The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …

The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such
algorithms may be shaped by various factors such as social determinants of health that can …

The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI)
chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is …

In oncology, the patient state is characterized by a whole spectrum of modalities, ranging
from radiology, histology, and genomics to electronic health records. Current artificial …

Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative
information from digital histopathology images. AI is expected to reduce workload for human …

Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

Despite a growing body of evidence, the distinct contributions of biological sex and the
sociocultural dimension of gender to the manifestations and outcomes of ischaemic heart …

Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …

Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …

Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several
advantages for organizations in terms off added business value. Over the past few years …