New AI fall prediction tool goes viral in Singapore
Nanyang Polytechnic (NYP) is expanding trials of a new AI-based fall prediction tool.
Developed in collaboration with medical technology company Longway AI Technologies, the AI system was trained through a 3D convolutional neural network, a deep learning model that teaches computers how to process data in the same way as the human brain and nervous system. His over 200 hours of videos of human activities related to gait were trained on the system, which can now detect signs of unsteady gait and alert the relevant care team.
The device was built at NYP’s Innovation Center for Electronics and Internet of Things in 2020 and has since been piloted at Singapore General Hospital and St Luke’s Eldercare Rivervale Centre. A new trial is underway at SASCO Nursing Home, while another pilot trial is scheduled for St Andrew’s Nursing Home. NYP is also in talks with geriatric departments across the country to expand the application of its technology.
Konkuk University Hospital and Neurofet collaborate on Alzheimer’s disease research using AI
Konkuk University Hospital and AI medical imaging company Neurophet have signed a research collaboration agreement to further enhance AI-based image processing in Alzheimer’s disease diagnosis.
Neurophet has developed Neurophet AQUA and Neurophet SCALE PET, an AI-powered solution that automatically analyzes PET and MRI scans to detect Alzheimer’s disease biomarkers, including amyloid beta and tau proteins.Currently under development A new solution for comprehensive diagnosis of Alzheimer’s disease, including monitoring of amyloid-related imaging abnormalities.
Researchers from Konkuk University Hospital’s Department of Radiology, which focuses on Alzheimer’s disease research, are expected to contribute to Neurofet’s continued research and development activities by utilizing data from the university hospital.
Modern remote patient monitoring integration at Apollo Hospitals, India
Apollo Hospitals at Seshadripuram and Bannerghatta Road in Bengaluru has introduced remote patient monitoring within and outside the facility.
Seshadripuram branch recently partnered with LifeSigns to deploy a 24/7 wireless RPM system that leverages AI and wearable biosensors to continuously track vital signs such as ECG, blood pressure, and SPO2 in the hospital and at home Did.
Meanwhile, the Bannerghatta Road branch has installed HealthNet Global’s connected ambulances. Leveraging 5G connectivity, it provides a live visual feed to emergency personnel via in-vehicle and body cameras, allowing them to monitor vital signs in real-time using telemetry devices and patient monitoring applications. Connected ambulances are touted to enhance communication, collaboration and decision-making for medical teams.