14 DAILY MICCAI Tuesday Poster Presentation more negative images for training, a substantial improvement in the model’s robustness. While the team was optimistic about finding solutions to these challenges, it was a journey that required time and dedication. Dan, who is from China, initially joined the project as an intern. She returned the following year, and together with Nhi, who hails from Ho Chi Minh City in Vietnam, they refined their methods. “I think for all of these solutions, intuitively, we expected those methods to work, but how well it works was a somewhat unexpected component,” Dan reveals. “Overall, the model’s performance was surprisingly good at the end.” Nhi and Dan are working to bring their innovative solution into the real world. They have submitted their product to the Food and Drug Administration (FDA) for approval, a crucial step in ensuring its safety and effectiveness. Their optimism stems from pilot studies and positive feedback from radiologists, who have long grappled with the issue of false positives from CAD systems, which slow down the screening process and introduce unnecessary complexity. The team’s model holds the potential to alleviate this burden significantly.
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