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Dedalus Introduces AI-Based Pathology Solution

The company specialized in digital health solutions and clinical diagnosis, Dedalus, has presented its comprehensive solution for digital Pathology Anatomy, based on artificial intelligence.

The solution consists of a transversal digital platform, designed by and for pathologists, that allows the deployment of integrated diagnostic systems throughout the care process, to achieve a comprehensive and precise diagnosis that allows accelerating the application of new personalized therapies.

In addition to the improvement in accuracy and the reduction of the time of diagnosis, this solution incorporates a key value to the system, such as equity for patients and professionals, creating a collaborative, more efficient and well-resourced environment. This allows pathologists to network, regardless of their location, and make more informed decisions for offer patients more personalized results. And, in addition, it preserves the images of the histological preparations in the long term, so that the doctors have access to them at any time and from any place. All this is possible thanks to the remote management of workflows and sample traceability, and a multidisciplinary diagnostic viewer, with annotation and measurement tools, and sharing of images and clinical documents.

Also, this new solution incorporates the telepathology and an efficient digital sample storage solution. Artificial intelligence will be a support tool in clinical decision-making, which will provide precision and reliability in the diagnosis and will allow focusing on the areas of interest.

Ricardo Mazon Canalesresponsible for the Diagnostic Area for Dedalus Iberia, highlights that “AI is of great help in optimizing resources and in detection. The digitization of Pathology through digital diagnostic support platforms, enriched with AI algorithms, help improve the pathologist’s experience and the quality and accuracy of diagnosis, a critical basis for advancing in personalized and precision medicine. If a patient goes to a center and they take a tissue sample, which is digitized with special scanners, it is not necessary for the pathologist to be in that hospital; she can be in another center and make a diagnosis from there, thanks to the diagnostic network offered by the platform, providing equity at the level of professionals and patients ”.

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The pathology of the future, powered by artificial intelligence

The increase in demand for pathological anatomy services and the lack of professionals in this sector is causing laboratories invest in different digital solutions, most of them focused on reducing diagnostic time, without losing the high level of precision. Digital pathology aims to provide pathologists with better tools so that they can carry out their work more efficiently.

Dr. David Hardisson, head of the Pathological Anatomy Service of the La Paz University Hospital assures that “It’s important to put attention on digital pathology is not limited to scanning and digitization of microscopic preparations, but rather opens the door to computational pathology and the application of artificial intelligence algorithms and big data, which help us achieve more accurate diagnoses in fields as relevant to patient management as the assessment of biomarkers in tumor pathology”.

The implementation of digital pathology has important challenges linked mainly to the necessary cultural and organizational change that allows pathologists embrace this new model that will undoubtedly improve their professional experience and the impact on patients”.

In addition, the doctor emphasizes that “it is a great opportunity rather than a threat, and for this reason, our commitment to digitalization in the Pathological Anatomy Service of the La Paz University Hospital is clear. We are firmly convinced that this is the correct way to continue advancing towards excellence in diagnosis and equity in service, since, for example, thanks to genomics, AI and big data we will be able to accelerate the application of medicine 5P with a comprehensive diagnostic approach from the Pathological Anatomy Service”.

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