However, medical image sharing could also produce an influx of questions from patients who have concerns about what they're looking at, authors of a new paper suggest.
Although studies have shown AI to be effective as a support tool, several have also highlighted issues related to the potential for bias in algorithms that have not been trained on diverse datasets.
The new research, presented during ARRS 2024 in Boston, suggests CVD risk models may need to include certain findings identified in routine mammograms.
The goal of the study is to obtain quantitative data on how daily training and competing affect players’ musculoskeletal health. The information will be used to inform training, rest and recovery periods.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.