… Objective: The objective of this systematic review was (a) to explore the current clinical
applications of AI/ML (Artificial intelligence and Machine learning) techniques in diagnosis and …

… in AD clinical trials. In this review, we introduce the current status of AD clinical trials and the
topic of machine learning. … on the potential applications of AI in the steps of AD clinical trials, …

… of AI applications in stroke, exploring their potential to reform stroke care through clinical
decision … which must be addressed to facilitate their acceptance and adoption for clinical use. …

… 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 …

… We also defined a taxonomy for the use of Artificial Intelligence (AI) techniques on healthcare
data. In the light of these taxonomies, we report on the most relevant papers from the …

Lung cancer is the second most diagnosed malignancy according to the American Cancer
Society, accounting for 228,820 new cases and 135,720 deaths in the United States in 2020. …

… machine learning are on the rise in clinical research and provide highly promising applications
… As innovative and emerging data analyses tools, clinical applications should be prepared …

… Since earlier years, clinical DSSs have been often conceived as applications of Artificial
Intelligence (AI) methodologies to medical domains [3]. Examples range from the so-called “…

… more and more time, resources and expertise, which conflicts with the clinical applications
of these tools. Artificial intelligence (AI) is an attractive approach to overcome most of these …

… Recent advances in artificial intelligence present an exciting opportunity to improve … to
effective clinical deployment presents a new frontier for clinical and machine learning research. …