MIMIC-Medical-Report Model

Overview

This project presents a fine-tuned model based on Microsoft's PHI-2, trained on the MIMIC dataset using Python and PyTorch. Leveraging Hugging Face's Transformers library, this model significantly enhances AI's capacity to extract critical medical insights, improving diagnostic accuracy in healthcare.

Features

• Model Architecture: Fine-tuned PHI-2 model using Transformer-based architecture
• Dataset: MIMIC medical dataset, preprocessed to ensure high data integrity
• Purpose: Assists in generating detailed medical reports, extracting key insights to support clinical decisions