ReviewThe Lancet regional health. Western Pacific2024
Incorporating AI into cardiovascular diseases prevention-insights from Singapore.
Review in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Can development alone save lives? trends and forecasts of congenital heart anomalies-attributable premature mortality in ASEAN.Frontiers in cardiovascular medicine · 2026Article
- Cardiovascular Prevention: Current Gaps and Future Directions.Diagnostics (Basel, Switzerland) · 2025Review
- Large language models to develop evidence-based strategies for primary and secondary cardiovascular prevention.European heart journal. Digital health · 2025Article
- A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction.NPJ digital medicine · 2025Article
- Artificial intelligence to improve cardiovascular population health.European heart journal · 2025Review
- Hearts, Data, and Artificial Intelligence Wizardry: From Imitation to Innovation in Cardiovascular Care.Biomedicines · 2025Review
- Environmental Factors and Cardiovascular Susceptibility: Toward Personalized Prevention Mediated by the Role of Artificial Intelligence-A Narrative Review.Health science reports · 2025Article
- ChatGPT in cardiovascular medicine: revolution, hype, or helper?Frontiers in public health · 2025Review
- Artificial Intelligence and Health Inequities in Dietary Interventions on Atherosclerosis: A Narrative Review.Nutrients · 2024Review
- Unveiling the black box: imperative for explainable AI in cardiovascular disease prevention.The Lancet regional health. Western Pacific · 2024Article
- Unveiling the black box: imperative for explainable AI in cardiovascular disease (CVD) prevention-author reply.The Lancet regional health. Western Pacific · 2024Article
- Opportunities and Challenges for Large Language Models in Primary Health Care.Journal of primary care & community healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improved upstream primary prevention of cardiovascular disease (CVD) would enable more individuals to lead lives free of CVD. However, there remain limitations in the current provision of CVD primary prevention, where artificial intelligence (AI) may help to fill the gaps. Using the data informatics capabilities at the National University Health System (NUHS), Singapore, empowered by the Endeavour AI system, and combined large language model (LLM) tools, our team has created a real-time dashboard able to capture and showcase information on cardiovascular risk factors at both individual and geographical level- CardioSight. Further insights such as medication records and data on area-level socioeconomic determinants allow a whole-of-systems approach to promote healthcare delivery, while also allowing for outcomes to be tracked effectively. These are paired with interventions, such as the CHronic diseAse Management Program (CHAMP), to coordinate preventive cardiology care at a pilot stage within our university health system. AI tools in synergy allow the identification of at-risk patients and actionable steps to mitigate their health risks, thereby closing the gap between risk identification and effective patient care management in a novel CVD prevention workflow.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.