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01.07.24

Machine vision

In the field of medical services, there is a gradual but active integration of cloud computing and artificial intelligence technologies. Our project team monitors these changes and is always happy to tell you about them — hello@bot4.ai This is due to the fact that modern medicine is becoming increasingly patient-centred. The aim is to improve the quality of medical services and clinical outcomes. In doing so, it helps to improve and prolong the quality of human life.

The next step in the development of artificial intelligence infrastructure has already been taken. This is evidenced by the fact that today’s advanced artificial intelligence models are rapidly changing our lives. The accelerated computing infrastructure is evolving at an unprecedented pace across all market segments. Flexible, reliable and scalable infrastructure with next-generation GPUs opens a new page in the development of artificial intelligence.
Gaining quick access to patient information, no matter where the patient or provider is located, is becoming a key requirement to achieve these goals. It is only through the utilisation of artificial intelligence technologies in conjunction with NVIDIA Supermicro that this requirement can be met, as Supermicro offers one of the most extensive ranges of NVIDIA certified systems, which provide optimal performance and efficiency.

The emergence of the latest technological and scientific achievements has contributed to the integration of artificial intelligence (AI) in the field of modern healthcare (we can tell you more about this hello@bot4.ai ), especially in the context of the global pandemic caused by the novel coronavirus (COVID-19). Artificial intelligence (AI) and AI-based machine learning algorithms are being used in medical institutions to assist specialists in their clinical work and ongoing research.

Supermicro plays a pivotal role in this process, as NVIDIA solutions are demonstrably up to 8x faster on Supermicro hardware compared to competitors. Supermicro manufactures servers that are both highly dependable and perform at a high level of performance, which are powered by NVIDIA Ampere GPUs. The aforementioned servers assist employees in making informed decisions regarding the treatment, medications, mental health, and other patient needs.
At present, the two most prevalent applications of AI in healthcare settings are clinical decision support and image analysis. The expedient access to pertinent information or research provided by Supermicro servers contributes to the enhancement of healthcare quality and clinical outcomes.

In the field of medical imaging, artificial intelligence (AI) tools are employed to analyse computed tomography (CT) scans, X-rays, magnetic resonance imaging (MRI) scans and other images with the objective of identifying lesions or other findings that a human radiologist might overlook.

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