Automation and Artificial Intelligence, Keys to Better Diagnosis

The Process automation In a hospital environment it leads to improved efficiency, increased patient safety and more accurate diagnoses. The technology Now it allows automation of the main manual or analog processes needed for diagnosis. This was stated by the experts who participated in the round table dedicated to digital histopathology within The 16th Signo Foundation Symposium on Management and Evaluation in Healthwhich was held in Granada.

Experts point out that technology already allows Digitizing photos To better see more possible diseases for the patient, and even specialists have tools to help them with diagnosis and decision-making.

Each transformation brings with it some challenges, but also opportunities and Raymond Garcia del Moraldirector of the pathological anatomy unit in Granada, believes it may be a Encouraging future generationsfor both technicians and future pathologists, as it adds a digital component to these profiles.

In radiology, digital diagnosis and the use of post-treatment tools are part of today’s everyday diagnosis. Anthony Munradiologist and medical director of HT Médica, a group that already performs diagnostics in the digital sphere, suggests “building on the knowledge gained through the digital transformation implemented in raysTo accelerate digitization and use artificial intelligence in the field of pathology.

in this meaning, Frederick the Redhead of the histopathology service of the Jimenez Diaz Foundation, explains that his center launched a digitization project “five years ago” and the immediate effect was “an increase Safety diagnostics, increasing the accuracy of the information we produce and improving the quality of care.” Rojo asserts that his service has shown an “increase in productivity 18 percent in this period, in addition to reducing the diagnostic response time to less than 5 days in all cases.”

The Quality It’s an important component and so it stands out Virginia De LucasSupervisor of the Pathological Anatomy Service at Fundación Jiménez Díaz: “In addition to reducing the time for diagnosis, which in itself is a very important benefit in serious diseases such as cancerDigital histopathology also stands out for the quality of diagnosis, allowing us to provide more accurate data that can be very useful for patient management.”

Jose Aneros, responsible for computational pathology at the Regional Unit of Histopathology in Granada, presented data from the Delphi study with the participation of pathologists, technicians and biologists from all over the world, where specialists visualized the competence of digital pathology. It highlights that even some pathologists have defined themselves as digital pathologists and this is the fact that is found in digital transformation Among the 17 centers, including hospitals and diagnostic laboratories, work on digital pathology thanks to Philips solutions.

More information and cooperation between centers

For experts, it’s only a matter of time before more centers and labs join the digital pathology service network. Grid effect will facilitate Information exchange and cooperation between centers Thanks to the possibility to consult issues with experts through web solutions.

Experts involved in The Sixteenth Symposium of the Signo . Foundation They also highlighted that the digitization of histopathology should be another tool in the diagnostic arsenal in the future, which will be supported by genomic and proteomic data, liquid biopsy techniques and algorithms that should represent, in an integrated way, a major advance in diagnostic procedures.

The health technology sector continues to work on algorithms to support diagnostics which is why Philips chose to open digital pathology And enabling the integration of algorithms from different providers, giving the pathologist the choice of algorithms to implement or integrate according to their needs.

Recent debate has focused on the future of anatomical pathology, and has put on the table the evaluation of comprehensive technology-based working groups, as well as a potential next level of predictive algorithms, trained with large databases and management Clinical information with big data.

The future, according to experts, lies in owning Algorithms From supporting the pathologist with more complex diagnoses, but also to routine tasks that free the pathologist from repetitive tasks and allow them to focus on cases that require additional study.

Although it may contain statements, statements, or notes from health institutions or professionals, the information in medical writing is edited and prepared by journalists. We recommend the reader to consult a health professional for any health-related questions.

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