<ul data-eligibleForWebStory="false"><li>In vitro diagnostics (IVD) involve analyzing samples like blood, urine, or saliva for disease diagnosis, with advancements like quantitative immunoassays and continuous glucose monitoring transforming it into a data-driven health management approach.</li><li>AI algorithms improve the interpretation of IVD biological data, and integration with cloud and mobile platforms enhances user convenience, with wearable devices collecting health data aligning well with digital health principles.</li><li>Imaging diagnostics use non-invasive technologies like CT, MRI, and ultrasound to visualize internal structures, with AI-based interpretation and cloud integration allowing remote reading and collaborative diagnosis, valuable for chronic disease management and tumor monitoring.</li><li>Both IVD and imaging diagnostics have strengths for digital health integration, with the future focusing on combining data from both methods to provide personalized healthcare, and companies moving towards integrated data platforms and predictive algorithms.</li></ul>

IVD vs. Imaging Diagnostics: Which Is Better Suited for Digital Health Integration?

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