“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.
Artificial intelligence tools have proven to be beneficial in detecting pulmonary nodules on chest CTs of adults, but less is known about their utility in pediatric populations.
Cardiologists and other physicians have always believed cardiac transthyretin amyloidosis, a progressive heart condition associated with a high mortality rate, was irreversible. Now, though, new evidence suggests that there may be hope.
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.
