CAROLINA SOUZA LEITE DE CARVALHO & DAVI FONSECA MELO
Edition Prof. Dr. MAURÍCIO VELOSO BRANT PINHEIRO
Dep. de Física, UNIVERSIDADE FEDERAL DE MINAS GERAIS
Agosto de 2024
Introduction
Population aging is one of the major challenges of contemporary society. WHO projections indicate that by 2050, the proportion of the global population aged 60 and over will nearly double from 12% to 22% [WHO, 2022]. This phenomenon, driven by increased life expectancy and declining birth rates [Mundo Educação, 2019], brings a series of socioeconomic and public health challenges. To ensure the quality of life for the elderly population, it will be necessary to address issues such as the rising demand for healthcare services, the growth of the dependent population, and the need to adapt social and economic infrastructures.
However, there is a noticeable lack of preparedness on the part of the government to address this reality, resulting in various gaps and systemic weaknesses. For example, the infrastructure of the Unified Health System (SUS) is not equipped to handle the increased demand for healthcare services resulting from population aging, with a shortage of geriatric beds, specialized professionals, and specific medications for chronic diseases [Jornal da USP, 2019].
The insufficiency of actions by the Brazilian government, especially over the past two decades of predominantly leftist and welfare-oriented administrations, is also paradoxically evident in other critical areas. In this context, the availability of suitable housing in the country is insufficient [Fundação João Pinheiro, 2024], exposing the elderly to situations of risk and social vulnerability, as accessibility, safety, and integrated services are often neglected. Additionally, violence against the elderly, including physical, psychological, financial, and sexual abuse, is growing alarmingly, necessitating more effective protection and prevention measures [Agência Brasil, 2024].
In addition to these challenges, the elderly population faces psychophysical changes inherent to the natural aging process. According to the World Health Organization (WHO), 16% of older adults worldwide suffer from some form of mental disorder [WHO, 2021]. In Brazil, the population aged 60 to 64 leads the ranking of those most affected by depression, with approximately 13% of this demographic affected [IBGE, 2019]. This is partly due to loneliness and social isolation, caused by the lack of public policies aimed at promoting active aging and social inclusion for the elderly. From a physical standpoint, in the musculoskeletal system, for example, muscle mass tends to decrease over time, which can lead to muscle weakness, loss of strength, and motor coordination, increasing the risk of falls, fractures, and other accidents [Drauzio Health, 2018].
On the other hand, the demographic trend also presents opportunities for the development of new technologies and innovative solutions that can improve the quality of life for the elderly. In this context, artificial intelligence (AI) emerges as a promising tool to help overcome the challenges of this social transformation. Its applications include enhancing mental health, reintegration into active life, emotional presence, and mental stimulation. For example, chatbots and conversation applications can offer emotional and social support to the elderly, combating loneliness and isolation [CanalTech, 2023].
In this article, we show how Artificial Intelligence (AI), through its various tools, presents vast potential to revolutionize the way we care for the elderly, contributing to the promotion of health, autonomy, quality of life, and safety, fostering a more active, healthy, and happy aging process. With the proper use of AI, the mass effects of population aging can be adequately supported, allowing the challenges of demographic evolution, such as the unpreparedness of authorities and the fragility of the physical body, to be mitigated and overcome.
Artificial Intelligence and Elderly Health
Artificial Intelligence (AI) stands out as a powerful ally in promoting the health and well-being of the elderly. Through a set of innovative tools, this technology significantly contributes to various aspects of care for this population. Notable examples include wearable devices and sensors that monitor vital parameters, providing real-time data on patients’ health. AI can analyze this data, identifying anomalies and alerting to potential health issues. This enables early interventions, preventing complications, and promoting more proactive care.
A concrete example is the ongoing study at the University of California, San Francisco, where 500 elderly individuals with hypertension were divided into two groups. The first group received standard hypertension care, including medical consultations, medications, and manual blood pressure monitoring. The second group received smart wristbands that continuously monitor blood pressure, heart rate, and physical activity. The data collected by the devices was sent to a mobile application, accessible to both the elderly and their doctors. As a result, participants who continuously monitored their blood pressure with AI had half the chance of being hospitalized for hypertension-related issues compared to the first group [UCSF, 2023].
Another example is the caregiver robot Pitoco, developed by computer scientist Gustavo Pantuza Coelho Pinto from the Federal University of Minas Gerais (UFMG). This robot, which was recognized by the Finep Innovation Award in Social Technology, was designed to assist the elderly, especially those suffering from neurodegenerative diseases such as Alzheimer’s. The robot monitors the elderly person’s routine and identifies potential warning signs, such as falls or prolonged periods of inactivity. It also sends medication reminders, ensuring that the elderly take their medications at the correct time [Estado de Minas, 2014].
AI is also revolutionizing medical diagnostics, ushering in a new era of speed and efficiency. AI algorithms are capable of analyzing medical images, such as X-rays, CT scans, and ultrasounds, with a level of accuracy superior to the human eye, assisting professionals in the early detection of diseases and enabling more precise decision-making. For example, the Paige AI system [PAIGE AI, 2024] uses deep learning algorithms to analyze mammogram images with 95% accuracy, detecting signs of cancer in its early stages.
However, there are still challenges in implementing artificial intelligence in elderly healthcare. One of the main challenges is ensuring that AI innovations are accessible and easy to use, as many elderly individuals may struggle with complex platforms due to a lack of familiarity with technology. This can limit adherence to and use of these tools—38% of Brazilians over 60 years old cited unfamiliarity with online language as the main problem in using technology [FEBRABAN, 2023].
The issue of digital exclusion and social inequality in accessing this technology also emerges as a significant obstacle in incorporating AI into elderly healthcare, threatening to deepen existing disparities among different population groups. A study conducted by UFMG, published in 2012, analyzed the challenges faced by elderly individuals in vulnerable social situations regarding access to technology. The research concluded that a lack of technical knowledge, the high cost of devices, and difficulty accessing the internet are the main barriers to digital inclusion for this population [Gandra et al. 2021].
AI in the Daily Lives of the Elderly
Autonomous cars and assisted vehicles represent a revolution in elderly mobility, offering greater safety in transportation, especially for those who can no longer drive. Data from Waymo [Waymo, 2024], an autonomous taxi service operating in Phoenix, Arizona, in the United States, indicates that its autonomous cars have already traveled over 40 million miles without any accidents. With the use of AI, transportation becomes easier and more autonomous, allowing the elderly to maintain their independence and improve their quality of life [YourStory, 2023].
Artificial limbs offer increased strength, flexibility, and balance, allowing elderly individuals with mobility limitations to perform activities that were previously difficult. Open Bionics, a British company pioneering in assistive technology, has developed smart prosthetics with sensors and artificial intelligence, such as the ‘Hero Arm,’ which adapt to each user’s needs, restoring functionality, independence, and quality of life. These prosthetics are lightweight and use sensors that detect muscle movements, facilitating actions like grasping, pinching, and even writing [Open Bionics, 2024].
LifeWard (formerly ReWalk), an Israeli assistive technology company, has developed exoskeletons powered by sensors that monitor movements and control motors to ensure a natural and safe gait for the user. These exoskeletons enable elderly individuals with advanced motor limitations to walk with greater naturalness and independence, enhancing their quality of life and reintegration into society [ReWalk, 2024].
Medication management is a crucial aspect of elderly care, especially for those taking multiple medications or dealing with comorbidities. Medication errors can lead to serious consequences, such as undesirable side effects, drug interactions, and even hospitalizations. Augmented reality (AR) emerges as a tool to facilitate this management, providing greater safety and autonomy for the elderly. This technology allows for the easy identification of medications, even those with generic names or similar packaging. Through image recognition, the app identifies the medication and displays information such as the brand name, active ingredient, dosage, and usage instructions. The “Pill Identifier and Drug Search” app is an example focused on drug recognition, allowing users to identify pills and capsules by image and providing detailed information about each drug, including the option to set reminders for medication schedules [Pill Identifier and Drug Search, 2024].
However, a significant barrier to the effective use of AI in the daily lives of the elderly is the high cost of research and development amid socioeconomic challenges—57% of Brazilian elderly live on up to two minimum wages per month, and 18% have no personal source of income [SESC SP, 2020]. This reality excludes many amputees and elderly individuals from the benefits that AI-powered prosthetics can offer, as the high cost of research and development is reflected in the final price of these prosthetics, making them inaccessible to those with limited income. For example, exoskeletons developed by ReWalk cost around 100,000 euros [Orthexo, 2024]. Consequently, the benefits of technological innovations are restricted to individuals with greater purchasing power, creating disparities in healthcare access and quality of life, and perpetuating social inequalities.
Artificial Companionship for the Elderly
Loneliness and social isolation are significant challenges faced by the elderly population. Artificial companionship, driven by artificial intelligence (AI) technologies, emerges as a promising solution to mitigate these issues by providing emotional and social support. This topic explores the effectiveness and benefits of artificial companions for the elderly, based on recent studies.
Artificial companions, in the form of virtual assistants and social robots, have shown considerable potential in providing emotional support and enhancing the quality of life for the elderly. A recent study [Moyle et al. 2018] investigated the impact of the social robot Paro on elderly individuals with dementia and found notable improvements in social interaction and reduced feelings of loneliness. The robot, which simulates a pet, provided a source of comfort and companionship, promoting social engagement among nursing home residents.
Another example is the virtual assistant Jibo [MIT Media Lab, 2019], which demonstrated significant capabilities in engaging in natural, personalized conversations with the elderly, helping to reduce loneliness. The study highlighted that the presence of an artificial companion can foster feelings of security and well-being, as well as provide reminders and support for daily activities.
Interaction with artificial companions not only addresses loneliness but also promotes the emotional health of the elderly. Robots like Pepper, which can recognize and respond to human emotions, have proven particularly effective in creating a sense of connection and empathy [The World, 2020].
Despite the benefits, the use of artificial companions raises ethical and practical questions, with concerns about excessive reliance on robots and the potential reduction of real human interactions. A study suggests the need for a careful balance between technology and human interactions to ensure that the emotional and social needs of the elderly are fully met [Bradwell, H.L., 2020].
Artificial intelligence, in the form of artificial companions, offers an innovative and effective solution to address the challenges of loneliness and social isolation among the elderly. Studies have shown that social robots and virtual assistants not only provide companionship but also enhance emotional well-being and quality of life. However, it is crucial to address ethical and practical considerations to ensure a balanced and effective implementation of these technologies.
Challenges:
1. Privacy and Data Security
The application of artificial intelligence (AI) as a tool to address challenges faced by the elderly offers significant benefits, such as personalized assistance, health monitoring, and emotional support. However, these applications also raise critical questions about privacy and data security. This topic addresses the challenges, considerations, and best practices related to protecting the personal data of elderly individuals in the technological context.
AI solutions for the elderly often involve the collection of sensitive data, such as health information, behavior patterns, and social interactions. Therefore, it is crucial to ensure that data collection is conducted transparently and with informed consent from users. Intuitive interfaces that clearly explain how data will be used and protected are essential to ensure the elderly’s understanding and consent [Pickering, B, 2021].
Storing and protecting personal data is crucial to prevent unauthorized access and leaks. Implementing advanced encryption techniques and using secure servers are highlighted as essential practices for safeguarding elderly data. The study recommends adopting robust security protocols, such as using virtual private networks (VPNs) and multi-factor authentication systems, to enhance the security of stored data [IBM, 2024].
AI use also exposes the elderly to cyber risks, including fraud and privacy invasions. Proactive measures, such as conducting regular security audits and educating users on safe browsing practices, are essential to mitigate these risks. The study suggests that AI solution developers should incorporate incident detection and response tools to quickly identify and neutralize threats [ISACA, 2024].
Compliance with privacy regulations, such as the General Data Protection Regulation (GDPR) and the General Data Protection Law (LGPD) [Microsoft, 2023], is crucial to ensuring that AI solutions respect the rights of the elderly. These regulations provide clear guidelines on the collection, storage, and sharing of personal data, protecting user privacy [ManageEngine, 2024]. Regulatory oversight of AI underscores the importance for AI development organizations to invest in compliance programs to ensure adherence to data protection laws.
To ensure elderly users accept and trust AI technologies, it is essential to guarantee transparency in data handling practices. Providing clear information about how data is used and protected increases user trust and promotes the adoption of these technologies [Aldboush, H.H.H, 2023]. Creating accessible and understandable privacy policies is recommended to strengthen the trust relationship between AI developers and elderly users.
Privacy and data security are essential aspects of using artificial intelligence as a tool to assist the elderly. Effective protection of personal data requires implementing robust security practices, complying with privacy regulations, and ensuring transparency in the use of information. Studies indicate that addressing these issues is crucial for ensuring the trust of elderly users and maximizing the benefits of AI technologies.
2. Accessibility and Inclusion
Accessibility and inclusion are fundamental aspects of using artificial intelligence (AI) to address the challenges faced by the elderly. Assistive technologies based on AI can promote social inclusion and enhance the quality of life for older adults by ensuring they have access to resources that meet their specific needs. This topic explores strategies and benefits of AI aimed at enhancing accessibility and inclusion for the elderly, based on recent studies.
Accessibility involves creating interfaces and devices that can be used by everyone, regardless of physical or cognitive abilities. According to a recent study [Jnr., B.A., 2024], personalizing AI interfaces is crucial for making them accessible to older adults. This includes adapting voice commands, using larger text, and simplifying user interfaces. The study emphasizes that accessibility should be a core component in the design of assistive technologies to ensure that elderly users can use them independently.
Digital inclusion is an important step towards the social inclusion of the elderly. AI can play a significant role in connecting older adults with society, allowing them to participate in online activities, stay in touch with family and friends, and access digital health services. The study notes that digital training programs for the elderly are essential to empower them to use AI technologies, fostering greater social inclusion [The Aging, 2023].
AI-based assistive technologies offer a range of benefits that promote autonomy and quality of life for the elderly. Another study demonstrated that devices like virtual assistants and companion robots can help older adults perform daily tasks, monitor their health, and provide medication reminders. These devices not only enhance daily functionality but also contribute to reducing loneliness and social isolation [Lemos, M.A., 2022].
Despite the benefits, implementing accessible and inclusive AI technologies faces challenges. Issues such as resistance to technology, lack of digital skills, and economic barriers can hinder the adoption of these technologies by the elderly [Charlene H Chu, 2022]. The study suggests that public policies and digital inclusion initiatives are needed to overcome these obstacles, ensuring that all elderly individuals have access to technological innovations.
Case studies on the application of AI in different contexts highlight the effectiveness of assistive technologies for the elderly. For example, the use of social robots in elderly care centers has shown improvements in social interaction and resident satisfaction. This study recommends integrating these technologies into daily elderly care, emphasizing the importance of a user-centered approach [Tobis S., 2022].
Accessibility and inclusion are crucial for maximizing the benefits of artificial intelligence as a tool to address the challenges faced by the elderly. Accessible and inclusive assistive technologies can significantly improve the quality of life for older adults by promoting their autonomy and social inclusion. However, it is essential to address implementation challenges and promote policies that ensure equitable access to these innovations.
Conclusions
This article highlights the significant potential of artificial intelligence (AI) in addressing the challenges faced by the elderly population. By utilizing assistive technologies such as companion robots and health prediction systems, substantial improvements in the quality of life for older adults can be achieved, ensuring greater autonomy, safety, and well-being.
Wearable devices, health monitoring sensors, and caregiver robots, exemplified by the Pitoco project from UFMG, show how AI can be a crucial ally in managing chronic illnesses and preventing medical complications. Additionally, the analysis of large volumes of medical data by AI algorithms contributes to more accurate diagnoses and more effective medical interventions, as illustrated by the Paige AI system.
However, to fully realize these benefits, it is essential to overcome obstacles related to accessibility and digital inclusion. Many elderly individuals face challenges in using technologies due to a lack of familiarity with digital devices and economic barriers. Therefore, implementing public policies that promote digital inclusion and technological education is crucial to ensuring that all elderly individuals can benefit from the innovations provided by AI.
In summary, the proper integration of AI in the context of an aging population can significantly transform the way we care for the elderly, alleviating pressures on healthcare systems and promoting a more active and healthy aging process. With continued investments in research, development, and inclusive policies, society can harness the full potential of AI to address future demographic challenges and ensure a dignified and secure life for the elderly population.
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