AI can now address misdiagnosis of heart diseases surpassing differences in gender-based symptoms

Due to the diagnostic difficulty it presents and the persistent belief that cardiovascular disease (CVD) mostly affects males, women’s CVD continues to go undiagnosed and untreated. Although gender-related risk variables have already been identified, there is a dearth of clinical applicability, which causes women with CVD to be misdiagnosed and poorly managed. To optimize care and significantly reduce morbidity and mortality in this patient population, it is essential to address gender-specific symptomatology and risk factors.