There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.

The data, published in Clinical Imaging, reveal that more than 20% of respondents have witnessed scientific fraud within their department and more than 85% reported the issue of publication bias. 

The human author reviewing the article wrote about the benefits and inherent risks of utilizing AI in a medical publication setting, concluding that, overall, it could be “a powerful tool” used in the future of medical publishing—when used with caution.

The neuroradiology specialist offered insight into the imaging findings of a 33-year-old man who is charged with two counts of premeditated first-degree murder. 

Brent Savoie, MD, JD, vice chair for radiology informatics, section chief of cardiovascular imaging, Vanderbilt University, explains who will get sued when there is a misdiagnosis due to artificial intelligence (AI).

The modality outperformed digital breast tomosynthesis, handheld ultrasound and automated breast ultrasound for cancer detection in a large cohort of women with dense breast tissue.

According to the Federal Register, the FDA is repealing these radiation protection recommendations because they have become “outdated” and “unnecessary.” 

A 40-year-old man was accompanying his mother to her MRI exam when the magnet caused his gun to fire, shooting him in the abdomen.