Life expectancy is increasing in the world population. With that, it is expected that the prevalence of diseases associated with old age, such as cancer, will also increase. For this reason, Philips is investing in technology to improve detection of the disease.
One of the crucial points in the treatment and prognosis of cancer is the early diagnosis. A 70% increase has occurred in the number of new cases in the United States alone. Medicine fights against time to increase the efficiency of detection methods. As well as greater accuracy and agility in diagnosis by pathologists.
Computational Digital Pathology
Philips has moved ahead and invested in Computational Digital Pathology since 2017. It’s a technology that enables pathologists to diagnose from digital images and data. It works more efficiently by enabling multidisciplinary analysis among various professionals.
In addition to supporting health professionals, this system also focuses on machine learning and algorithms. This assists physicians in the evaluation of tumors from images of pathological exams and molecular profile data from tumor cells.
Artificial Intelligence has been an ally of medicine for a number of years. Especially when it comes to imaging. Imaging is one of the key tools in detecting cancer. From the evaluation of patterns in images, AIs have been able to identify breast tumors with 100% efficiency, according to a study by Case Western Reserve University.
All this work depends on the partnership between the companies that develop the technologies, the opinion leaders of the area and health institutions. So that large sets of diagnostic data are offered to the AIs for the learning and construction of algorithms. The challenge now is to ensure the introduction of these methods into clinical practice safely to accelerate and enhance the accuracy of cancer diagnosis.
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