Latest AI and machine learning research in ethics for healthcare professionals.
OBJECTIVE: To examine UK general practitioners' (GPs) adoption of ambient artificial intelligence (AI) scribes and to assess user-reported error rates, workflow impact and consent practices in primary care. METHODS: We conducted a nationwide online mixed-methods survey of GPs recruited via Doctors.net.uk. Detailed analyses of use, errors and workflow impact focused on current users of ambient AI s...
The increasing use of online methods in qualitative research, alongside the growing availability of artificial intelligence tools, has raised concerns about whether researchers can be certain who they are speaking to. These concerns are often framed in terms of 'imposter' or 'fraudulent' participants, with proposed responses focusing on detection and verification. This paper argues that such frami...
Artificial intelligence (AI) technologies are increasingly integrated into nursing education often framed as neutral tools that enhance learning effic...
Reliable prediction of CO2 injectivity decline is essential for safe geological carbon storage, yet existing machine learning models often provide det...
Citizen science plays an increasingly important role in generating scientific knowledge and supporting environmental and social action. However, its p...
INTRODUCTION: Artificial intelligence (AI) is rapidly transforming healthcare systems and clinical practice, increasing the need to prepare future phy...
Artificial intelligence (AI) is rapidly transforming medical research and scholarly publishing, reshaping how scientific knowledge is produced, evalua...
INTRODUCTION: The rapid integration of artificial intelligence (AI) technologies in healthcare, ranging from diagnostic tools to clinical decision sup...
Medical Adaptive Machine Learning Systems (MAMLS) that continuously update their models using clinical data blur the conventional boundary between the...
BACKGROUND: Health Research Ethics Committees (HRECs) play a pivotal role in safeguarding research participants and ensuring ethical conduct. The rapi...
Health systems in disaster-prone settings face recurrent shocks that expose and often deepen existing inequities. Increasingly, innovation, particular...
Accurate ripeness assessment is essential for optimizing harvest timing, storage management and commercial grading in climacteric fruit supply chains....
BACKGROUND Chat Generative Pre-Trained Transformer (ChatGPT) is an advanced artificial intelligence (AI) tool that has become increasingly integrated ...
OBJECTIVES: To propose an equity-by-design agenda for socially assistive robots (SARs) as embodied digital health informatics interventions. MATERIALS...
INTRODUCTION: Enteric bacterial pathogens are a major cause of diarrhoeal disease in low-income and middle-income countries, with complex transmission...
INTRODUCTION: The efficacy of guideline-directed medical therapy (GDMT) for heart failure has been established in clinical trials, but trial populatio...
PURPOSE: A new method known as Lionized Remora optimization based Recurrent Neural Network (LRObRNN) is recommended to enhance the safety of medical i...
The concept of harm is central to medical ethics. In particular, it is frequently used in ethical deliberation about clinical cases and harm-benefit a...
BACKGROUND: Conversational artificial intelligence (AI) technologies are increasingly positioned as a response to social isolation, loneliness, and un...
Young people are among the most intensive users of digital and generative artificial intelligence (GenAI)-enabled mental health tools, yet they remain...