Revolutionising healthcare analytics and digital health with LLM and Generative AI to make the most of data, assets, and resources, improving efficiency and enhancing the performance of clinical and operational workflows, processes, and financial operations.
Brings Intelligence to medical devices
Creates Smart Wearable Devices
Health Analytics using Images, using cameras(selfies) as diagnosing tools
Turn Electronic Health Records into Risk Predictors
Create Clinical Decision Support Tools
Identify risks of antibiotics resistance, Drug doses, Infection patterns
Incorporating Artificial Intelligence enabled Strategy in Healthcare Sector Automated Image Diagnosis
Identify Cardiovascular abnormalities, involving Medical Image insights, personalized medications, and care, Patient Data Analytics, automated diagnosis, and prescriptions. Gene Analytics and Drug Discovery.
Patient Real-Time Monitoring, optimizes machine utilisation, Real-Time treatment, Real-Time and Service Management, Remote Health Monitoring, Multiple device integration, Wearable devices, capture and manage Real-Time data.
It involves Personalised responses with Contextual Understanding, Voice notifications, Voice navigation and correction, Speech-to-Text Recognition.
Building Generative AI powered Healthcare Applications
The use of wearable devices can be an applied AI to detect diseases like cancer or to monitor Cardiac diseases at a very early stage, supporting doctors to correctly identify and monitor the health status.
AI is being implemented at various levels across different hospitals worldwide to solve the issues of misdiagnosing. AI is capable of processing the information much faster than humans and can enhance the diagnosing power with accurate results.
Improving patient care requires the correctly recorded aligned medical data for appropriate and timely decisions. Innovative AI techniques using predictive analytics will support in maintaining the public health by generating far accurate Decision Support Systems and Devices.
AI is leading to the world where critical surgeries and operations can be made possible using Robotics. Not only surgery but also self diagnosing and management for long term diseases is possible in this AI world, as robots are comparably much faster and more accurate than humans to achieve better health treatments.
Digitization can help healthcare professionals in making decisions and discover faster than the existing ways. It will also pave new tracks to search for more efficient tools and techniques of AI that can help in improving healthcare.
VRs in Healthcare have shown big advantages including the improvement of training the healthcare professionals through realistic and accurate simulations, thus improving comprehension and retention.
Ethical AI in Healthcare and its Principles
Artificial Intelligence and Machine Learning have transformed the HealthCare business by revealing previously unknown insights into Clinical Decision-Making, recognising Cardiovascular irregularities, detecting fractures, and diagnosing neuron-disorder disorders. Individual patient engagement and empowerment can be achieved through fitness tracking via IoT wearable devices, remote health monitoring, real-time location sharing, telemedicine services, rehabilitation robotics, and physical therapies.XenonStack delivers services for Digital Transformation in Healthcare with Internet of Medical Things, Predictive Analytics, Precision Medicine and Electronic Health Records Solutions
02 April 2023
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