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                    <div class="text-200 bold">The Problem</div>
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                  <h2 class="display-2 mg-bottom-4px">Building medical AI is <span class="new-underline image-text-undeline">extremely challenging.</span></h2>
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                  <h3>Lack of medical datasets and models</h3>
                  <p class="mg-bottom-0">Builders can't find them due to their scarcity and dispersion across many websites on the internet.</p>
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              <div id="w-node-_6a391376-87e3-d701-c61e-15928378c41e-deb7bfdb" class="card feature-v2-grid">
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                  <h3> Lack of interdisciplinary teams </h3>
                  <p class="mg-bottom-0">Medical AI is born from the intersection of two complex fields. Engineers tend not to understand medical data. Medical experts tend not to understand algorithms.</p>
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                  <h3>Poor performance in real-world settings </h3>
                  <p class="mg-bottom-0">These problems lead to projects that work in a lab but fail catastrophically when deployed in the medical field.</p>
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                  <div class="text-200 bold color-neutral-100">The Solution</div>
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                <h2 class="display-2 mg-bottom-4px color-neutral-100">Our <span class="image-text-undeline v2">open-source </span>community <span>makes it </span><span class="text-span">e</span><span class="text-span-2">a</span><span class="text-span-3">s</span><span class="text-span-4">y</span><span>.</span></h2>
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              <div id="w-node-d3473546-f58c-c8f3-20bb-3b5e95caa5bc-aaf521cc" data-w-id="d3473546-f58c-c8f3-20bb-3b5e95caa5bc" class="div-block">
                <div class="display-1 mg-bottom-8px color-neutral-100">2.7<span class="color-primary-1">X</span></div>
                <div class="text-300 bold color-neutral-700 color-neutral-100" style="text-align: center;">Models developed faster</div>
              </div>
              <div id="w-node-d3473546-f58c-c8f3-20bb-3b5e95caa5c3-aaf521cc" data-w-id="d3473546-f58c-c8f3-20bb-3b5e95caa5c3" class="div-block-2">
                <div class="display-1 mg-bottom-8px color-neutral-100">15<span class="color-primary-2">%</span></div>
                <div class="text-300 bold color-neutral-700 color-neutral-100" style="text-align: center;">Avg. increase in accuracy</div>
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              <div id="w-node-d3473546-f58c-c8f3-20bb-3b5e95caa5ca-aaf521cc" data-w-id="d3473546-f58c-c8f3-20bb-3b5e95caa5ca" class="div-block-3">
                <div class="display-1 mg-bottom-8px color-neutral-100">21<span class="color-primary-3">%</span></div>
                <div class="text-300 bold color-neutral-700 color-neutral-100" style="text-align: center;">Avg. increase in external validation accuracy</div>
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              <div id="w-node-d3473546-f58c-c8f3-20bb-3b5e95caa5d1-aaf521cc" data-w-id="d3473546-f58c-c8f3-20bb-3b5e95caa5d1" class="div-block-4">
                <div class="display-1 mg-bottom-8px color-neutral-100">35<span class="color-primary-4">%</span></div>
                <div class="text-300 bold color-neutral-700 color-neutral-100" style="text-align: center;">Avg. reduction in costs for models development</div>
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                        <div data-w-id="05db4bff-84d6-1e56-3ac6-85f774f27329" style="-webkit-transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);opacity:0" class="image-wrapper border-radius-24px borders-solid-default"><img src="https://easymed.ai/nf/1748119469/_static_/images/model4.png" loading="eager" sizes="(max-width: 479px) 100vw, (max-width: 767px) 80vw, (max-width: 991px) 532px, (max-width: 1439px) 41vw, 534.65625px" srcset="https://easymed.ai/nf/1748119469/_static_/images/model4.png 500w, https://easymed.ai/nf/1748119469/_static_/images/model4.png 1122w" alt="" class="image cover"></div>
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                        <h2 class="display-2 mg-bottom-12px">Pretrained medical AI models</h2>
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                    <p class="mg-bottom-32px keep">Reduce the time and costs required to develop AI solutions for medical applications with models pretrained on large, diverse datasets.</p>
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                        <div>
                          <h3 class="mg-bottom-6px">Deploy them directly</h3>
                          <p class="mg-bottom-0">Choose models that are well-suited for your specific use case and deploy them out of the box.</p>
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                          <h3 class="mg-bottom-6px">Fine-tune on more data</h3>
                          <p class="mg-bottom-0">Improve their performance with private or public data available on the platform.</p>
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                          <h2 class="display-2 mg-bottom-12px">Structured medical datasets</h2>
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                    <p class="mg-bottom-28px">Consistent format and terminology make it easier to retrieve, compare and analyze data from different sources, and to integrate it into machine learning training pipelines.</span></p>
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                        <div class="display-1 mg-bottom-8px">2.5<span class="color-primary-1">X</span></div>
                        <div class="text-300 bold color-neutral-700">More datasets found</div>
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                        <div class="display-1 mg-bottom-8px">68<span class="color-primary-3">%</span></div>
                        <div class="text-300 bold color-neutral-700">Assembled from multiple institutions</div>
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                      <div data-w-id="317720d3-b8ec-9ed3-bad3-5f9407b79621" style="-webkit-transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(0, 80%, 0) scale3d(0.5, 0.5, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);opacity:0" class="image-wrapper border-radius-24px borders-solid-default"><img src="https://easymed.ai/nf/1748119469/_static_/images/dataset2.png" loading="eager" sizes="(max-width: 479px) 89vw, (max-width: 767px) 74vw, (max-width: 991px) 490px, (max-width: 1439px) 42vw, 539.1875px" srcset="https://easymed.ai/nf/1748119469/_static_/images/dataset2.png 500w, https://easymed.ai/nf/1748119469/_static_/images/dataset2.png 800w, https://easymed.ai/nf/1748119469/_static_/images/dataset2.png 1200w" alt="" class="image cover"></div>
                      
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