Artificial Intelligence and Robotics in Geriatric Practice: Clinical Applications, Benefits, and Challenges

Abstract Sustainability-oriented innovation approaches to geriatric care are becoming increasingly essential as the number of older people is advancing at a breakneck pace. Artificial intelligence (AI) and robotic devices are being used more nowadays to address concerns related to multimorbidity, cognitive decline, functional disability, and social isolation in older populations. This commentary highlights specific approaches and applications by outlining key findings on the use of robots and AI in the care of the elderly. Application of robotic technologies, such as socially assistive service and rehabilitation robots, helps in improving psychosocial well-being, functional recovery, and decreasing the burden of caregivers. Many of the recent AI-based systems have proven helpful in risk prediction, dementia screening, telegeriatrics, and fall detection among the elderly. PARO (AIST, Japan), ElliQ (Intuition Robotics, Israel), wearable fall detection approaches, speech-based AI models, and rehabilitation exoskeletons are a few examples of social robotic technologies that demonstrate the translational potential of these advancements. Ethical problems, data bias, privacy risks, and implementation difficulties persist despite such promising results. The future study should focus on age-inclusive AI, essential clinical validation, and incorporating these technologies into individual-centric geriatric care.