“With generative AI becoming more capable of producing remarkably convincing radiology reports, there’s a greater risk of fabricated reports being used to falsify medical histories and support fraudulent claims,” the team cautioned.
When working-age adults develop cardiovascular disease, it often ends up eating up a significant amount of their income. Are insurance companies doing enough to help these patients?
Motives for the hesitancy are several—transportation concerns, informational inadequacies, historical wrongs—but effective resolutions can be quite simple.
Cedars-Sinai researchers are developing a deep-learning algorithm to personalize patient cardiac risk predictions in a patient-friendly, graphical report.
Someday, getting an MRI exam could be as simple as having food delivered to your door—at least that is the hope of a group of experts at the University of Minnesota who are working on a compact system said to be small enough to sit in the bed of a truck.
Researchers at the University of Illinois Chicago have developed an elective course that can quickly transform fourth-year medical students from functional AI novices to budding AI experts.
