Early detection of cardiac amyloidosis is leads to the best outcomes, but it is often missed until later stages. AI is being developed to help detect these patients earlier using ECG and echo.
Researchers developed an advanced AI model capable of extracting measurements from unprocessed CT images in seconds. It then uses those data to evaluate the patient's mortality risk if they underwent TAVR.
Scientists are people too. As such, when engaged in research projects using AI, they must resist the very human impulse to over-delegate tasks to algorithms.
Stanford researchers have created synthetic yet highly realistic chest X-rays by customizing an open-source AI model called Stable Diffusion for rendering text as images.
