ReviewEuropean heart journal2025
Artificial intelligence to improve cardiovascular population health.
Review in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence for Cardiovascular Risk Prediction: An Umbrella Review of Applications and Translational Challenges.Vascular health and risk management · 2026Pooled it
- Beyond Traditional Risk Scores: Artificial Intelligence in Coronary Plaque Characterization and Personalized Atherosclerosis Management.Journal of cardiovascular development and disease · 2026Review
- Wearable Devices in Cardiovascular Care: A Narrative Review of the Transition Toward Predictive, Preventive, Personalized, and Participatory Medicine.Healthcare (Basel, Switzerland) · 2026Review
- [Artificial intelligence and cardiovascular biobanks: Shared technological promise and ethical responsibility].Revista medica del Instituto Mexicano del Seguro Social · 2026Article
- Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation.International journal of obesity (2005) · 2026Review
- Shaping the Future of Men's Health: How AI Could Be a Transformative Tool for Better Patient Outcomes and Provider Efficiency.Journal of medical Internet research · 2026Article
- The ethical application of artificial intelligence in digital health: patients' knowledge, pulmonary hypertension, and the problem of misrecognition.European heart journal. Digital health · 2026Article
- Review
- The HALO Model: A Learning Health System Framework for Artificial Intelligence.Learning health systems · 2026Article
- Review
- Artificial intelligence in public health-challenges and opportunities.European journal of clinical nutrition · 2026Review
- Exploring the Use of Artificial Intelligence and Wearable Technologies in the Context of Cardiovascular Prevention From Early Detection to Cardiac Recovery: Protocol for a Scoping Review.JMIR research protocols · 2026Article
- AI-Assisted Self-Powered Wearable Dual-Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cardiovascular disease prevention in China: challenges and opportunities in the artificial intelligence-enabled digital health era.Nature reviews. Cardiology · 2026Review
- Prevention in stroke - Current state, present gaps and probable next steps.Neurological research and practice · 2026Review
- Policy, Financing, and Regulatory Barriers to Adopting AI-Powered Electrocardiography Interpretation Clinical Decision Support System in Ethiopia: A Qualitative Study.International journal of environmental research and public health · 2026Article
- Artificial Intelligence Powered Wearable and Portable Devices for Remote Cardiac Care and Population Health.Current cardiology reports · 2026Review
- Approval of AI-Based Medical Devices in China From 2020 to 2025: Retrospective Analysis.JMIR medical informatics · 2026Article
- From Exposure to Atherosclerosis: Mechanistic Insights into Phthalate-Driven Ischemic Heart Disease and Prevention Strategies.Life (Basel, Switzerland) · 2026Review
- Large Language Models in Cardiovascular Prevention: A Narrative Review and Governance Framework.Diagnostics (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthcare delivery and improve population health. This review provides a state-of-the-art overview of recent advancements in AI technologies and their applications in enhancing cardiovascular health at the population level. From predictive analytics to personalized interventions, AI-driven approaches are increasingly being utilized to analyse vast amounts of healthcare data, uncover disease patterns, and optimize resource allocation. Furthermore, AI-enabled technologies such as wearable devices and remote monitoring systems facilitate continuous cardiac monitoring, early detection of diseases, and promise more timely interventions. Additionally, AI-powered systems aid healthcare professionals in clinical decision-making processes, thereby improving accuracy and treatment effectiveness. By using AI systems to augment existing data sources, such as registries and biobanks, completely new research questions can be addressed to identify novel mechanisms and pharmaceutical targets. Despite this remarkable potential of AI in enhancing population health, challenges related to legal issues, data privacy, algorithm bias, and ethical considerations must be addressed to ensure equitable access and improved outcomes for all individuals.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.