Comparative Performance of AI Models and Clinicians in Evidence-Based Cardiovascular Disease Management for People Living With HIV: Comparative Study
Background: Although widespread antiretroviral therapy has extended the life expectancy of people living with HIV, cardiovascular disease (CVD) has emerged as a primary comorbidity. Persistent cross-specialty knowledge gaps in routine clinical practice lead to suboptimal adherence to guidelines. Integrated, evidence-based tools are urgently needed to overcome these interdisciplinary barriers. While large language models (LLMs) have demonstrated significant capabilities in medicine, no systematic
Record details
Published: 10 August 2026
Source: JMIR (Journal of Medical Internet Research)
Category: Research
Topics: Healthcare
Retrieved: 11 August 2026
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How to cite this record
ethics.ai (10 August 2026), “Comparative Performance of AI Models and Clinicians in Evidence-Based Cardiovascular Disease Management for People Living With HIV: Comparative Study,” evidence record 18086, https://ethics.ai/record/18086 (originally published by JMIR (Journal of Medical Internet Research)).
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