… terms, including “artificial intelligence,” “machine learning,” and “… likely to use “artificial
intelligence” or “machine learning” in … terms related to clinical implementation, including “clinical,” “…

Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial
intelligence (AI) has transformed various fields, including healthcare, with the potential to …

… pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial intelligence
has … One of the most important benefits of AI in clinical practice is its ability to investigate …

… interact with and manage artificially intelligent machines” [16]. … allow a particular practice
when the practice poses a hazard. … inequalities, then such practices should be strictly regulated …

… of AI for MS clinical practice. First, we present a brief introduction on the topic of AI. Then,
we examine ongoing research on the use of AI techniques in MS for clinical and (briefly) …

… on the benefits, future opportunities and risks of established artificial intelligence applications
in clinical practice on physicians, healthcare institutions, medical education, and bioethics. …

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

… find artificial intelligence (AI) broadly benefitting modern society—forecasting weather,
recognizing faces, detecting fraud, and deciphering genomics. AI's future role in medical practice …

… assessments, namely whole slide imaging and artificial intelligence (AI)–based solutions, …
this technology may face if adopted in clinical settings. The traditional role of pathologists in …

… real world deployments of machine learning algorithms in clinical practice are rare. Despite
… AI systems have the potential to reduce unwarranted variation in clinical practice, improve …