Monday, November 28 | 9:30 a.m.-10:30 a.m. | M3-SSIN02-6 | Room E350
In this talk, researchers will describe how they identified and addressed challenges to integrating radiology artificial intelligence (AI) algorithms into their clinical workflow.In this talk, researchers will describe how they identified and addressed challenges to integrating radiology artificial intelligence (AI) algorithms into their clinical workflow.
Although numerous healthcare institutions are developing and investigating AI algorithms, the process for translating these models into the clinical workflow isn’t as well understood, according to presenter Panagiotis Korfiatis, PhD, and colleagues from Children’s Hospital of Philadelphia Research Institute. The team developed an approach to analyzing the technical, operational, workflow, and regulatory challenges for implementing internally developed AI algorithms.
“Understanding these challenges can help the leadership team define the scope and identify gaps that must be addressed to achieve the strategic goals and create AI that can benefit patients,” the authors wrote in their abstract.
What did they find and how did they overcome these hurdles? Stop by this Monday morning presentation to learn more.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
