Nanyang Polytechnic (NYP) has broadened the trial phase of its innovative AI fall prediction system. This sophisticated tool, which predicts potential falls, was crafted in partnership with Longway AI Technologies, utilizing advanced 3D convolutional neural network technology for its training.
Enhanced AI Predictive Model for Fall Prevention
The AI system was meticulously trained using over 200 hours of human activity video data, emphasizing gait analysis, to identify and warn about potential instability in walking patterns. The initiative, which commenced in 2020 within NYP’s Centre for Innovation for Electronics and Internet of Things, has already been trialed in healthcare facilities such as Singapore General Hospital and St. Luke’s ElderCare Rivervale Centre. Current and future trials are slated for SASCO Senior Citizens’ Home and St. Andrew’s Nursing Home, with plans to extend the tool’s reach across other geriatric departments.
Collaborations for Alzheimer’s Research and Remote Monitoring
In another development, Konkuk University Hospital has partnered with Neurophet, an AI medical imaging company, to propel AI-driven research for Alzheimer’s disease diagnostics. Neurophet’s cutting-edge AI tools, Neurophet AQUA and Neurophet SCALE PET, are designed to automatically analyze brain scans for Alzheimer’s biomarkers. The collaboration intends to advance a comprehensive diagnostic solution that includes monitoring imaging abnormalities related to amyloid plaques.
Simultaneously, India’s Apollo Hospitals are integrating remote patient monitoring technologies. The Seshadripuram branch in Bangalore has teamed up with LifeSigns to deploy a wireless system that monitors patients’ vitals round-the-clock using AI and wearable sensors. The Bannerghatta Road branch has embraced HealthNet Global’s 5G-enabled connected ambulance for live patient monitoring, which is expected to improve the medical team’s response and collaboration.
