Latest AI and machine learning research in ethics for healthcare professionals.
BACKGROUND: The development of artificial intelligence (AI) raises ethical concerns about its side effects on the attitudes and behaviors of clinicians and medical practitioners. The authors aim to understand the medical ethics of AI-based chatbots and to suggest coping strategies for an emerging landscape of increased access and potential ambiguity using AI.
The COVID-19 pandemic has given rise to a broad range of research from fields alongside and beyond the core concerns of infectiology, epidemiology, and immunology. One significant subset of this work centers on machine learning-based approaches to supporting medical decision-making around COVID-19 diagnosis. To date, various challenges, including IT issues, have meant that, notwithstanding this st...
The integration of Clinical Decision Support Systems (CDSS) based on artificial intelligence (AI) in healthcare is groundbreaking evolution with enorm...
Artificial Intelligence (AI) holds immense potential for revolutionizing medical education and healthcare. Despite its proven benefits, the full integ...
BACKGROUND: The healthcare sector demands a higher degree of responsibility, trustworthiness, and accountability when implementing Artificial Intellig...
This article discusses the application of artificially intelligent robots within eldercare and explores a series of ethical considerations, including ...
This essay examines how artificial intelligence (AI) technologies may shape international norms. Following a brief discussion of the ways in which AI ...
The medical history underscores the significance of ethics in each advancement, with bioethics playing a pivotal role in addressing emerging ethical c...
The advent of AI has ushered in a new era of patient care, but with it emerges a contentious debate surrounding accountability for algorithmic medical...
The growing demand for data scientists in both the global and Dutch labour markets has led to an increase in data science and artificial intelligence ...
The communication gap between patients and health care professionals has led to increased disputes and resource waste in the medical domain. The devel...
The integration of artificial intelligence (AI) in dermatology holds promise for enhancing clinical accuracy, enabling earlier detection of skin malig...
Synthetic data promises to be a viable alternative when data collection and data sharing may not be feasible or cost effective, but it raises distinct...
To evaluate functional outcomes of robot-assisted ureteroplasty with labial mucosa grafting for long proximal ureteral stenosis (LPUS) in children an...
Neuroimaging data repositories are data-rich resources comprising brain imaging with clinical and biomarker data. The potential for such repositories ...
BACKGROUND: Electronic health records (EHRs) contain valuable information for clinical research; however, the sensitive nature of healthcare data pres...
The relationship between ethics and artificial intelligence in medicine is a crucial and complex topic that falls within its broader context. Ethics i...
The use of artificial intelligence (AI) in medicine, potentially leading to substantial advancements such as improved diagnostics, has been of increas...
The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizen...
With the increasing prevalence of artificial intelligence (AI) and other digital technologies in healthcare, the ethical debate surrounding their adop...