The article “Whole Slide Image Quality in Digital Pathology: Review and Perspectives,” authored by Datexim, was mentioned in the article “AI in Pathology: What could possibly go wrong?”.
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“Even laboratories with adequate histology will need to practice stringent quality control techniques because digitized artifacts can flummox downstream AI tools if not anticipated. As an example, a slide with a small fold on a section may still be adequate for interpretation by a pathologist or technician using a microscope because focus is manually adjustable, and a human can disregard technically inadequate regions, as can some AI tools now (e.g., HistoQC).”
In recent years, Artificial Intelligence (AI) has ushered in a transformative breakthrough in the medical field, revolutionizing the way diagnoses are made. Pathologists have quickly adapted to these changes, reorganizing their workflow to incorporate AI tools that provide invaluable assistance to healthcare professionals.
While AI has undoubtedly enhanced diagnostic capabilities, it’s important to note that it doesn’t always provide optimal results on its own. These advanced tools offer diagnostic assistance but stop short of providing a definitive diagnostic outcome. This is where the expertise of cytotechnologists and pathologists becomes indispensable.
In this article, professionals share their perspectives on the benefits and limitations of software using Artificial Intelligence.
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CytoProcessor® is a CE marked IVDs. The device is intended for use by healthcare professionals only. Please refer to the conditions of use recommended by the manufacturer DATEXIM by consulting the user guide.
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