… of AI and clinical care. Thus, this work presents AI clinical applications in a comprehensive
… In addition, the challenges and limitations hindering AI integration in the clinical setting are …

… First, we review clinical AI applications that provide decision support more broadly … clinical
domain. Second, we focus on studies that reported the evaluation of clinical AI applications in …

… Clinical applications of AI and Machine Learning (ML) in cancer diagnosis and treatment …
in clinics, by connecting biology with Artificial Intelligence and explain how AI-based assistance …

… This scoping review identified six main clinical applications of artificial intelligence research
in anesthesiology: (1) depth of anesthesia monitoring, (2) control of anesthesia, (3) event …

… Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, …
to help with clinical diagnosis, prognosis, and treatment, as well as clinical and technological …

… , and methods used in AI-based radiological applications in the medical field. Additionally,
we aim to review the clinical applications of AI in brain tumors. Artificial intelligence (AI) …

Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical
field, robotic surgery is the sector with some of the most innovative and impactful …

… For the purpose of clinical application, we can view AI as a spectrum of algorithms, the
utility of which are inextricably linked to the characteristics of the task under investigation. …

… Instead of focusing on the clinical application of AI, these frameworks are more concerned
with educating the technological creators of AI by providing instructions on encouraging …

… Then, we review the methods and applications of AI in cancer clinical research categorized
by the data types including radiographic imaging, cancer genome, medical records, drug …