ReviewJournal of clinical hypertension (Greenwich, Conn.)2021
Applications of artificial intelligence for hypertension management.
Review in Journal of clinical hypertension (Greenwich, Conn.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for HIV care: a global systematic review of current studies and emerging trends.Journal of the International AIDS Society · 2025Pooled it
- Predicting short-term blood pressure trajectories using lifestyle and behavioural factors: a prospective cohort study.Global cardiology science & practice · 2026Article
- Artificial intelligence in geriatric healthcare: a scoping review.BMC geriatrics · 2026Article
- Article
- Effects of Different Types of Stretching on Hypertension: A Systematic Review with Exploratory Meta-Analysis.Journal of functional morphology and kinesiology · 2026Review
- Fight for the People's Health: The Application of Al Multiagent Systems in Medical Consortia.Health care science · 2026Review
- Association of Mobile-Enhanced Remote Patient Monitoring with Blood Pressure Control in Hypertensive Patients with Comorbidities: A Multicenter Pre-Post Evaluation.Diagnostics (Basel, Switzerland) · 2026Article
- A comprehensive narrative review on precision medicine approach to hypertension: exploring the role of genetics, epigenetics, microbiome, and artificial intelligence.Journal of health, population, and nutrition · 2025Review
- A Heart-to-Heart With ChatGPT: AI Applications in Hypertension.American journal of hypertension · 2025Review
- Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.Hypertension (Dallas, Tex. : 1979) · 2025Review
- Accuracy of Artificial Intelligence Based Chatbots in Analyzing Orthopedic Pathologies: An Experimental Multi-Observer Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach.PloS one · 2025Article
- Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.Current medical science · 2024Review
- Review
- Article
- Predicting new cases of hypertension in Swedish primary care with a machine learning tool.Preventive medicine reports · 2024Article
- Updates in the management of hypertension.Annals of medicine and surgery (2012) · 2024Review
- Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review.Cureus · 2024Review
- Assessing the long-term outcomes of telemedicine consultations in managing hypertension: A prospective study.Bioinformation · 2024Article
- Effect of exercise based on ACSM recommendations on blood pressure and heart rate in hypertensive patients: A systematic review and meta-analysis of randomized controlled trials.PLOS global public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of hypertension is increasing along with an aging population, causing millions of premature deaths annually worldwide. Low awareness of blood pressure (BP) elevation and suboptimal hypertension diagnosis serve as the major hurdles in effective hypertension management. The advent of artificial intelligence (AI), however, sheds the light of new strategies for hypertension management, such as remote supports from telemedicine and big data-derived prediction. There is considerable evidence demonstrating the feasibility of AI applications in hypertension management. A foreseeable trend was observed in integrating BP measurements with various wearable sensors and smartphones, so as to permit continuous and convenient monitoring. In the meantime, further investigations are advised to validate the novel prediction and prognostic tools. These revolutionary developments have made a stride toward the future model for digital management of chronic diseases.
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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.