Why we should not mistake accuracy of medical AI for efficiency.

In the medical literature, promising results regarding accuracy of medical AI are presented as claims for its potential to increase efficiency. This elision of concepts is misleading and incorrect. First, the promise that AI will reduce human workload rests on a too narrow assessment of what constitutes workload in the first place.

Alleviating the burden of malaria with gene drive technologies? A biocentric analysis of the moral permissibility of modifying malaria mosquitoes.

Gene drive technologies (GDTs) have been proposed as a potential new way to alleviate the burden of malaria, yet have also raised ethical questions. A central ethical question regarding GDTs relates to whether it is morally permissible to intentionally modify or eradicate mosquitoes in this way and how the inherent worth of humans and non-human organisms should be factored into determining this. Existing analyses of this matter have thus far generally relied on anthropocentric and zoocentric perspectives and rejected an individualist biocentric outlook in which all living organisms are taken to matter morally for their own sake.

Establishing a multistakeholder research agenda: lessons learned from a James Lind Alliance Partnership.

Objective: The James Lind Alliance (JLA) offers a method for better aligning health and care agenda's with the needs of patients, carers and clinicians by bringing them together in a Priority Setting Partnership (PSP). In this paper, we draw attention to crucial lessons learnt when establishing such a shared research agenda.

Key Arguments: Having specific strategies and plans in place for maximising dialogic processes in a PSP can help facilitate and maintain trust, innovation and equal inclusion.

Responsibility beyond design: Physicians' requirements for ethical medical AI.

Medical AI is increasingly being developed and tested to improve medical diagnosis, prediction and treatment of a wide array of medical conditions. Despite worries about the explainability and accuracy of such medical AI systems, it is reasonable to assume that they will be increasingly implemented in medical practice. Current ethical debates focus mainly on design requirements and suggest embedding certain values such as transparency, fairness, and explainability in the design of medical AI systems.

Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI.

The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black box algorithms. These worries connect epistemic concerns with normative issues.

User Experiences With and Recommendations for Mobile Health Technology for Hypertensive Disorders of Pregnancy: Mixed Methods Study.

Background: Hypertensive disorders of pregnancy (HDP) are a primary cause of adverse maternal and neonatal outcomes worldwide. For women at risk of hypertensive complications, guidelines recommend frequent surveillance of blood pressure and signs of preeclampsia. Clinic visits range from every 2 weeks to several times a week.

National Standards for Public Involvement in Research: missing the forest for the trees.

Biomedical research funding bodies across Europe and North America increasingly encourage-and, in some cases, require-investigators to involve members of the public in funded research. Yet there remains a striking lack of clarity about what 'good' or 'successful' public involvement looks like. In an effort to provide guidance to investigators and research organisations, representatives of several key research funding bodies in the UK recently came together to develop the National Standards for Public Involvement in Research.

The usual suspects: why techno-fixing dementia is flawed.

Dementia is highly prevalent and up until now, still incurable. If we may believe the narrative that is currently dominant in dementia research, in the future we will not have to suffer from dementia anymore, as there will be a simple techno-fix solution. It is just a matter of time before we can solve the growing public health problem of dementia.

The implausibility of response shifts in dementia patients.

Dementia patients may express wishes that do not conform to or contradict earlier expressed preferences. Our understanding of the difference between their prior preferences and current wishes has important consequences for the way we deal with advance directives. Some bioethicists and gerontologists have argued that dementia patients change because they undergo a 'response shift'.

Beyond competence: advance directives in dementia research.

Dementia is highly prevalent and incurable. The participation of dementia patients in clinical research is indispensable if we want to find an effective treatment for dementia. However, one of the primary challenges in dementia research is the patients' gradual loss of the capacity to consent.