Fig. 1.

Over the past decade, there has been a rapid increase in the number of studies developing machine learning approaches for burn wound classification using imaging data. (a) Cumulative number of published studies on ML burn classification methods using imaging data as a function of time over the past two decades. A progressively steeper increase in the cumulative number of publications is observed, especially over the past decade. (b) Cumulative number of different imaging modalities employed to train ML-based burn wound classification algorithms in published studies, plotted as a function of time over the past two decades. As with the cumulative number of published studies, the cumulative number of imaging modalities used in these applications has increased sharply over the past decade.