Advanced AI systems are rapidly making their way into medical research and practice, and,
arguably, it is only a matter of time before they will surpass human practitioners in terms of …

Background Artificial intelligence (AI)-driven chatbots are increasingly being used in health
care, but most chatbots are designed for a specific population and evaluated in controlled …

Background Artificial intelligence (AI) can transform health care processes with its increasing
ability to translate complex structured and unstructured data into actionable clinical …

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

Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …

Background As the adoption of artificial intelligence (AI) in health care increases, it will
become increasingly crucial to involve health care professionals (HCPs) in developing …

Decades of experimental and clinical research have contributed to unraveling many
mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still …

Global eye health is defined as the degree to which vision, ocular health, and function are
maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye …

Food safety continues to threaten public health. Machine learning holds potential in
leveraging large, emerging data sets to improve the safety of the food supply and mitigate …

Abstract Machine learning algorithms are being used to screen and diagnose disease,
prognosticate and predict therapeutic responses. Hundreds of new algorithms are being …