning / Deep Learning – Disease detection, NER, CNNs
Natural Language Processing – Summarization, chatbot, NER
Computer Vision – Cancer recognition from medical images
Large Language Models (LLMs) – AI assistant for summarization and chatbot features
💡 Why PulseAI? ⚡ Speeds up diagnosis & documentation
💰 Reduces administrative costs
📈 Improves clinical efficiency
🧬 Supports advanced research and trial enrollment
💬 Delivers 24/7 patient support with AI assistant
📍 Use Cases Hospitals & Clinics looking to modernize workflows
Research centers needing structured clinical data
Health tech startups building patient-facing tools
Doctors and patients seeking faster and more informed decisions
📚 Skills & Concepts Used Deep Learning
Computer Vision
Natural Language Processing (NLP)
Large Language Models (LLMs)
Flask (Python Web Framework)
Machine Learning