This repository houses the core user interface and backend functionalities of the medical report generation system.

Automatic Radiology Report Generation: Streamlining Workflow for Radiologists and Improving Patient Care

Imagine a future where radiologists can generate accurate and efficient reports with the help of AI. Automatic radiology report generation management systems are revolutionizing the field by:

• Saving Radiologists Time: Reduce the time spent on routine report writing, allowing radiologists to focus on complex cases and patient interaction.
• Improving Report Consistency: Standardize reports using AI-powered templates, minimizing errors and variations between radiologists.
• Faster Diagnosis and Treatment: Quicker report generation leads to faster diagnoses and treatment plans for patients.
• Enhanced Patient Communication: Clear and concise reports can be easily understood by both patients and referring physicians, facilitating communication.

Benefits for Patients:

• Faster Results: Receive diagnoses and treatment plans more quickly.
• Improved Clarity: Understand your medical reports more easily with clear and concise language.
• Enhanced Communication: Better communication between you, your radiologist, and your doctor.

Benefits for Radiologists:

• Increased Efficiency: Focus on complex cases and patient interaction.
• Reduced Errors: Minimize report inconsistencies and errors.
• Improved Work-Life Balance: Spend less time on administrative tasks.

Automatic radiology report generation is not a replacement for radiologists, but rather a powerful tool that empowers them to deliver better care.

Technologies:

Frontend: Next.js, React Bootstrap, Bootstrap, Styled Components Backend: Express.js, MongoDB Key Features:

User-friendly interface for interacting with the report generation process. Functionality to upload medical images. Integration with the Flask API for report generation. See [Model Training]([Model Training Repo Link]) for details on the deep learning model used for report generation.

See [Flask API]([Flask API Repo Link]) for information on the API that generates reports based on uploaded images.