A mission-critical cardiac contour refinement tool developed under urgent timeline to save a clinical trial for Heart Health. The Delta Nudge tool addresses the critical need for precise manual adjustment of AI-generated cardiac boundary predictions. While AI models provide initial endocardium and epicardium contour predictions, clinical accuracy demands sophisticated manual refinement capabilities.
This innovative tool enables radiologists to make minimalistic, incremental adjustments to freehand ROI drawings with unprecedented precision and ease of use. Built on the DICOM image viewer using React.js and Cornerstone.js components, the tool provides an intuitive interface for fine-tuning cardiac boundaries, which are then used for calcification calculations essential to accurate cardiac diagnosis.
The project exemplified exceptional engineering agility when clinical feedback revealed the previous tool was not user-friendly, threatening the clinical trial timeline. Our team executed a rapid turnaround, redesigning and redeveloping the tool to meet clinical requirements and earn high appreciation from the client for technical skills and dedication.
Heart Health faced a clinical trial emergency when radiologists reported that the existing boundary adjustment tool was not user-friendly for the precise work required in cardiac imaging analysis. AI-generated endocardium and epicardium contours needed frequent manual refinement, but the tool's interface made incremental adjustments difficult and time-consuming.
The clinical trial was at risk due to workflow inefficiencies and radiologist frustration. The challenge required not just technical improvement but a complete UX reimagining under extreme time pressure, as any delay could compromise months of clinical research work and patient data collection.
Sophisticated freehand ROI adjustment for cardiac boundaries
Minimalistic and incremental nudging capability for precision
Intuitive interface designed for radiologist workflow efficiency
Real-time endocardium contour refinement tools
Real-time epicardium contour refinement tools
Seamless integration with calcification calculation workflow
Built on React.js for responsive user experience
Cornerstone.js foundation for DICOM image rendering
Rapid deployment under emergency timeline
Clinical feedback-driven iterative design process
Facing a clinical trial emergency, our team executed an accelerated development cycle focused on user-centric design and rapid iteration to deliver a production-ready solution in record time.
Immediately gathered clinical feedback from radiologists to understand usability pain points in the existing tool. Conducted rapid UX analysis of cardiac boundary adjustment workflows. Designed new interface prioritizing minimalistic, incremental adjustment capabilities with intuitive controls. Created React.js component architecture integrated with Cornerstone.js for optimal DICOM image handling and smooth user interactions.
Executed intensive development sprint building the Delta Nudge tool with React.js and Cornerstone.js. Implemented sophisticated freehand ROI adjustment algorithms for precise boundary nudging. Created intuitive controls for incremental endocardium and epicardium contour modifications. Integrated seamlessly with existing calcification calculation pipeline. Conducted parallel development and clinical user testing to ensure radiologist satisfaction and workflow compatibility.
Deployed tool under compressed timeline to prevent clinical trial delays. Provided immediate hands-on training to radiologists and clinical staff. Monitored real-world usage and gathered rapid feedback. Made quick refinements based on initial clinical use. Validated that the tool met clinical accuracy requirements and significantly improved radiologist efficiency, successfully saving the clinical trial timeline.
The Delta Nudge tool successfully saved Heart Health's clinical trial through exceptional engineering responsiveness and clinical insight. Radiologists gained a highly intuitive tool that dramatically improved their ability to refine AI-generated cardiac contours with precision and efficiency.
The minimalistic nudging capability enabled accurate endocardium and epicardium boundary adjustments, leading to more reliable calcification calculations and diagnostic outcomes.
The client highly appreciated our team's rapid turnaround, technical skills, and dedication to clinical success. This project demonstrated our ability to deliver mission-critical solutions under pressure while maintaining the highest standards of usability and clinical accuracy.
