Artificial Intelligence in Reproductive Medicine - An Ethical Perspective.

Artificial intelligence is steadily being integrated into all areas of medicine. In reproductive medicine, artificial intelligence methods can be utilized to improve the selection and prediction of sperm cells, oocytes, and embryos and to generate better predictive models for in vitro fertilization. The use of artificial intelligence in this field is justified by the suffering of persons or couples who wish to have children but are unable to conceive.

[Capable or incapable of giving consent? Assessing a patient's capacity to consent: Procedures and challenges in daily clinical practice].

Background/objectives: The capacity of patients to give consent (CTC) is an indispensable prerequisite for informed consent to medical measures. When there is doubt about a patient's CTC, careful assessment is therefore required. Despite a broad theoretical discussion about the conception of CTC and possible procedures for its assessment, there is often a lack of orientation towards binding standardized procedural guidelines in everyday clinical practice.

The relevance of different trust models for representation in patient organizations: conceptual considerations.

Background: Trust within organizations is important for ensuring members' acceptance of the organization's activities and to expand their scope of action. Remarkably, Patient Organizations (POs) that often both function as a forum for self-help and represent patients on the health-political level, have been understudied in this respect. This paper analyzes the relation between trust and representation in POs.