AI-BASED SYSTEM FOR BRAIN TUMOR DETECTION

Abstract

ABSTRACT An AI-based system (100) for brain tumor detection, comprising: a plurality of medical imaging sensors configured to collect real-time data; an AI module integrated with the medical imaging sensors, the AI module being configured to analyze the collected data and detect brain tumor patterns; a communication module configured to upload the collected data to a control module; and a processor within the control module, configured to manage and optimize the diagnostic process by applying AI algorithms to ensure precision and efficiency.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of medical technology and, in particular, to a system for brain tumor detection using artificial intelligence and machine learning techniques to enhance accuracy, efficiency, and early diagnosis in medical practices.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Early and accurate detection of brain tumors is crucial for effective treatment and improved patient outcomes. Traditional diagnostic methods often rely on manual image interp , Claims:WE CLAIM:
1. An AI-based system (100) for brain tumor detection, comprising:
a plurality of medical imaging sensors configured to collect real-time data;
an AI module integrated with the medical imaging sensors, the AI module being configured to analyze the collected data and detect brain tumor patterns;
a communication module configured to upload the collected data to a control module; and
a processor within the control module, configured to manage and optimize the diagnostic process by applying AI algorithms to ensure precision and efficiency.

2. The system (100) as claimed in claim 1, wherein the medical imaging sensors include at least one of MRI scanners, CT scanners, and PET scanners.

3. The system (100) as claimed in claim 1, wherein the AI module provides real-time feedback to medical practitioners based on the analysis of the collected data.

4. The system (100) as claimed in claim 1, wherein the processor is configured to generate real-time adjustments based on the uploaded data to ensure optimal

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