Is AI use associated with Alzheimer's disease risk?

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Last updated: February 18, 2025View editorial policy

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From the Guidelines

No, there is currently no conclusive evidence to suggest that the use of Artificial Intelligence (AI) will cause Alzheimer's disease [ 1 ]. As a precautionary measure, it is essential to maintain a balanced lifestyle, including regular physical activity, a healthy diet, and adequate sleep, to support overall brain health.

Key Factors to Reduce Risk

  • Regular physical activity
  • Healthy diet
  • Adequate sleep Additionally, individuals should prioritize activities that promote cognitive stimulation, such as reading, puzzles, and social engagement, to help reduce the risk of cognitive decline [ 1 ]. If concerns about cognitive health or Alzheimer's disease arise, it is recommended to consult a healthcare professional for personalized advice and guidance [ 1 ].

Importance of Healthcare Professional Guidance

It is crucial to consult a healthcare professional for personalized advice, as they can provide guidance on the best course of action and help individuals understand their risk factors and develop strategies to reduce their risk of cognitive decline.

The provided evidence focuses on the preclinical stages of Alzheimer's disease, biomarkers, and the importance of early diagnosis and intervention [ 1 ]. However, there is no direct link between AI use and Alzheimer's disease risk. Therefore, it is essential to prioritize a healthy lifestyle and consult a healthcare professional for personalized advice on reducing the risk of cognitive decline.

From the Research

Association between AI use and Alzheimer's disease risk

  • There is no direct evidence to suggest that AI use is associated with an increased or decreased risk of Alzheimer's disease 2, 3, 4, 5, 6.
  • However, AI can be used to assist in the early detection and diagnosis of Alzheimer's disease, which may help to reduce the risk of cognitive decline 4, 5.
  • AI can also be used to support clinical practices for the prediction of individual risk of AD conversion and patient stratification, which may help to develop effective and personalized therapies 5.

Use of AI in Alzheimer's disease diagnosis and management

  • AI can be used in conjunction with neuroimaging to improve diagnostic accuracy and efficiency in analyzing radiographic data 4.
  • AI can also be used to assist caregivers of individuals with Alzheimer's disease and related dementias, improving their quality of life and care 6.
  • However, there are challenges and limitations to the use of AI in Alzheimer's disease diagnosis and management, including generalization and data shortage, lack of in vivo gold standard, and concerns over patient information, privacy, and safety 4, 6.

Future directions for research

  • Further research is needed to fully explore the potential of AI in Alzheimer's disease diagnosis and management, including the development of more systematic designs and evaluations of AI-based interventions 6.
  • Interdisciplinary collaboration, incorporating complementary expertise from the health sciences and computer science/engineering-related fields, is necessary to address the gaps in research and develop effective AI-based solutions for Alzheimer's disease diagnosis and management 6.

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

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