Perhaps machine learning systems trained on patients’ electronic health records and social media footprints could be used as decision aids when patients lack capacity or face overwhelming decisions.

Trafficking-specific ICD-10-CM codes account for physical, social, and psychological dimensions of trafficked patients’ experiences. Data collected by clinicians can also motivate improvements in health policy, resource allocation, and prevention.

End-stage heart failure patients can experience depression along with their chronic illness. Multidisciplinary responses are critical.

This image aims to promote reflection about patients’ feelings of sadness, despair, helplessness, and uncertainty upon being diagnosed.

The DSM-5 Task Force’s handling of the ethical controversy over the bereavement exclusion demonstrates the need for more inclusive deliberative processes.

Two concerns (unknowability of how output is derived from input and overreliance on clinical decision support systems) are main sources of ethical questions about AI in health care.

Women who are pregnant might not treat their mental illnesses because they overestimate risks of medication and underestimate risks of leaving their illness untreated.

John is one patient-sitter whose cancer and portraiture experiences illuminate what it means to witness, to express regard for another’s difficult health and health care experiences.

Sitting for his portrait gave William an opportunity to reflect, even when he was not inclined naturally to do so.

Lisa is one patient-sitter who took comfort in the permanence of portraiture amidst the uncertainties of tongue cancer. Her experience offers an abundance of lessons for art and healing.