📢 Our new study, led by @MariaSolAndres1, examines whether machine learning can identify patients at risk of CTRCD before treatment, with @mmamas1973, @amibanerjee1, and @arjunkg,
9 studies showed promising discrimination, but important gaps remain.
#CardioOncology #AI
9 studies showed promising discrimination, but important gaps remain.
#CardioOncology #AI
#MachineLearning – enhanced baseline risk prediction models for cancer therapy related cardiac dysfunction: a systematic review and critical appraisal of methodological quality ow.ly/LQ0W50ZBIa4
#EHJDigital #cardiotoxicity
@BruiningNico @rafavidalperez @fwasselbergs @EACVIPresidentView quoted post on X
