Key result
AI-guided portable ultrasound plus natriuretic peptide testing facilitates earlier heart failure diagnosis in primary care.
Why the study?
Heart failure is often diagnosed and treated late with delays and missed investigations leading to poor outcomes, and primary care teams are rarely integrated into early detection strategies despite their potential role.
Does proactive screening with AI-mediated portable cardiac ultrasound and NT-proBNP testing improve the early detection and management of heart failure in high-risk primary care patients?
Does proactive screening with AI-mediated portable cardiac ultrasound and NT-proBNP testing improve the early detection and management of heart failure in high-risk primary care patients?
Equipping primary care teams with AI-guided portable ultrasound and structured NT-proBNP screening algorithms may resolve historical delays in heart failure diagnosis, promoting life-saving therapy initiation before disease progression.
May support earlier HF detection in primary care; hypothesis-generating and requires prospective validation before practice change.
Typically, heart failure (HF) is definitively diagnosed and treated with guideline-directed medical therapy late in its natural history, with reported delays, missed investigation and inpatient diagnoses associated with poor outcomes. Accordingly, better, more decisive primary care can and should play a critical role in addressing this seemingly intractable problem. However, as reflected by a paucity of evidence to inform the recommendations of expert HF guidelines, primary care teams are rarely considered as part of the solution. In this review, we explore all the potential outcomes from more proactive screening for HF in primary care when introducing artificial intelligence-mediated portable cardiac ultrasound. Based on the strengths and weaknesses of the screening components that can now be applied, we consider the spectrum of early to late forms of HF likely to be revealed and more immediately diagnosed. Within this context, we present, as an example of what can be achieved in this space, a clinical algorithm that was developed for a prospective, multicentre project to find and manage HF earlier in the primary care setting.
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Smith et al. (2026) conducted a review in High risk for heart failure. Artificial intelligence-mediated portable cardiac ultrasound (AI-PoCUS) and natriuretic peptide screening vs. Standard diagnostic pathways/usual care was evaluated. Proactive screening using AI-guided portable ultrasound combined with natriuretic peptide testing proposes to facilitate the earlier diagnosis and management of heart failure in primary care settings.
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