• Inheart AI

  • InHeart AI generates AI-driven, patient-specific 3D “digital twin” heart models from CT/MR imaging. It supports pre-procedural planning for cardiac interventions, especially in electrophysiology.

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About Tool

InHeart AI (inHEART) is a medical imaging platform focused on creating highly detailed cardiac models from imaging data (CT, MRI). Its core aim is to assist cardiologists and electrophysiologists in visualizing unique anatomical and tissue characteristics before interventions. The system supports treatment planning by integrating with mapping systems and enabling clinicians to explore anatomical structure, tissue properties, and substrate details in 3D. This helps reduce procedural time, increase precision, and potentially lower recurrence rates in cardiac ablation therapies.

Key Features

  • Automated segmentation and 3D model generation of cardiac anatomy from CT/MR scans
  • Cloud-based interactive exploration of myocardial tissue, wall thickness, collateral structures
  • Integration with major electro-anatomic mapping (EAM) systems used in clinical labs
  • Pre-procedural planning tools to optimize ablation strategies
  • Reduction in procedural time and recurrence via image-guided interventions

Pros:

  • Provides patient-specific anatomical insights that are not visible in standard 2D imaging
  • Enables clinicians to plan treatments more precisely, potentially reducing procedure time
  • Integrates into existing EAM workflows for live usage during procedures
  • Supports more effective targeting of arrhythmogenic tissue substrates

Cons:

  • Requires high-quality CT/MRI input; imaging artifacts or suboptimal scans may limit model accuracy
  • Turnaround time (though automated) may not be instantaneous—planning workflows need adjustment
  • Pricing and licensing terms are not publicly disclosed; likely geared toward clinical or institutional users

Who is Using?

InHeart AI is used by electrophysiologists, cardiac intervention teams, imaging specialists, and academic medical centers that perform ventricular tachycardia (VT) or arrhythmia ablation procedures. It’s particularly relevant for centers seeking image-guided precision in complex cases.

Pricing

Pricing is not publicly published. Adoption likely involves institutional or hospital contracts, clinical licensing, and service agreements specific to procedural volume and integrations.

What Makes Unique?

InHeart AI’s uniqueness stems from its “digital twin” concept of the heart—rendering detailed, patient-specific 3D substrates that include tissue heterogeneity and structural features. It bridges imaging, electrophysiology mapping, and surgical planning in a unified workflow.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆
  • Features: ⭐⭐⭐⭐⭐
  • Value for Money: ⭐⭐⭐☆

InHeart AI delivers a compelling tool for image-guided cardiac intervention planning. By converting imaging data into actionable 3D models, it empowers clinicians with deeper anatomical insights and more confident planning. While geared toward clinical settings and requiring institutional adoption, it holds strong promise in improving precision and outcomes in electrophysiology procedures.

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Inheart AI

About Tool

InHeart AI (inHEART) is a medical imaging platform focused on creating highly detailed cardiac models from imaging data (CT, MRI). Its core aim is to assist cardiologists and electrophysiologists in visualizing unique anatomical and tissue characteristics before interventions. The system supports treatment planning by integrating with mapping systems and enabling clinicians to explore anatomical structure, tissue properties, and substrate details in 3D. This helps reduce procedural time, increase precision, and potentially lower recurrence rates in cardiac ablation therapies.

Key Features

  • Automated segmentation and 3D model generation of cardiac anatomy from CT/MR scans
  • Cloud-based interactive exploration of myocardial tissue, wall thickness, collateral structures
  • Integration with major electro-anatomic mapping (EAM) systems used in clinical labs
  • Pre-procedural planning tools to optimize ablation strategies
  • Reduction in procedural time and recurrence via image-guided interventions

Pros:

  • Provides patient-specific anatomical insights that are not visible in standard 2D imaging
  • Enables clinicians to plan treatments more precisely, potentially reducing procedure time
  • Integrates into existing EAM workflows for live usage during procedures
  • Supports more effective targeting of arrhythmogenic tissue substrates

Cons:

  • Requires high-quality CT/MRI input; imaging artifacts or suboptimal scans may limit model accuracy
  • Turnaround time (though automated) may not be instantaneous—planning workflows need adjustment
  • Pricing and licensing terms are not publicly disclosed; likely geared toward clinical or institutional users

Who is Using?

InHeart AI is used by electrophysiologists, cardiac intervention teams, imaging specialists, and academic medical centers that perform ventricular tachycardia (VT) or arrhythmia ablation procedures. It’s particularly relevant for centers seeking image-guided precision in complex cases.

Pricing

Pricing is not publicly published. Adoption likely involves institutional or hospital contracts, clinical licensing, and service agreements specific to procedural volume and integrations.

What Makes Unique?

InHeart AI’s uniqueness stems from its “digital twin” concept of the heart—rendering detailed, patient-specific 3D substrates that include tissue heterogeneity and structural features. It bridges imaging, electrophysiology mapping, and surgical planning in a unified workflow.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆
  • Features: ⭐⭐⭐⭐⭐
  • Value for Money: ⭐⭐⭐☆

InHeart AI delivers a compelling tool for image-guided cardiac intervention planning. By converting imaging data into actionable 3D models, it empowers clinicians with deeper anatomical insights and more confident planning. While geared toward clinical settings and requiring institutional adoption, it holds strong promise in improving precision and outcomes in electrophysiology procedures.

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Inheart AI

About Tool

InHeart AI (inHEART) is a medical imaging platform focused on creating highly detailed cardiac models from imaging data (CT, MRI). Its core aim is to assist cardiologists and electrophysiologists in visualizing unique anatomical and tissue characteristics before interventions. The system supports treatment planning by integrating with mapping systems and enabling clinicians to explore anatomical structure, tissue properties, and substrate details in 3D. This helps reduce procedural time, increase precision, and potentially lower recurrence rates in cardiac ablation therapies.

Key Features

  • Automated segmentation and 3D model generation of cardiac anatomy from CT/MR scans
  • Cloud-based interactive exploration of myocardial tissue, wall thickness, collateral structures
  • Integration with major electro-anatomic mapping (EAM) systems used in clinical labs
  • Pre-procedural planning tools to optimize ablation strategies
  • Reduction in procedural time and recurrence via image-guided interventions

Pros:

  • Provides patient-specific anatomical insights that are not visible in standard 2D imaging
  • Enables clinicians to plan treatments more precisely, potentially reducing procedure time
  • Integrates into existing EAM workflows for live usage during procedures
  • Supports more effective targeting of arrhythmogenic tissue substrates

Cons:

  • Requires high-quality CT/MRI input; imaging artifacts or suboptimal scans may limit model accuracy
  • Turnaround time (though automated) may not be instantaneous—planning workflows need adjustment
  • Pricing and licensing terms are not publicly disclosed; likely geared toward clinical or institutional users

Who is Using?

InHeart AI is used by electrophysiologists, cardiac intervention teams, imaging specialists, and academic medical centers that perform ventricular tachycardia (VT) or arrhythmia ablation procedures. It’s particularly relevant for centers seeking image-guided precision in complex cases.

Pricing

Pricing is not publicly published. Adoption likely involves institutional or hospital contracts, clinical licensing, and service agreements specific to procedural volume and integrations.

What Makes Unique?

InHeart AI’s uniqueness stems from its “digital twin” concept of the heart—rendering detailed, patient-specific 3D substrates that include tissue heterogeneity and structural features. It bridges imaging, electrophysiology mapping, and surgical planning in a unified workflow.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆
  • Features: ⭐⭐⭐⭐⭐
  • Value for Money: ⭐⭐⭐☆

InHeart AI delivers a compelling tool for image-guided cardiac intervention planning. By converting imaging data into actionable 3D models, it empowers clinicians with deeper anatomical insights and more confident planning. While geared toward clinical settings and requiring institutional adoption, it holds strong promise in improving precision and outcomes in electrophysiology procedures.

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