AI-driven Early Dementia Detection Device

<div class="se-viewer se-theme-default" lang="ko-KR">
    
    
    
    <div class="se-main-container">
                <div class="se-component se-text se-l-default" id="SE-17731fdc-e787-4ece-a131-30e014e3e1be">
                    <div class="se-component-content">
                        <div class="se-section se-section-text se-l-default">
                            <div class="se-module se-module-text">
                                    <p class="se-text-paragraph se-text-paragraph-align-justify " style="" id="SE-72a8dd4a-be5b-41a2-9d7d-d0c048c8682b"><span style="" class="se-fs-fs19 se-ff-pretendard   " id="SE-27cf935f-bc74-4ca8-918d-cda838a74704">Our solution diagnoses early-stage dementia by detecting changes in blood flow in the prefrontal cortex in response to specific odors. Using near-infrared spectroscopy to directly observe brain waves, our device offers a non-invasive and more precise approach to early diagnosis compared to existing methods.</span></p>
                            </div>
                        </div>
                    </div>
                </div>    </div>
</div>

Our solution diagnoses early-stage dementia by detecting changes in blood flow in the prefrontal cortex in response to specific odors. Using near-infrared spectroscopy to directly observe brain waves, our device offers a non-invasive and more precise approach to early diagnosis compared to existing methods.