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Healthcare

Data and AI are transforming the care ecosystem across the entire lifecycle—from prevention and diagnosis to treatment, recovery, and operations—by making systems more intelligent, connected, and outcome-driven. AI-enabled patient monitoring, wearables, and ICU platforms analyse continuous clinical data to predict risk and enable proactive care, while imaging domains such as CT, MRI, ultrasound, and digital pathology leverage advanced image processing, vision transformers, and multimodal AI to improve diagnostic accuracy and workflow efficiency. Therapeutic and surgical systems apply AI for closed-loop control, precision guidance, and outcome optimisation, alongside robust data and document management platforms that automate regulatory filings, FDA submissions, pharmacology documentation, and clinical trial records. Together, these capabilities accelerate approvals, strengthen compliance and post-market surveillance, and tightly integrate clinical, device, and operational data across the medical and pharmaceutical landscape.
Real time motion correction software for MRI machine involves Real time motion probing, Acquisition of the Nuclear magnetic resonance signal, Determine the heart position from the echo, Graph display, Normalize and display the raw data- Fine tune the scan parameters for proper image position using determined heart position
IoT based sensors can track various parameters and positions of an senior citizen inside home. The curated movements, change of parameters can be monitored by an intelligent agent that routes major and minor events and predicted fatal incident for human attendants’ attention
Intima Media thickness of the Carotid artery is directly related to the risk of stroke. IMT thickness can be measured using image processing, machine learning models to identify the risk of failure
IoHT System and Analytics Development For Vital Signs can be measured by connecting various monitoring systems. ECG, SPO2, Blood glucose, and heart rate data were transferred for bedside monitoring using well-known universal protocols and can be analysed using a machine learning model.
Construction:  Robots and drones can be easily deployed for various operations in the EPC industry. Many existing use cases of asset management, device operation, fleet management, and safety applications have immediate relevance in the construction of EPCs. Some implementations and adaptations have already started in the above use cases.

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