When AI misses a diagnosis, the cardiologist signs alone
Artificial intelligence (AI) has rapidly reshaped cardiovascular imaging, particularly echocardiography, where machine learning algorithms now assist in image acquisition, chamber quantification, valvular assessment, strain analysis, and diagnostic interpretation. While these technologies promise enhanced efficiency and diagnostic accuracy, they also introduce an unresolved legal dilemma: When AI contributes to a missed diagnosis, who bears responsibility? Traditional malpractice principles designate the interpreting cardiologist as the primary legal decision-maker. Yet these doctrines evolved …
When AI misses a diagnosis, the cardiologist signs alone
















