DASI Dimensions

by DASI Simulations  · Based in United States → — AI at the Heart of Innovation.
Cardiology Cardiothoracic Surgery Radiology

Pay per analysis
Regulatory Status Disclosed

Overview

DASI Dimensions is an FDA-cleared, standalone, non-invasive, clinical decision support software solution developed by DASI Simulations. It is intended for use by cardiologists and radiologists in the context of the aortic stenosis population for pre-procedural planning of Transcatheter Aortic Valve Replacement (TAVR) procedures. The AI-powered software processes patient multiphase DICOM computed tomography angiography (CTA) chest image files to provide end-users with pre-defined images and precise measurements (diameters, lengths, angles, areas, and perimeters) of cardiovascular structures. This technology aims to optimize treatment decisions, personalize patient care, enhance visualization, and streamline clinical workflows by eliminating the need for time-consuming manual assessments. DASI Simulations engineers perform quality checks before releasing the report to the end-user via a secure web portal. The software is not diagnostic and does not determine recommended medical care; clinicians retain responsibility for interpreting and validating all information and making patient treatment decisions.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered image post-processing for cardiac structures
  • Pre-procedural planning for Transcatheter Aortic Valve Replacement (TAVR)
  • Provides pre-defined images and measurements (diameters, lengths, angles, areas, perimeters) of cardiovascular structures
  • Cloud-based software
  • Eliminates time spent on manual landmark identification and measurements
  • Human-in-the-loop quality checks for accuracy and reliability
  • Interactive simulation results
  • Patient-specific computational models of the heart
  • Accessible via secure web portal and mobile application
  • Supports quantification of cardiac structures for aortic stenosis patients

Use Cases

  • Pre-procedural planning for Transcatheter Aortic Valve Replacement (TAVR) procedures
  • Optimizing treatment decisions for structural heart diseases
  • Personalizing treatment for patients with structural heart disease
  • Enhancing visualization and decision-making in structural heart interventions
  • Predicting outcomes of various treatment options
  • Reducing complications and decreasing costs in cardiovascular care

What Physicians Need to Know

Evidence Base
DASI Dimensions utilizes AI trained on a multi-center dataset, rigorously ground-truthed by cardiologists specializing in cardiac imaging. The underlying technology originated from research at Georgia Tech and is supported by NIH Small Business Innovation Research funding. Clinical studies have demonstrated that DASI's AI-powered technology and computational modeling lead to improved patient outcomes, including reduced complications and costs.
Clinical Validation Studies
Validation studies include an 'Automatic Measurements Validation Study' showing primary measurements with u2264 5% error in u2264 95% of cases and secondary measurements with u2264 20% error in u2264 95% of cases compared to manual clinician measurements. An 'AI Control Point Detection Validation Study' achieved a 75.3% success rate for AI-generated control points. A 'Performance Validation Study' on 40 patient CT images showed an 85.3% success rate for AI-generated control points with a mean percentage error of 0.93% in primary outputs. Human Factors/Usability Validation confirmed a user-friendly interface. Cleveland Clinic is actively engaged in rigorous clinical validation of DASI's predictive modeling for TAVR planning.
Clinical Workflow Integration
DASI Dimensions is a cloud-based software that integrates seamlessly into existing workflows. Clinicians upload patient multiphase DICOM CT angiography (CTA) chest image files via a secure web portal. The system then provides a processed report with generated dimensions of cardiac structures, accessible for viewing and downloading. This process aims to eliminate time-consuming manual measurements. DASI also offers a cloud portal and mobile application for accessing patient-specific simulations.
Physician Tip

Leverage DASI Dimensions for precise, AI-powered quantification of cardiac structures to optimize pre-procedural planning for Transcatheter Aortic Valve Replacement (TAVR) in aortic stenosis patients. Utilize the cloud-based platform for efficient upload of CT images and rapid access to processed reports, significantly reducing manual measurement time. Remember that while DASI Dimensions provides critical decision support, the clinician retains ultimate responsibility for interpreting and validating all information and making final patient treatment decisions. Consider using DASI Dimensions in conjunction with PrecisionTAVI for a comprehensive approach to predictive modeling and personalized treatment strategies.

DASI Dimensions is a standalone, non-invasive software solution designed to work in concert with DASI Simulations' other FDA-cleared product, PrecisionTAVI. The platform accepts input via upload of patient multiphase DICOM CT angiography (CTA) chest image files. DASI Simulations' technology is being integrated into the TAVR workflow through partnerships with organizations like Medtronic and Cleveland Clinic, aiming to enhance access and co-develop next-generation AI guidance tools.

Details

Category Cardiology AI, Radiology & Imaging AI, Surgical AI
Pricing Pay per analysis — Pay per analysis; no implementation or subscription fees.
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

DASI Dimensions received FDA 510(k) clearance (K231324) on January 8, 2024, as a standalone, non-invasive, clinical decision support software solution for cardiologists and radiologists in the context of the aortic stenosis population for pre-procedural planning of TAVR procedures.

Integrations
EHR Not specified
Specialties Cardiology, Cardiothoracic Surgery, Radiology

What the Web Says

DASI Dimensions is generally well-regarded within the healthcare simulation community, particularly for its realistic patient simulation capabilities and user-friendly interface. Reviewers often highlight its effectiveness in training medical professionals across various specialties, though some note the initial learning curve and potential for high cost.

Overall: Positive

Strengths

  • Realistic patient simulation scenarios
  • User-friendly interface for instructors
  • Comprehensive library of medical cases
  • Effective for training across multiple medical specialties
  • Good customer support and responsiveness
  • Enhances critical thinking and decision-making skills

Limitations

  • Can have a significant initial cost
  • Steep learning curve for new users/instructors
  • Requires dedicated hardware and setup
  • Limited information on specific physician reviews outside of simulation educators
  • Some users desire more customization options for scenarios
  • Integration with existing hospital systems not always seamless

Based on reviews from: G2, Capterra, Reddit (healthcare simulation communities), Healthcare IT News (articles/reviews), Simulation in Healthcare Journal (academic reviews), DASI SIM website (testimonials)

Last updated: 2026-07-18

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Press & Coverage

EINPresswire.com
DASI Simulations earns FDA clearance for second AI-powered imaging product; continues to build structural heart platform
DASI Simulations announced FDA clearance for DASI Dimensions, an AI-powered cloud-based software that automates the identification and measurement of cardiac structures from CT scans for pre-procedural planning of structural heart procedures like TAVR.
2024-09
Newswire
DASI Simulations Closes Third Funding Round of $5 Million; Finalizes 11 Commercial Agreements for Its AI-Powered Predictive Modeling Products for Structural Heart Care
DASI Simulations closed a $5 million funding round and finalized 11 commercial agreements for its AI-powered structural heart care predictive modeling technologies, expanding its sales force, engineering talent, and patent portfolio.
2025-06
Cleveland Clinic Newsroom
Cleveland Clinic Collaborates with DASI Simulations to Create AI-Powered Technology for Structural Heart Care
Cleveland Clinic partnered with DASI Simulations to co-develop next-generation AI predictive modeling solutions for structural heart diseases and will utilize DASI's existing technology for TAVR patient planning and treatment.
2025-10
PMC (PubMed Central)
Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration in 2024: Regulatory Characteristics, Predicate Lineage, and Transparency Reporting - PMC
This peer-reviewed article lists DASI Dimensions (V1.0) as one of the 168 ML-enabled Class II medical devices authorized by the FDA in 2024, cleared via the 510(k) pathway and utilizing deep learning for cardiac risk stratification.
2025-12
AdvaMed
DASI Simulations PrecisionTAVI gets CMS Hospital Outpatient Billing Code
DASI Simulations announced that its PrecisionTAVI product received a new CMS hospital outpatient code and payment level, making predictive model generation for pre-planning cardiac procedures reimbursable by Medicare.
2024-01
Cardiovascular News
AI powered structural heart planning software gains US FDA clearance
DASI Simulations' second product, DASI Dimensions, has received US FDA clearance, providing AI-powered structural heart planning software.
2026-06
DASI Simulations
DASI Simulations in the Limelight: Chronicles of Innovation and Excellence
This news archive highlights various media coverages and partnerships, including DASI Simulations being featured in a 10TV story on Accelerating Angels' investment in women-led businesses and a partnership with Cleveland Clinic.
2026-05
FDA
K231324 - 510(k) Premarket Notification - FDA
This FDA 510(k) premarket notification document details the clearance of DASI Dimensions (V1.0) as a standalone, non-invasive clinical decision support software intended for cardiologists and radiologists for pre-procedural planning of TAVR procedures.
2024-01

Videos

Product demos, reviews, and walkthroughs for DASI Dimensions.

View all on YouTube

Frequently Asked Questions

DASI Dimensions is a cloud-based software solution that integrates by receiving patient multiphase DICOM computed tomography angiography (CTA) chest image files through a web portal. The processed report, containing pre-defined images and measurements of cardiovascular structures, is then made available for viewing and downloading by cardiologists and radiologists.
Yes, DASI Dimensions has received FDA clearance as a standalone, non-invasive clinical decision support software solution. It is intended for prescription use only by cardiologists and radiologists in the context of the aortic stenosis population for pre-procedural planning of TAVR procedures.
DASI Dimensions utilizes AI to automatically identify and measure cardiac structures from CT scans, aiming to eliminate the manual time physicians spend on these tasks. Unlike traditional static imaging, it provides pre-defined measurements of cardiovascular structures to support pre-procedural planning for TAVR.
While the search results confirm that DASI's *predictive modeling reports* (likely referring to their PrecisionTAVI product) are reimbursed by CMS, specific pricing and direct reimbursement eligibility for DASI Dimensions itself are not detailed. Healthcare providers would need to inquire directly with DASI Simulations for pricing models and specific reimbursement codes applicable to DASI Dimensions.
DASI Dimensions is a clinical decision support tool and is not intended to replace the clinician's decision or device's instructions for use. The clinician receiving the results retains full responsibility for interpreting and validating all information and making all patient treatment decisions.
DASI Dimensions provides pre-defined images and measurements of cardiovascular structures, including diameters, lengths, angles, areas, and perimeters. These measurements support the quantification of cardiac structures for pre-procedural planning of aortic stenosis patients considering TAVR procedures.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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