The use of artificial intelligence (AI) is deeply embedded in all aspects of our daily lives, promoting efficiency and safety in routine tasks at home and work. Likewise, dentistry is rapidly exploring new uses of AI for image analysis, electronic he...
BACKGROUND: Healthcare providers have to make ethically complex clinical decisions which may be a source of stress. Researchers have recently introduced Artificial Intelligence (AI)-based applications to assist in clinical ethical decision-making. Ho...
ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In clinical decision support, ChatGPT has been used to generate accurate differential diagnosis lists, support clinical decision-making, optimi...
Blowout fractures are a common type of facial injury that requires accurate measurement of the fracture area for proper treatment planning. This systematic review aimed to summarize and evaluate the current methods for measuring blowout fracture area...
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models ...
Despite advances in prevention, detection, and treatment, cardiovascular disease is a leading cause of mortality and represents a major health problem worldwide. Artificial intelligence and machine learning have brought new insights to the management...
International journal of medical informatics
May 21, 2023
BACKGROUND: The medical industry is one of the key industries for the application of artificial intelligence (AI). Although it is believed that the combination of CDSS and physicians could improve the medical service, there are still many concerns ab...
Artificial intelligence has transformed many aspects of health care from image analysis to clinical decision making. Its evolution in medicine has been gradual and deliberate with several unanswered questions regarding efficiency, privacy, and bias. ...
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