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.

When should ECMO be started and stopped? This month’s Ethics Talk explores ethical challenges of ECMO use in end-of-life care.

Patient-physician concordance is a matter of degree. In certain circumstances, greater concordance can motivate important goals of medicine.

Decision aids could help clinicians know when to request ethics consultation or re-evaluate blood product usage in a specific patient care situation.

Legal inconsistencies and variation in end-of-life options generate disparities in care for unrepresented patients.

The AMA Code of Medical Ethics discusses situations in which a surrogate is needed but not available to make health care decisions for a patient.

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.

As machine learning becomes increasingly common in health care, these systems’ data, algorithms, and recommendations raise critical justice questions.

HPV tests are alternatives to Pap smear screening that enable women to self-collect specimens and might be the best cervical cancer prevention strategy for many.