ReviewNPJ cardiovascular health2025
AI assisted focused cardiac ultrasound in preventive cardiology - a perspective.
Review in NPJ cardiovascular health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- The diagnostic accuracy of left ventricular ejection fraction assessment between visual and artificial intelligence-based algorithms on bedside ultrasound.Cardiovascular ultrasound · 2026Article
- Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.European heart journal. Digital health · 2026Article
- Severe aortic stenosis detection using seismocardiography.Open heart · 2026Article
- Hybrid GAN-LSTM framework for diabetic foot ulcer image synthesis and automated diagnosis.Frontiers in medicine · 2026Article
- Multimodal Cardiovascular Risk Discrimination: Clinical, Biochemical, and Doppler Ultrasound Insights from a Contemporary Atherosclerotic Cardiovascular Disease Cohort.Anatolian journal of cardiology · 2025Article
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
Integrating focused cardiac ultrasound (FoCUS) and AI transforms cardiovascular health care. We advocate for the application of these technologies for the early detection and management of various cardiac conditions, expanding beyond traditional atherosclerotic cardiovascular disease detection. In this perspective, we propose a framework that utilizes AI-assisted FoCUS to assess biological age as a risk factor and identify valvular heart disease, occult atrial fibrillation, heart failure, and pulmonary hypertension.
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.