Al algorithm improves skeletal age assessment by radiologists, study finds

USA: The use of artificial intelligence (AI) algorithms improves radiologists' performance in the assessment of skeletal age, according to a recent study in Radiology, the journal of Radiological Society of North America (RSNA). 

The study found that the use of an AI algorithm improved skeletal age assessment accuracy and reduced interpretation times for radiologists. 

Bone age is an effective indicator for diagnosing various diseases and determining the timing of treatment. Several computerized systems for bone age assessment have been developed as the accuracy of bone age assessment is very important. David K. Eng, Stanford University, Stanford, CA, and colleagues aimed to evaluate and compare the accuracy and interpretation time of skeletal age assessment on hand radiograph examinations with and without the use of an AI algorithm as a diagnostic aid.

The study was a prospective randomized controlled trial, the accuracy of skeletal age assessment on hand radiograph examinations was performed with (n = 792) and without (n = 739) the AI algorithm as a diagnostic aid. For examinations with the AI algorithm, the radiologist was shown the AI interpretation as part of their routine clinical work and was permitted to accept or modify it. Hand radiographs were interpreted by 93 radiologists from six centers. The primary efficacy outcome was the mean absolute difference between the skeletal age dictated into the radiologists' signed report and the average interpretation of a panel of four radiologists not using a diagnostic aid. The secondary outcome was the interpretation time. A linear mixed-effects regression model with a random center- and radiologist-level effects was used to compare the two experimental groups.