Although advances in deep learning systems for image-based medical diagnosis
demonstrate their potential to augment clinical decision-making, the effectiveness of …

Abstract Formulation development is a critical step in the development of medicines. The
process requires human creativity, ingenuity and in-depth knowledge of formulation …

The enormous potential for generative pretrained transformers (GPTs) and other artificial
intelligence (AI) large language models (LLMs) to improve health care has become …

The creation of synthetic data (SD)—'artificial'data generated specifically with the goal of
resembling 'real-world'data in order to replace or reduce the need for 'real'data—is booming …

The debate about fairness of artificial intelligence (AI) in health care is gaining momentum.
At present, the focus of the debate is on identifying unfair outcomes resulting from biased …

The ethical integration of Artificial Intelligence (AI) in healthcare necessitates addressing
fairness-a concept that is highly context-specific across medical fields. Extensive studies …

The escalating integration of machine learning in high-stakes fields such as healthcare
raises substantial concerns about model fairness. We propose an interpretable framework …

Generative artificial intelligence holds enormous potential to revolutionize decision-making
processes, from everyday to high-stake scenarios. However, as many decisions carry social …

健康公平是指所有人都能够享受公平的健康机会和资源分配, 不受个人特征或社会地位的影响,
而人工智能技术可以提高实现健康公平的可能性. 医疗人工智能(artificial intelligence, AI) …

Parity of esteem describes an aspiration to see mental health valued as much as physical.
Proponents point to poorer funding of mental health services, greater stigma and poorer …