MediAI: An AI Based Guide for Medical Content Authenticity Analysis

In the Internet age, it is critical to identify the legitimacy of accurate medical content. This proposed research offers a thorough NLP-driven architecture intended to improve the veracity and correctness of online medical material. The proposed system effectively differentiates AI-generated content from non-AI content by leveraging Machine Learning (ML) models for testing and Deep Learning (DL) models for implementation, particularly Long-Short Term Memory (LSTM) and Bidirectional Long-Short Term Memory (Bi-LSTM). This will help decrease the dissemination of medical misinformation with the use of higher techniques of ML and DL, hence greatly improving the level of public health literacy. The proposed system will be user-friendly and will provide real-time verification; hence it would be very useful for healthcare professionals, the general public, in effect leading to a better-informed and health-conscience society.