Artificial Intelligence
3 articles
In management of cerebrovascular diseases, artificial intelligence (AI) emerges and plays a role through advancements in prediction, imaging, diagnosis, and treatment. Revolutionized AI-based tools allow us to catch a glimpse of possibility of rapid clinical workflows in detection, reducing time to the treatment while improving diagnostic accuracy compared to conventional methods. AI has the potential to facilitate primary prevention, improve acute detection, and provide additional decision-making beyond acute care. This review synthesizes applications of AI in major cerebrovascular diseases, introducing an overview of its efficiency and limitations.
- Artificial intelligence
- Cerebrovascular diseases
- Stroke
- Aneurysms
- +4
EditorialArtificial intelligence (AI) is rapidly transforming scientific publishing, yet current disclosure practices provide limited information about the extent of AI involvement. The proposed Clinical AI Score (CAIS) is a standardized framework for quantifying AI assistance across manuscript preparation, analysis, and visualization. CAIS is intended to promote transparency and human accountability rather than restrict AI use. A preliminary threshold of <10 is proposed to represent limited-to-moderate AI involvement, pending future validation. Transparent AI disclosure, combined with digital provenance and human oversight, may provide a practical framework for maintaining scientific integrity in the evolving era of AI-assisted medical publishing.
- Artificial intelligence
- Clinical AI Score
- CAIS
- Scientific publishing
- +2
EditorialThe rapid growth of cardiovascular evidence creates significant challenges in accessing timely, accurate, and clinically relevant information. CardioOracle is a free, AI-powered clinical intelligence platform developed specifically for cardiovascular medicine. It integrates curated guidelines, consensus documents, landmark clinical trials, meta-analyses, and evidence-based reviews to provide evidence-grounded responses for healthcare professionals and patients. The platform also supports clinical documentation and patient education. CardioOracle is designed to reduce information-retrieval burden while supporting, rather than replacing, clinical judgment.
- Artificial intelligence
- Cardiology
- Clinical decision support
- Evidence-based medicine
- +3
