This call to action aims to increase awareness of inclusive language in medicine to enhance the experiences of patients and staff and improve health outcomes. Recognizing that terms change, we urge all health-care professionals to advocate for their colleagues and patients. This responsibility to educate the community should not fall exclusively onto marginalized communities.

Large language models represent a transformative leap in artificial intelligence and natural language processing, offering exciting potential across cardiology, from clinical care to education and research. However, several crucial challenges limit the practical implementation of large language models in cardiology. Interdisciplinary research is imperative to overcome these barriers.

English has long been the dominant language in scientific communication. Although having a universal language for scientific communication is beneficial, this standard imposes a considerable barrier for researchers who do not speak English fluently. However, the current generation of scientists is overcoming this barrier through the use of artificial intelligence-based language tools.

Debate exists regarding the best terminology for common presentations of heart diseases caused by epicardial and/or microvascular coronary artery disease with or without myocardial ischaemia. In this Comment, we discuss the pros and cons of a new proposal to replace the vessel-based nomenclature of acute and chronic coronary syndromes with the myocardial-oriented nomenclature of acute and non-acute myocardial ischaemic syndromes.

After myocardial infarction, monocytes are actively recruited to the brain to augment sleep power and abundance, which in turn helps to limit cardiac inflammation and promotes recovery.

A review of Robin Choudhury’s book The Beating Heart: The Art & Science of Our Most Vital Organ, which explores depictions and perceptions of the heart across millennia.