Cardiovascular disease remains the leading cause of death in women, and there is growing evidence of sex- and gender-based differences in how it develops and progresses. This review provides an overview of the main opportunities for cardiovascular screening in women and of the potential role of artificial intelligence and digital tools.
The authors note that healthcare providers, guideline committees and policymakers are not yet well equipped to collect data on women, interpret it, or use it to design targeted interventions. The review includes a section on bias in AI and looks at different stages of a woman’s life, from youth and pregnancy to menopause and older age, as well as the implications of AI for clinical guidelines and public health.
Learn more about this review here: https://doi.org/10.1161/CIRCRESAHA.121.319876
References:
Adedinsewo, D.A., Pollak, A.W., Phillips, S.D., Smith, T.L., Svatikova, A., Hayes, S.N., Mulvagh, S.L., Norris, C., Roger, V.L., Noseworthy, P.A., Yao, X., & Carter, R.E. (2022). Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools. Circulation Research, 130(4), 673–690.
