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	<title>Notal Vision Archives | Macular Degeneration Association</title>
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		<title>Notal Vision publishes positive results from pivotal study of AI algorithm in home-based OCT system</title>
		<link>https://macularhope.org/notal-vision-publishes-positive-results-from-pivotal-study-of-ai-algorithm-in-home-based-oct-system/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=notal-vision-publishes-positive-results-from-pivotal-study-of-ai-algorithm-in-home-based-oct-system</link>
		
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		<pubDate>Tue, 04 Feb 2025 16:16:17 +0000</pubDate>
				<category><![CDATA[age-related macular degeneration (ARMD)]]></category>
		<category><![CDATA[AMD Research]]></category>
		<category><![CDATA[Eye Health]]></category>
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		<category><![CDATA[Notal Vision]]></category>
		<category><![CDATA[#artifical intelligence]]></category>
		<category><![CDATA[#Scanly Home OCT]]></category>
		<category><![CDATA[optical coherence tomography (OCT)]]></category>
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					<description><![CDATA[<p>&#160; &#160; Author(s): Martin David Harp Key Takeaways The AI algorithm demonstrated strong repeatability and agreement with expert graders in <a href="https://macularhope.org/notal-vision-publishes-positive-results-from-pivotal-study-of-ai-algorithm-in-home-based-oct-system/" class="more-link">...</a></p>
<p>The post <a href="https://macularhope.org/notal-vision-publishes-positive-results-from-pivotal-study-of-ai-algorithm-in-home-based-oct-system/">Notal Vision publishes positive results from pivotal study of AI algorithm in home-based OCT system</a> appeared first on <a href="https://macularhope.org">Macular Degeneration Association</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><img decoding="async" class=" wp-image-14919 aligncenter" src="https://macularhope.org/wp-content/uploads/2025/02/SCANLY-Home-OCT.jpg" alt="" width="230" height="215" /></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p class="mr-1 self-start">Author(s): Martin David Harp</p>
<h3 class="text-primary text-xl font-semibold">Key Takeaways</h3>
<ul class="list-disc px-8">
<li class="py-2 ">The AI algorithm demonstrated strong repeatability and agreement with expert graders in segmenting hypo-reflective spaces in nAMD patients.</li>
<li class="py-2 ">The AI&#8217;s repeatability in estimating retinal hypo-reflective space volumes surpassed that of in-office imaging devices.</li>
<li class="py-2 ">The study&#8217;s success led to FDA De Novo authorization and Breakthrough Device designation for the SCANLY Home OCT device.</li>
<li class="py-2 ">The findings enhance confidence in AI-driven patient monitoring for retinal disease management.</li>
</ul>
<p><em>Results from the study assisted Notal Vision in receiving De Novo authorization from the US FDA for the SCANLY Home OCT in 2024.</em></p>
<p class="pb-2">Notal Vision has announced positive results from a pivotal study evaluating the performance of an artificial intelligence (AI) algorithm for the estimation of key biomarkers in neovascular age-related macular degeneration (nAMD) using a home-based optical coherence tomography (OCT) system. The results were recently published in <em>Ophthalmology Science</em>.</p>
<p class="pb-2">The cross-sectional study involved 336 nAMD patients from 6 US retina clinics presenting a diverse set of co-existing pathologic features. According to the company,<sup class="text-inherit">1</sup> this makes segmenting specific biomarkers associated with nAMD particularly challenging for AI algorithms. Patients independently captured 4 images each using 2 home OCT devices while in the clinic, without any assistance from a technician. For comparison, patients were also imaged on an in-office OCT device.</p>
<p class="pb-2">In the trial, the AI algorithm looked for hypo-reflective spaces in the images, including sub- and intraretinal spaces, and quantified total retinal hypo-reflective space volumes. Both home and in-office OCT images were also graded by experts for detecting for hypo-reflective spaces in the intra- and subretinal compartments. The 2 key outcomes the study evaluated were; repeatability of the algorithm estimating total retinal hypo-reflective space volumes on home OCT images and the agreement between the AI and expert graders in segmenting hypo-reflective space&#8230;..</p>
<p>Read more: <a href="https://shorturl.at/ZadcY">https://shorturl.at/ZadcY</a></p>
<p>Source: Ophthalmology Times</p>
<p>The post <a href="https://macularhope.org/notal-vision-publishes-positive-results-from-pivotal-study-of-ai-algorithm-in-home-based-oct-system/">Notal Vision publishes positive results from pivotal study of AI algorithm in home-based OCT system</a> appeared first on <a href="https://macularhope.org">Macular Degeneration Association</a>.</p>
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