Artificial intelligence (AI) has the potential to make substantial progress toward the goal of
making healthcare more personalized, predictive, preventative, and interactive. We believe …

Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …

Background Artificial intelligence (AI) for healthcare presents potential solutions to some of
the challenges faced by health systems around the world. However, it is well established in …

In low-and middle-income countries (LMICs), AI has been promoted as a potential means of
strengthening healthcare systems by a growing number of publications. We aimed to …

Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …

Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it
will improve health care and reduce costs. Has AI been able to fulfill that promise? We …

Background Significant efforts have been made to develop artificial intelligence (AI)
solutions for health care improvement. Despite the enthusiasm, health care professionals …

Background Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are
promising technologies to prevent the concerningly rapid spread of coronavirus disease …

Field workers, like farmers and radiologists, play a crucial role in dataset collection for AI
models in low-resource settings. However, we know little about how field workers' expertise …

Background Research on the integration of artificial intelligence (AI) into community-based
primary health care (CBPHC) has highlighted several advantages and disadvantages in …