According to the Centers for Disease Control and Prevention, as of 2020, approximately 5.8 million people in the U.S. were living with Alzheimer’s disease, a progressive brain disorder affecting memory, thinking, and behavior. The prevalence of this disease is expected to continue to rise as the population ages. The number of people living with the disease is projected to grow threefold to 14 million by 2060. While there is currently no cure for Alzheimer’s, new technologies offer hope for improving diagnosis and treatment.

Advancements in Alzheimer’s technology

The rapid advancements in technology have led to the development of new tools and devices geared towards improving the quality of life for those with Alzheimer’s disease. Technology provides opportunities for individuals to live more independently with a greater sense of security and dignity.

Wearable devices, such as watches or bracelets, are being orchestrated to monitor the movements of individuals with Alzheimer’s disease. They can detect changes in behavior, alert caregivers if the individual wanders off, and even provide emergency services if needed. This technology can provide peace of mind for families and caregivers while giving individuals with Alzheimer’s disease a pronounced sense of independence.

Smart home systems are another innovative technology being developed for those with Alzheimer’s disease. These systems can be programmed to monitor an individual’s behavior, turn off appliances that are left on for too long, and provide reminders to consume medication or attend appointments. They can also alert caregivers if the individual appears to be in distress.

Specialized apps are also being developed to help individuals with memory loss by providing prompts and reminders for everyday tasks. They can also provide cognitive stimulation, such as puzzles or games, to help improve memory and cognitive function.

Most recently, machine learning and AI software have been developed to help predict the risk of developing Alzheimer’s disease and detect early signs of the disease. AI is computer science focused on creating machines that can perform tasks that typically require human intelligence. Machine learning is a subset of AI that focuses on algorithms that learn from data and make predictions or decisions without being explicitly programmed. This technology has been envisioned to help improve early diagnosis and treatment backed by software, leading to favorable outcomes for those with the disease.

Compared to other technological developments for Alzheimer’s disease, AI and machine learning offer unique advantages. They can analyze large datasets, detect patterns that may be difficult or too inappreciable for human experts to pinpoint, and continuously tweak their accuracy and effectiveness by adapting to new data. Their use in Alzheimer’s disease care also has the potential to abate the burden on caregivers and health care systems by enabling remote monitoring and support.

Criticisms and challenges of artificial intelligence

While technology and AI in Alzheimer’s disease care offers numerous benefits, there are also valid concerns about their use. One major concern is related to privacy. As technology and AI are used to monitor and collect data on individuals with Alzheimer’s disease, there is a risk of sensitive personal information being accessed or shared without consent.

Ethical considerations are another major concern. For example, there is a minuscule risk of AI algorithms perpetuating or exacerbating existing biases in care delivery, paving the way to unequal treatment or outcomes for individuals with Alzheimer’s disease. There may also be concerns about the use of AI in decision-making processes that traditionally require human judgment.

To address these concerns, it is important to craft regulations and guidelines that protect individual privacy and ensure the ethical use of technology and AI in Alzheimer’s disease care. This may include fashioning transparent algorithms subject to independent review and providing clear information and consent processes for individuals monitored or treated with AI-enabled devices or systems.

Concurrently, it is essential to involve all stakeholders in these contrivances’ development and implementation processes. This includes individuals with Alzheimer’s disease and their caregivers, health care providers, technology developers, policymakers, and ethicists. By working together and fostering a collaborative approach, we can ensure that technologies are used humanely and in a way that prioritizes the well-being and dignity of individuals with Alzheimer’s disease.

Harnessing the potential of technology in Alzheimer’s disease care

The potential of technology and AI in improving the lives of those with Alzheimer’s disease is immense. It’s important to address privacy and ethics concerns and involve all stakeholders in the development and implementation processes. Ongoing research and development in this field are sacrosanct when fully harnessing the power of technology to fight Alzheimer’s disease and revamp the lives of millions of individuals and families affected by it. By taking a collaborative and responsible approach, we can make significant strides toward a glistening future for those with Alzheimer’s disease.

Naheed Ali is a physician and medical journalist.