Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP ...

My colleagues and I in Birmingham are always on the lookout for an undergraduate textbook for our medical students, which was why I agreed to review this book. By and large it is pitched at an ...

The emerging international biomedical law tends to recognise the right not to know one’s genetic status. However, the basis and conditions for the exercise of this right remain unclear in domestic ...

It is a privilege to have respected colleagues engage with our definition and ethical evaluation of overdiagnosis. In our response to the commentaries, we first deal with paradigmatic issues: the ...

Background: Medical confidentiality underpins the doctor–patient relationship and ensures privacy so that intimate information can be exchanged to improve, preserve, and protect the health of the ...

Organoids are three-dimensional biological structures grown in vitro from different kinds of stem cells that self-organise mimicking real organs with organ-specific cell types. Recently, researchers ...

Artificial intelligence (AI) is expected to revolutionise the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in variety of clinical tasks: detecting ...

The COVID-19 pandemic is putting the NHS under unprecedented pressure, requiring clinicians to make uncomfortable decisions they would not ordinarily face. These decisions revolve primarily around ...

Healthcare professionals’ capacity to protect themselves, while caring for infected patients during an infectious disease pandemic, depends on their ability to practise universal precautions. In turn, ...

Vaccines are a powerful measure to protect the health of individuals and to combat outbreaks such as the COVID-19 pandemic. An ethical dilemma arises when one effective vaccine has been successfully ...

Empirical findings from a Swedish longitudinal screening study show that many of the research subjects had a limited understanding of the study. Nevertheless they were satisfied with the understanding ...

Durán et al argue in ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI’1 that traditionally proposed solutions to make black box machine learning ...