Comorbidities of HIV/AIDS and the Role of Artificial Intelligence in Treatment, Prevention, and Education
Year: 2025
Type: article
Abstract: The HIV/AIDS epidemic continues to affect millions globally, even in the face of remarkable progress in antiretroviral therapy (ART). While ART has significantly improved the life expectancy of people living with HIV (PLWH), the chronic nature of the disease and long-term medication use have led to a growing burden of comorbidities such as cardiovascular disease, cancer, neurocognitive disorders, metabolic complications, and osteoporosis. These comorbidities necessitate more holistic and tailored healthcare strategies. In parallel, artificial intelligence (AI) is revolutionizing the healthcare landscape by offering predictive, personalized, and scalable solutions in disease management. This paper explores the biological and clinical basis of HIV/AIDS-related comorbidities and evaluates the transformative potential of AI in improving treatment adherence, enhancing prevention strategies, and personalizing educational tools. Integrating AI into HIV/AIDS management can significantly enhance outcomes, particularly in resource-limited settings, and offers a glimpse into the future of precision public health.
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4417499047