ArticleEuropean heart journal. Digital health2025
Medicine, healthcare and the AI act: gaps, challenges and future implications.
Article in European heart journal. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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
26 citing papers in PubMed.
- Challenges and Recommendations in Regulating AI Medical Devices in the European Union: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- A strategic pathway for the ethical development of AI tools in dementia care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The AI Act and the MDR post-market requirements for semiautonomous AI SaMD: a radiology case study in prostate cancer.Abdominal radiology (New York) · 2026Article
- Artificial intelligence and machine learning in heart and lung transplantation.EClinicalMedicine · 2026Review
- Regulatory science for AI-basedJournal of pathology informatics · 2026Article
- Operationalizing the EU AI Act in a comprehensive cancer center through an institutional governance framework.NPJ digital medicine · 2026Review
- Beyond Algorithmic Oversight: Internal Morality of Medicine and Meaningful Human Control in AI-Assisted Care.Healthcare (Basel, Switzerland) · 2026Article
- Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration.Journal of medical Internet research · 2026Article
- Artificial intelligence adoption in French cardiovascular care: a multiprofessional survey of barriers and facilitators.European heart journal. Digital health · 2026Article
- Explainable Agentic Artificial Intelligence in Healthcare: A Scoping Review.Bioengineering (Basel, Switzerland) · 2026Review
- The Trust-Aware XAI (TAXAI) framework: a quantitative model for interpretable and reliable clinical AI systems.Scientific reports · 2026Article
- Total product lifecycle regulatory considerations and recommendations for generative AI-enabled medical devices.European heart journal. Digital health · 2026Article
- Precision cardiovascular medicine with big data and AI.NPJ digital medicine · 2026Review
- Implementing generative artificial intelligence in precision oncology: safety, governance, and significance.Journal of hematology & oncology · 2026Review
- Towards accurate artificial intelligence models for strain-level phage-host prediction.Briefings in bioinformatics · 2026Article
- The strategic trajectory of artificial intelligence in Qatar's healthcare sector: a model for UN Sustainable Development Goal 9.Frontiers in artificial intelligence · 2026Review
- Advances in Artificial Intelligence for Wrist Joint Injury Diagnosis.International journal of medical sciences · 2026Review
- The fairness paradox in public regulatory summaries of FDA-authorized artificial intelligence-enabled medical devices.Frontiers in medicine · 2026Article
- A roadmap for medical large language models: a review of foundations, applications, and challenges.Military Medical Research · 2026Review
- Multimodal artificial intelligence and machine learning in oncology: from data integration to precision cancer care.Frontiers in digital health · 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
No grant is acknowledged in the PubMed record.
Abstract
The European Union's Artificial Intelligence Act (AI Act), published in July 2024, is a pioneering horizontal regulatory framework aimed at ensuring the ethical and safe integration of AI technologies across sectors, including healthcare. While it offers the potential to improve patient care and drive innovation, it also presents challenges for healthcare providers, such as identifying high-risk applications, ensuring transparency in algorithms, and mitigating data bias. However, there are several challenges in its implementation. These include unclear guidance for certain technologies, the need to ensure fairness for diverse patient populations, effective monitoring of AI performance after deployment, and clarifying responsibility in cases of errors. Additionally, varying levels of resources among EU countries may lead to inconsistent implementation of the regulations. This article explores the core elements of the AI Act and its relevance to cardiology and identifies key gaps and unanswered questions that need to be addressed to effectively advance AI-driven medical practices.
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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.