Key points are not available for this paper at this time.
Design
Editorial
Machine learning has the potential to develop more accurate risk scores that summarize complex clinical information for easy interpretation.
Interpretation of multiple pieces of information including imaging, blood tests and demographic information (left panel) is required for clinical decision making. Risk scores are an existing, familiar way to summarise this information and guide clinical decision making (right panel). A new generation of more accurate risk scores could be developed by machine learning (central panel) to summarise complex clinical information in scores that allow easy interpretation.
No takes yet. Share an insight, caveat, or question.
Banerjee et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: