Medical revolution. This is how technology changes hospitals around the world

Sztuczna inteligencja

Modern digital infrastructure and artificial intelligence change the face of modern medicine.

Data centers enable the analysis of huge medical data sets, supporting diagnostics, treatment and discovering new drugs.

Digital medicine transformation with the support of data centers

According to data, the health sector generates up to 30 percent. all digital information in the world. The growing number of data, driven by digitization and computerization, creates great potential in the treatment of diseases and personalization of healthcare. However, without proper infrastructure, their analysis would be impossible.

The role of artificial intelligence in the analysis of medical data

The development of artificial intelligence has contributed to a significant acceleration of diagnostic processes. AI algorithms can analyze thousands of medical records in a few seconds, which would recently occupy months of research teams. This allows doctors to make quick diagnostic decisions and adapt the therapies individually to the needs of patients.

Safe exchange of data with the key to progress

To fully use the potential of AI, cooperation between health facilities is necessary. Safe cloud infrastructure and inter -system connections are important, which allow you to exchange genomic and medical data around the world. This solution enables faster tests on cancer, genetic diseases and other diseases.

Efficiency and privacy of medical data

Effective data analysis requires access to efficient servers, cleaning and integration of information from various sources. In addition, the protection of sensitive patient data is becoming a priority. Private AI infrastructure allows you to safely carry out computing operations without exposing data to violations.

An example of the use of AI in practice

– Equinix data centers support the health sector and research institutions in the use of AI, e.g. to diagnose diseases at a very early stage. A good example is Harrison.Ai, which uses artificial intelligence to analyze x -rays, which helps doctors make a diagnosis faster. The company uses the NVIDIA infrastructure placed in the Equinix data center. This private implementation of artificial intelligence resulted in a 8x increase in data processing efficiency and shortening of models training from months to several days-says Sylwia Pyśkiewicz, managing director of Equinix in Poland.

Benefits for patients, doctors and scientists

The use of AI and data centers in medicine contributes to improving the quality of healthcare, reduces the diagnosis time, reduces test costs and allows you to create more effective drugs. Thanks to cooperation and exchange of data between institutions, it is possible to discover new therapies that save lives.

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