… 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 …

… based on AI, every clinical application, be it hardware or software, requires a thorough
clinical validation in order to be adopted by the professional clinical community for use in patient …

… The purpose of this review is to discuss the pearls, pitfalls, and applications associated
with AI. The application of artificial intelligence (AI) in the field of medicine has been widely …

Objective To investigate the applications of artificial intelligence (AI) in diagnosis, treatment
and outcome predictionin urologic diseases and evaluate its advantages over traditional …

… In this paper, we discuss some clinical applications of AI in radiology. We cover both
interpretative and non-interpretative uses of AI, as well as barriers to adoption of AI. …

… Applications presents a comprehensive overview of the field, ranging from its history and …
foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is …

… 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 …

… images have been latecomers to the field of artificial intelligence (AI). 2 However, with the …
For the clinical application of AI, the sophisticated task of interpreting a radiologic image is …