Clinical translation of tissue-engineered oesophageal grafts: are patients ready for us?

Purpose: We sought to engage with expert patient/carers to understand attitudes towards use of tissue engineering (TE) for long-gap oesophageal atresia (OA).

Methods: An in-person engagement event for 70 patients/parents was held by the OA patient group, TOFS. Attitudes towards TE were assessed before and after a talk on use of TE oesophagi in a pre-clinical OA model.

"How I would like AI used for my imaging": children and young persons' perspectives.

Objectives: Artificial intelligence (AI) tools are becoming more available in modern healthcare, particularly in radiology, although less attention has been paid to applications for children and young people. In the development of these, it is critical their views are heard.

Materials And Methods: A national, online survey was publicised to UK schools, universities and charity partners encouraging any child or young adult to participate.

Engaging children and young people on the potential role of artificial intelligence in medicine.

Introduction: There is increasing interest in Artificial Intelligence (AI) and its application to medicine. Perceptions of AI are less well-known, notably amongst children and young people (CYP). This workshop investigates attitudes towards AI and its future applications in medicine and healthcare at a specialised paediatric hospital using practical design scenarios.

Enteropathy-associated T-cell lymphoma manifesting as non-specific abdominal pain: A case report highlighting the dangers of relying on Google Translate for clinical history taking.

We present the case of a 60-year-old man with non-specific abdominal pain. We explore how communication between doctor and patient was challenged by a language barrier. We also consider how the ability to take an accurate clinical history differed between Google Translate and an accredited medical phone translation service.