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Enables detailed inspection of cardiac chambers, valves, and conduction pathways.","intents":["I want to examine my patient's heart from different angles before the procedure","I need to identify anatomical variations and abnormalities in 3D space","I want to understand the spatial relationships between cardiac structures"],"best_for":["interventional cardiologists","cardiac surgeons","cardiac imaging teams","surgical planning teams"],"limitations":["Requires adequate display hardware and computing resources","Learning curve for new users unfamiliar with 3D visualization tools","Model quality depends on input imaging quality"],"requires":["Generated 3D cardiac model","Workstation with adequate graphics capabilities","User training on visualization interface"],"input_types":["3D cardiac models","Segmented anatomical data"],"output_types":["Interactive 3D visualizations","Multi-angle views","Measurement data"],"categories":["healthcare","visualization","medical-imaging"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_10","uri":"capability://healthcare.anatomical.measurement.and.analysis","name":"anatomical-measurement-and-analysis","description":"Provides precise measurements of cardiac structures, chamber volumes, wall thickness, and other anatomical parameters directly from 3D models. Enables quantitative assessment of cardiac anatomy to support clinical decision-making and procedural planning.","intents":["I need to measure the size of this cardiac defect for surgical planning","I want to quantify chamber volumes and wall thickness","I need precise anatomical measurements to select the right device size"],"best_for":["cardiac surgeons","interventional cardiologists","cardiac imaging specialists","device selection specialists"],"limitations":["Measurement accuracy depends on model segmentation quality","Manual verification of automated measurements recommended","Cardiac motion and phase of cardiac cycle affect measurements"],"requires":["High-quality 3D cardiac model","Segmented anatomical structures","Measurement tools and calibration"],"input_types":["3D cardiac models","Segmented anatomical data"],"output_types":["Anatomical measurements","Chamber volume calculations","Wall thickness data","Measurement reports"],"categories":["healthcare","medical-imaging","quantitative-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_11","uri":"capability://healthcare.device.sizing.and.selection.support","name":"device-sizing-and-selection-support","description":"Uses patient-specific 3D cardiac anatomy to recommend appropriate device sizes and types for structural heart interventions. Analyzes anatomical dimensions and spatial relationships to guide device selection and predict fit.","intents":["I need to select the right size device for this patient's anatomy","I want to know if a particular device will fit properly in this patient","I need recommendations on device type and size based on anatomy"],"best_for":["interventional cardiologists","cardiac surgeons","device specialists","structural heart teams"],"limitations":["Recommendations based on anatomical fit; clinical judgment still required","Device availability and cost may limit options","Actual device deployment may differ from predictions"],"requires":["Patient-specific 3D cardiac model","Anatomical measurements","Device specifications database","Clinical expertise in device selection"],"input_types":["3D cardiac models","Anatomical measurements","Device specifications"],"output_types":["Device size recommendations","Device type suggestions","Fit predictions","Alternative device options"],"categories":["healthcare","device-selection","surgical-planning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_12","uri":"capability://healthcare.procedural.documentation.and.reporting","name":"procedural-documentation-and-reporting","description":"Generates comprehensive procedural documentation including 3D model images, measurements, procedural plans, and outcome predictions. Creates standardized reports for medical records, surgical planning, and inter-provider communication.","intents":["I need to document the surgical plan for the medical record","I want to create a report to send to the referring physician","I need to archive the 3D model and planning information for future reference"],"best_for":["cardiac surgeons","interventional cardiologists","medical records departments","surgical coordinators"],"limitations":["Report generation may require manual review and editing","Standardization across different procedure types may be limited","Integration with EHR systems varies by institution"],"requires":["3D cardiac models","Procedural plans and measurements","Report templates","EHR integration (optional)"],"input_types":["3D models","Procedural plans","Measurements","Outcome predictions"],"output_types":["PDF reports","DICOM files","EHR-compatible documentation","Printable surgical plans","Image archives"],"categories":["healthcare","documentation","medical-records"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_2","uri":"capability://healthcare.procedural.planning.simulation","name":"procedural-planning-simulation","description":"Enables clinicians to simulate and plan complex cardiac interventions on patient-specific 3D models before entering the operating room. Allows visualization of catheter pathways, device placement, and anatomical access routes for specific procedures.","intents":["I want to plan my approach for a complex structural heart procedure before surgery","I need to identify the optimal catheter pathway through the patient's anatomy","I want to simulate device placement to ensure proper positioning"],"best_for":["interventional cardiologists","cardiac surgeons","complex structural heart procedure specialists","arrhythmia ablation specialists"],"limitations":["Simulation accuracy depends on model fidelity and imaging quality","Cannot account for real-time tissue movement and hemodynamic changes","Requires specialized training to interpret simulation results"],"requires":["Patient-specific 3D cardiac model","Procedure-specific planning software","Clinician expertise in cardiac anatomy and intervention"],"input_types":["3D cardiac models","Procedure parameters","Device specifications"],"output_types":["Simulated catheter pathways","Device placement visualizations","Procedural recommendations","Risk assessments"],"categories":["healthcare","surgical-planning","simulation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_3","uri":"capability://healthcare.congenital.heart.disease.analysis","name":"congenital-heart-disease-analysis","description":"Specializes in analyzing and visualizing complex congenital heart defects through 3D modeling, enabling detailed assessment of abnormal cardiac anatomy, septal defects, and complex chamber relationships. Supports surgical planning for congenital heart repair procedures.","intents":["I need to understand the complex anatomy of this congenital heart defect","I want to plan the surgical approach for a complex congenital repair","I need to communicate the anatomical abnormality clearly to the surgical team"],"best_for":["pediatric cardiac surgeons","congenital heart disease specialists","interventional cardiologists treating congenital cases","cardiac imaging specialists"],"limitations":["Requires high-quality imaging of complex, often small anatomical structures","Model accuracy critical for surgical planning in pediatric cases","May require multiple imaging modalities for complete assessment"],"requires":["High-resolution cardiac imaging (CT/MRI)","Expertise in congenital heart anatomy","Specialized 3D modeling for complex defects"],"input_types":["Pediatric cardiac imaging","Multi-modality imaging data","DICOM files"],"output_types":["3D congenital defect models","Anatomical analysis reports","Surgical planning visualizations"],"categories":["healthcare","pediatric-cardiology","surgical-planning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_4","uri":"capability://healthcare.arrhythmia.ablation.mapping","name":"arrhythmia-ablation-mapping","description":"Creates detailed 3D anatomical maps of cardiac chambers and conduction pathways to support arrhythmia ablation procedures. Enables visualization of ablation targets, scar tissue, and electrical pathways to improve procedural accuracy and reduce complications.","intents":["I need to map the electrical pathways in my patient's heart for ablation","I want to identify the optimal ablation targets before the procedure","I need to visualize scar tissue and conduction abnormalities in 3D"],"best_for":["electrophysiologists","interventional cardiologists specializing in arrhythmia","cardiac surgeons performing ablation procedures","arrhythmia specialists"],"limitations":["Requires integration with electrophysiology mapping systems","Electrical activity data must be accurately registered to anatomical model","Real-time electrical changes during procedure cannot be fully predicted"],"requires":["3D cardiac anatomical model","Electrophysiology mapping data","Integration with EP lab systems"],"input_types":["3D cardiac models","Electrophysiology mapping data","Scar tissue imaging"],"output_types":["3D electrical pathway maps","Ablation target visualizations","Scar tissue overlays","Procedural guidance data"],"categories":["healthcare","electrophysiology","surgical-planning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_5","uri":"capability://healthcare.fluoroscopy.reduction.guidance","name":"fluoroscopy-reduction-guidance","description":"Provides real-time procedural guidance based on pre-planned 3D models to reduce reliance on fluoroscopy during cardiac interventions. Enables clinicians to navigate complex anatomy with reduced radiation exposure to patient and staff.","intents":["I want to reduce radiation exposure during this complex cardiac procedure","I need real-time guidance to navigate through the patient's anatomy without excessive fluoroscopy","I want to minimize fluoroscopy time while maintaining procedural safety"],"best_for":["interventional cardiologists","cardiac surgeons","radiation-conscious cardiac teams","pediatric cardiac specialists"],"limitations":["Requires accurate registration between pre-procedure model and real-time anatomy","Patient movement and cardiac motion can affect guidance accuracy","Still requires some fluoroscopy for real-time confirmation"],"requires":["Pre-planned 3D cardiac model","Integration with catheterization lab imaging systems","Real-time tracking technology","Specialized training for guidance interpretation"],"input_types":["3D procedural plans","Real-time fluoroscopy feeds","Catheter position data"],"output_types":["Real-time guidance overlays","Navigation recommendations","Fluoroscopy reduction metrics"],"categories":["healthcare","radiation-safety","interventional-cardiology"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_6","uri":"capability://healthcare.procedure.outcome.prediction","name":"procedure-outcome-prediction","description":"Analyzes patient-specific cardiac anatomy and planned interventions to predict procedural outcomes, including success rates, complication risks, and expected procedural duration. Provides evidence-based recommendations based on anatomical complexity.","intents":["I want to predict the success rate of this procedure for my patient","I need to estimate how long this complex procedure will take","I want to understand the complication risks based on this patient's anatomy"],"best_for":["interventional cardiologists","cardiac surgeons","surgical planning teams","risk assessment specialists"],"limitations":["Predictions based on statistical models and may not account for individual variations","Requires adequate training data for specific procedure types","Cannot predict unexpected intraoperative complications"],"requires":["Patient-specific 3D cardiac model","Planned procedure parameters","Access to outcome prediction algorithms","Historical procedural outcome data"],"input_types":["3D cardiac models","Procedure specifications","Patient demographic data"],"output_types":["Success rate predictions","Complication risk assessments","Estimated procedure duration","Outcome recommendations"],"categories":["healthcare","predictive-analytics","surgical-planning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_7","uri":"capability://healthcare.catheterization.lab.workflow.integration","name":"catheterization-lab-workflow-integration","description":"Integrates seamlessly with existing catheterization lab equipment and imaging workflows, enabling clinicians to access 3D models and procedural plans directly from the lab environment without disrupting established protocols or requiring new infrastructure.","intents":["I want to use the 3D model during the procedure without changing our lab workflow","I need the 3D planning information accessible at the catheterization lab console","I want to integrate this tool with our existing imaging and recording systems"],"best_for":["cardiac catheterization labs","interventional cardiology departments","hospital IT teams managing cardiac infrastructure","cardiac center administrators"],"limitations":["Integration complexity depends on existing lab equipment and software versions","May require custom integration work for non-standard lab setups","Requires IT support and ongoing maintenance"],"requires":["Compatible catheterization lab equipment","DICOM connectivity","Hospital network infrastructure","IT support for integration and maintenance"],"input_types":["Lab equipment specifications","Existing workflow documentation","DICOM imaging streams"],"output_types":["Integrated lab console displays","Real-time model access","Procedural data logging"],"categories":["healthcare","medical-devices","workflow-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_8","uri":"capability://healthcare.surgical.team.communication.visualization","name":"surgical-team-communication-visualization","description":"Generates clear, detailed 3D visualizations of patient-specific cardiac anatomy to facilitate communication and alignment among surgical team members. Enables surgeons, anesthesiologists, perfusionists, and other team members to understand the anatomical plan before and during procedures.","intents":["I want to show the surgical team exactly what we'll encounter during the procedure","I need to ensure everyone on the team understands the anatomical abnormality","I want to communicate the surgical plan clearly to all team members"],"best_for":["surgical teams","cardiac surgeons","anesthesiologists","perfusionists","surgical nurses","surgical coordinators"],"limitations":["Requires adequate display equipment in surgical planning areas","Team members need training to interpret 3D models","Time constraints may limit detailed review before procedures"],"requires":["3D cardiac models","Display equipment (monitors, projectors)","Team training on model interpretation","Dedicated time for pre-procedure briefing"],"input_types":["3D cardiac models","Procedural plans"],"output_types":["High-quality 3D visualizations","Multi-angle views","Annotated anatomical diagrams","Printed or digital reference materials"],"categories":["healthcare","communication","surgical-planning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_inheart__cap_9","uri":"capability://healthcare.imaging.quality.assessment","name":"imaging-quality-assessment","description":"Evaluates the quality of input cardiac imaging data and provides feedback on adequacy for 3D model generation. Identifies imaging artifacts, resolution issues, and other factors that may affect model accuracy before processing begins.","intents":["I need to know if this imaging is good enough for 3D modeling","I want to identify imaging problems before investing time in model generation","I need guidance on whether to re-image or proceed with current data"],"best_for":["cardiac imaging specialists","radiologists","cardiac imaging technologists","cardiac imaging quality assurance teams"],"limitations":["Assessment is automated and may miss subtle quality issues","Requires clear quality standards and thresholds","Cannot predict all downstream effects on model accuracy"],"requires":["Cardiac imaging data (CT/MRI)","Quality assessment algorithms","Defined quality standards"],"input_types":["DICOM imaging files","CT scan data","MRI scan data"],"output_types":["Quality assessment reports","Artifact identification","Recommendations for re-imaging","Quality metrics"],"categories":["healthcare","quality-assurance","medical-imaging"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["Standard cardiac CT or MRI imaging data","Integration with hospital imaging infrastructure","Adequate imaging quality standards","Generated 3D cardiac model","Workstation with adequate graphics capabilities","User training on visualization interface","High-quality 3D cardiac model","Segmented anatomical structures","Measurement tools and calibration","Patient-specific 3D cardiac model"],"failure_modes":["Model accuracy degrades significantly with poor quality input imaging","Requires high-resolution CT or MRI scans","Processing time depends on imaging dataset size and complexity","Requires adequate display hardware and computing resources","Learning curve for new users unfamiliar with 3D visualization tools","Model quality depends on input imaging quality","Measurement accuracy depends on model segmentation quality","Manual verification of automated measurements recommended","Cardiac motion and phase of cardiac cycle affect measurements","Recommendations based on anatomical fit; clinical judgment still required","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.82,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.445Z","last_scraped_at":"2026-04-05T13:23:42.547Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=inheart","compare_url":"https://unfragile.ai/compare?artifact=inheart"}},"signature":"4lBW5kVCCOVsYQnq1qkqKi2ultdB4cHly1QijLZOlbrnptVhBRL53LQ/Ox5vsdAQhasT6df4666heI7phJtxBg==","signedAt":"2026-06-21T21:35:10.955Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/inheart","artifact":"https://unfragile.ai/inheart","verify":"https://unfragile.ai/api/v1/verify?slug=inheart","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}