Antibiotics have revolutionized medicine, saving countless lives since their discovery in the
early 20th century. However, the origin of antibiotics is now overshadowed by the alarming …

The lack of transparency is one of the artificial intelligence (AI)'s fundamental challenges, but
the concept of transparency might be even more opaque than AI itself. Researchers in …

Large language models (LLMs) have demonstrated impressive capabilities in natural
language understanding and generation, but the quality bar for medical and clinical …

Infertility is a global health issue affecting women and men of reproductive age with
increasing incidence worldwide, in part due to greater awareness and better diagnosis …

Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …

Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …

PURPOSE Synthetic data are artificial data generated without including any real patient
information by an algorithm trained to learn the characteristics of a real source data set and …

As AI technology continues to advance, it has led to the development of various systems that
help with student learning. This study sought to investigate the use of AI applications in …

AI has the potential to revolutionize mental health services by providing personalized
support and improving accessibility. However, it is crucial to address ethical concerns to …

The healthcare field has long been promised a number of exciting and powerful applications
of Artificial Intelligence (AI) to improve the quality and delivery of health care services. AI …