New AI fall prediction tool is gaining ground in Singapore
Nanyang Polytechnic (NYP) is expanding the trial of its new AI-based fall prediction tool.
Developed in collaboration with medical technology company Longway AI Technologies, the AI system is trained via a 3D convolutional neural network, a deep learning model that teaches a computer to process data the way the human brain and nervous system do. More than 200 hours of videos of human activities involving walking were used and trained with the system so that it could detect signs of unsteady gait and then alert the relevant healthcare teams.
Since being built in 2020 at NYP’s Center for Innovation for Electronics and Internet of Things, it has been tested at Singapore General Hospital and St. Luke’s ElderCare Rivervale Centre. A new trial is underway at the SASCO Senior Citizens’ Home, while another pilot is planned at St. Andrew’s Nursing Home. NYP is also in discussions with geriatric units across the country to expand the use of its technology.
Konkuk University Hospital, Neurophet is committed to AI-driven research into Alzheimer’s disease
Konkuk University Hospital and AI medical imaging company Neurophet have signed a research collaboration agreement to further improve AI-based imaging for the diagnosis of Alzheimer’s disease.
Neurophet has developed AI-powered solutions – Neurophet AQUA and Neurophet SCALE PET – that automatically analyze PET and MRI scans to detect biomarkers of Alzheimer’s disease, including amyloid beta and tau proteins. Work is currently underway to develop one new solution for the total diagnosis of Alzheimer’s diseaseincluding monitoring amyloid-related imaging abnormalities.
Researchers from Konkuk University Hospital’s Department of Radiology who focus on Alzheimer’s disease research are expected to contribute to Neurophet’s ongoing R&D efforts using data from the university hospitals.
Latest Remote Patient Monitoring Integrations at Apollo Hospitals in India
Apollo Hospitals in Seshadripuram and Bannerghatta Road, both in Bangalore, have introduced remote patient monitoring inside and outside their facilities.
The Seshadripuram facility recently partnered with LifeSigns to install its 24/7 wireless RPM system that uses AI and wearable biosensors to continuously monitor vital signs such as ECG, blood pressure and SPO2, both in the hospital and at home.
Meanwhile, the Bannerghatta Road branch has introduced HealthNet Global’s connected ambulance. Powered by 5G connectivity, it provides a live visual feed via built-in cameras and bodycams for paramedics and enables real-time monitoring of vital signs using telemetry equipment and patient monitoring applications. The connected ambulance is touted to improve communication, collaboration and decision-making among medical teams.