Yaşlılarda Düşme Tespiti ve Önlemede Yapay Zeka Teknolojilerinin Kullanımı

The rapidly increasing older people population around the world brings with it many social difficulties and economic burdens. Falls, which are more common in individuals aged 65 and over, significantly affect mobility, general health, injury, death and admission to healthcare institutions in this population. A major contributing factor to falls is that many seniors live alone and it is difficult to supervise and monitor these seniors. Therefore, e-health technologies are of critical importance for elderly people living alone. Technological systems, such as artificial intelligence (AI) and the internet of things (loT), which emerged with the rapid development of technology and are increasingly used in health and many other areas, have opened an important page in monitoring the health status of the elderly, fall detection and rescue systems. These systems offer important solutions to prevent falls and reduce their impact by quickly transporting elderly people to emergency services or by detecting falls early and notifying the healthcare institution/patient’s relative/caregiver. Thus, it reduces the risk of death, injury and fall-related health expenses. To help the elderly live easier and better, cutting-edge studies using AI systems and the loT such as sensor, infrared, hardware technologies, machine learning and deep learning have shown that these technologies can be used to monitor falls in older adults in real-time and long-term without human intervention. It shows that it will be one of the best solutions for prevention.