Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER) in the UK: a cluster-randomised controlled implementation trial
Mihir A Kelshiker; Patrik Bächtiger; Camille F Petri; Saloni Nakhare; Josephine Mansell; Karanjot Chhatwal; Abdullah Alrumayh; Jahed Zaman · 2026 · The Lancet
WASTE classifies this as Replication Failure · AI classification, approximate
A previously reported effect did not replicate here — verify it holds before you build on it.
Abstract
BACKGROUND: Early detection of cardiovascular disease is a global public health priority. Artificial intelligence (AI)-enabled stethoscopes offer robust performance characteristics in point-of-care detection of heart failure, atrial fibrillation, and valvular heart disease (VHD). We conducted a pragmatic, cluster-randomised controlled implementation trial to determine the real-world effect and implementation challenges of AI-stethoscopes. METHODS: UK primary care practices were cluster randomised 1:1 to intervention (training and implementation in use of AI-stethoscopes in routine care) or con
Abstract by Mihir A Kelshiker; Patrik Bächtiger; Camille F Petri; Saloni Nakhare; Josephine Mansell; Karanjot Chhatwal; Abdullah Alrumayh; Jahed Zaman, The Lancet (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/s0140-6736(25)02156-7
