Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model
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Abstract (arXiv)
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.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 14 of its 20 references that are in the map. First posted on arXiv 19 Jun 2024.
Builds on
14 of 20 references.
References · 14
- 2017Attention Is All You Needcited by 59,932
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- 2019Dream to Control: Learning Behaviors by Latent Imaginationcited by 1,598
- 2016Generative Adversarial Imitation Learningcited by 1,576
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- 2017One-Shot Imitation Learningcited by 232
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Citing papers per year: 2024: 2; 2025: 5; 2026: 7.
14 papers.
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- 2025EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidancecited by 13
- 2025Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planningcited by 9
- 2025Surgical Vision World Modelcited by 8
- 2024Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-traincited by 6
- 2026Medical world models: representing medical states, modelling clinical dynamics and guiding intervention policiescited by 3
- 2026Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translationcited by 3
- 2024UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidancecited by 2
- 2025VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidancecited by 1
- 2025Automated Interpretable 2D Video Extraction from 3D Echocardiographycited by 1
- 2026UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigationcited by 0
- 2026Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisitioncited by 0
- 2026Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiographycited by 0
- 2026Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology13 Aug 2026
- 2026Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation28 Jul 2026
- 2026Medical world models: representing medical states, modelling clinical dynamics and guiding intervention policies15 Jun 2026
- 20263D MRI Image Pretraining via Controllable 2D Slice Navigation Task7 May 2026
- 2026Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiography28 Mar 2026
- 2026Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisition22 Mar 2026
- 2026UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation2 Mar 2026
- 2025Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning20 Nov 2025
- 2025Automated Interpretable 2D Video Extraction from 3D Echocardiography20 Nov 2025
- 2025VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance8 Oct 2025
- 2025EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance17 Apr 2025
- 2025Surgical Vision World Model3 Mar 2025
- 2025EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidancecited by 13
- 2025Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planningcited by 9
- 2025Surgical Vision World Modelcited by 8
- 2024Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-traincited by 6
- 2026Medical world models: representing medical states, modelling clinical dynamics and guiding intervention policiescited by 3
- 2026Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translationcited by 3
- 2026Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation28 Jul 2026
- 2026Medical world models: representing medical states, modelling clinical dynamics and guiding intervention policies15 Jun 2026
- 2025Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning20 Nov 2025
- 2025EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance17 Apr 2025
- 2025Surgical Vision World Model3 Mar 2025
- 2024Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train28 Jun 2024
- 2024UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidancecited by 2
- 2025VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidancecited by 1
- 2025Automated Interpretable 2D Video Extraction from 3D Echocardiographycited by 1
- 2026UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigationcited by 0
- 2026Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisitioncited by 0
- 2026Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiographycited by 0
- 20263D MRI Image Pretraining via Controllable 2D Slice Navigation Taskcited by 0
- 2026Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiologycited by 0
- 2026Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology13 Aug 2026
- 20263D MRI Image Pretraining via Controllable 2D Slice Navigation Task7 May 2026
- 2026Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiography28 Mar 2026
- 2026Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisition22 Mar 2026
- 2026UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation2 Mar 2026
- 2025Automated Interpretable 2D Video Extraction from 3D Echocardiography20 Nov 2025
- 2025VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance8 Oct 2025
- 2024UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidance27 Aug 2024
Similar, not cited
Close in wording, no citation either way
- 2025EchoAgent: Guideline-Centric Reasoning Agent for Echocardiography Measurement and Interpretation
- 2026Scanning While Imagining: A Scene-Graph World Model for Robotic Ultrasound Navigation
- 2025Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation
- 2026Ultrasound Operator Guidance Using World Modeling and Retrieval Based Action Planning
- 2024Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation
- 2026EchoTracker2: Enhancing Myocardial Point Tracking by Modeling Local Motion
- 2026UltraWorld: Learning Interactive Ultrasound World Models from Untracked Clinical Videos with Acoustic Sampling Map
- 2024HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models