By contributing to Technology, AI has become the most powerful thread of the IT web. It has intrigued every field of business, including healthcare. Similarly, IOMT – Internet of Medical Things is revolutionizing and going to capture the entire healthcare segment in the coming years.
The primary aim of AI-enabled healthcare applications is to analyze complicated medical data by providing approximate conclusions without human input as different sets of algorithms are used along with machine learning algorithms.
Healthcare is adding Artificial Intelligence into every possible case. Below are the different trends of AI in Healthcare :
- AI in Radiology
- AI for 3D Imaging
- AI for training
- AI for Research
Healthcare organizations, working on AI-enabled applications are using different platforms such as NVIDIA’s CLARA, an intelligent compute platform for medical imaging and Parabricks (Next Generation Sequencing) DNA Data.
Cloud GPU servers are empowering the AI-enabled healthcare applications in many ways. Parallelization of multiple CPUs and real-time analytics capabilities are two of the strongest components of GPU servers.
E2E Networks provides Cloud GPU Servers integrated with NVIDIA GPU cards, which can bring down your research, model training from months & weeks to days & hours and help you to deliver fast without being expensive.
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