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 ...

Haiyan He, Chaojie Liu, Ying Huang, Wei Ouyang, Zirui Xin, Hanan Khalil, Aijing Luo, Wenzhao Xie ...

After initially emerging in China, the coronavirus (COVID-19) outbreak has advanced rapidly. The World Health Organization (WHO) has recently declared it a pandemic, with Europe becoming its new ...

Institutional guidelines for transgender children and adolescent minors fail to adequately address a critical juncture of care of this population: how to proceed if a minor and their parents have ...

Objectives: Recent legislative changes within the United Kingdom have stimulated professional debate about access to patient data within research. However, there is currently little awareness of ...

The attitudes of Australian practitioners working in clinical genetics and obstetrical ultrasound were surveyed on whether termination of pregnancy (TOP) should be available for conditions ranging ...

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 ...

Introduction Switzerland lacks specific legal regulation of assistance in suicide. The practice has, however, developed since the 1980s as a consequence of a gap in the Swiss Criminal Code and is ...

Presently, there is a movement in the UK research governance framework towards what is referred to as proportional ethical review. Proportional ethical review is the notion that the level of ethical ...

It is time for the noon conference. Your job is to impart a career-changing experience in ethics to a group of students and interns gathered from four different schools with varying curriculums in ...

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 ...