Digital technologies change the healthcare environment, with several studies suggesting
barriers and facilitators to using digital interventions by healthcare professionals (HPs). We …

The potential of artificial intelligence (AI) to reduce health care disparities and inequities is
recognized, but it can also exacerbate these issues if not implemented in an equitable …

Background Artificial intelligence (AI) has gained tremendous popularity recently, especially
the use of natural language processing (NLP). ChatGPT is a state-of-the-art chatbot capable …

Abstract Large Language Models (LLMs) such as General Pretrained Transformer (GPT)
and Bidirectional Encoder Representations from Transformers (BERT), which use …

Background Despite growing efforts to develop user-friendly artificial intelligence (AI)
applications for clinical care, their adoption remains limited because of the barriers at …

Artificial intelligence-based algorithms are being widely implemented in health care, even as
evidence is emerging of bias in their design, problems with implementation, and potential …

Background Recent advancements in artificial intelligence (AI) have sparked interest in its
integration into clinical medicine and education. This study evaluates the performance of …

Modern medicine, both in clinical practice and research, has become more and more based
on data, which is changing equally in type and quality with the advent and development of …

Machine Learning (ML), a branch of Artificial Intelligence, which is competing with human
experts in many specialized biomedical fields and will play an increasing role in precision …

Background: Regular physical activity is critical for health and disease prevention. Yet,
health care providers and patients face barriers to implement evidence-based lifestyle …