Fujifilm and Juntendo Hospital in Japan have developed an AI that can accurately predict the risk of falls among outpatients using hospital data.
Their research team collated over 500 features associated with falls, including age and prescription history, from hospital data collected in Fujifilm's CITA Clinical Finder. The data platform is used to centrally manage data across various hospital...
SafelyYou, maker of AI-enabled technology for fall detection and prevention, scooped up $30 million in Series B funding months after the close of its $19.5 Series A round.
The round was led by Omega Healthcare Investors, with participation from SCAN Group.
Omega Healthcare Investors, a real estate investment trust that focuses on long term and senior care, also prepaid $10 million to install...
Berlin-based Lindera will use the €6 million funding to help secure international growth and expand its use of artificial intelligence in the healthcare sector.
WHY IT MATTERS
Studies show that the Lindera SturzApp sustainably reduces the risk of falls by up to 20% in older populations and creates time and resource for care-giving staff.
The app is currently in use in more than 350 care...
San Francisco-based PeerWell has added an augmented reality feature to its app, which helps post-surgical patients manage their recovery. The tool, called PeerWell's Trip and Fall Hazard Detector, uses the phone's camera to analyze a user's home environment and provide suggestions about how to minimize the risk of falls.
“Falling is a top driver of injuries in older adults, and of special concern...
It looks like a simple fire alarm, but instead of detecting smoke the Kardian Contactless Health Monitoring System is designed to detect falls.
The wireless system uses impulse radio ultra-wideband radar technology and can scan a room one million times per second. The system scans for slips and falls, including sliding falls, and also for when someone sits up quickly, which could alert hospital...
