AUTOMATED 3D MEDICAL IMAGING SYSTEM FOR ENHANCED DIAGNOSTIC ACCURACY

Abstract

The present invention relates to an automated 3D medical imaging system designed to enhance diagnostic accuracy through improved image acquisition, processing, and analysis capabilities. The system integrates advanced imaging technologies, such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound, with a proprietary software platform that leverages artificial intelligence (AI) and machine learning algorithms. This automated system performs real-time data acquisition and generates high-resolution 3D images with enhanced detail and clarity, allowing for early detection and precise diagnosis of medical conditions. The invention offers seamless automation in both the scanning and post-processing stages, reducing the need for manual intervention by medical professionals. The AI-driven image analysis feature automatically identifies and highlights abnormalities, offering diagnostic suggestions and reducing human error. Additionally, the system is equipped with a patient-customized interface

Specification

Description:The present invention relates to the field of medical imaging technology, specifically to automated three-dimensional (3D) imaging systems used in clinical diagnostics. It involves advanced imaging techniques, including computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound, integrated with artificial intelligence (AI) and machine learning for enhanced image processing and diagnostic accuracy. The invention is particularly applicable to healthcare environments that require efficient, accurate, and real-time imaging solutions for early detection and diagnosis of medical conditions.
BACKGROUND OF THE INVENTION
Medical imaging plays a crucial role in modern healthcare, providing non-invasive methods to diagnose and monitor various medical conditions. Conventional imaging systems, such as X-rays, CT scans, MRI, and ultrasound, have made significant advances in resolution and accuracy over time. However, these systems often rely on manual operation and analysis, leading to inefficiencies in wo , Claims:Claim 1
A system for automated 3D medical imaging, comprising:
• An imaging device for acquiring 3D medical images of a patient;
• An artificial intelligence (AI) engine configured to process said images in real time, enhance image clarity, and detect abnormalities;
• A user interface configured to display the processed images along with AI-generated diagnostic suggestions;
wherein the system automates image acquisition, processing, and diagnostic analysis without requiring manual intervention, thereby improving diagnostic accuracy and efficiency.
Claim 2
The system of claim 1, wherein the AI engine is further configured to:
• Compare the acquired medical images with a reference dataset of medical conditions;
• Generate a diagnostic report that includes highlighted abnormalities and suggested diagnoses;
wherein the diagnostic report is accessible to medical professionals for review and remote consultation.

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