Pith. sign in

REVIEW 1 cited by

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2406.13165 v2 pith:VPF5Y3FJ submitted 2024-06-19 eess.IV cs.AIcs.CVcs.RO

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

classification eess.IV cs.AIcs.CVcs.RO
keywords cardiacmodelprobeworldechocardiographysonographerscapablecopilot
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

Echocardiography is the only technique capable of real-time imaging of the heart and is vital for diagnosing the majority of cardiac diseases. However, there is a severe shortage of experienced cardiac sonographers, due to the heart's complex structure and significant operational challenges. To mitigate this situation, we present a Cardiac Copilot system capable of providing real-time probe movement guidance to assist less experienced sonographers in conducting freehand echocardiography. This system can enable non-experts, especially in primary departments and medically underserved areas, to perform cardiac ultrasound examinations, potentially improving global healthcare delivery. The core innovation lies in proposing a data-driven world model, named Cardiac Dreamer, for representing cardiac spatial structures. This world model can provide structure features of any cardiac planes around the current probe position in the latent space, serving as an precise navigation map for autonomous plane localization. We train our model with real-world ultrasound data and corresponding probe motion from 110 routine clinical scans with 151K sample pairs by three certified sonographers. Evaluations on three standard planes with 37K sample pairs demonstrate that the world model can reduce navigation errors by up to 33\% and exhibit more stable performance.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation

    cs.CV 2026-07 conditional novelty 5.0

    A structured review defines medical world models by four capabilities and six application domains, identifies only 14 qualifying studies, and concludes the field remains retrospective and pre-clinical.