A recent study by Suissa and colleagues explored the clinical relevance of a medical image segmentation metric (Dice metric) commonly used in the field of artificial intelligence (AI). They showed that pixel-wise agreement for physician identification of structures on ultrasound images is variable, and a relatively low Dice metric (0.34) correlated to a substantial agreement on subjective clinical assessment. We highlight the need to bring structure and clinical perspective to the evaluation of medical AI, which clinicians are best placed to direct.
Journal article
2024-05-01T00:00:00+00:00
132
1016 - 1021
5
artificial intelligence, evaluation, medical devices, regional anaesthesia, regulation, standardisation, ultrasound, Humans, Artificial Intelligence, Anesthesia, Conduction, Physicians