… Artificial intelligence (AI) is the simulation of intelligence in a non-living agent. In the context
of clinical diagnostics, … Often, these clinical applications adopt AI frameworks to enable the …

… artificial neural networks (ANN). In this article, we will explore these and other current processes
that have come to be referred to as “artificial intelligence.… times and diagnostic accuracy …

… of advanced AI in disease diagnosis have been raised by … between advanced AI and human
clinicians to provide an up-to-date … and clinicians with respect to disease diagnosis and thus …

… clinical skills required for clinical diagnosis, such as history taking and physical examination,
accuracy of EHR data, uncertainty in accuracy of a final diagnosis, … to improve diagnosis in …

… intelligence tools. In this article, we review some of the key methodologic points that should
… regard to clinical evaluation of artificial intelligence tools for use in medical diagnosis and …

… human intelligence behavior, design drug formulations, assist in clinical diagnosis and …
The use of logistic data mining and DL in clinical diagnostics empowers the ML to think and …

… computer-aided diagnosis, investigators have created … to clinically useful programs have
not been fulfilled, but many of the problems impeding creation of effective artificial intelligence …

… The as-designed model represents a promising asset for clinical pathologists, helping them
diagnose acute leukemia during a blood smear review. In comparison, Didi and colleagues […

… assist with clinical diagnosis is very different from one that is intended to assist with therapy
planning. A CDSS for diagnosis can generally be built on linkages between clinical data and …

… AI can effectively enhance the diagnostic … and machine learning. We also discuss the
most recent breakthroughs in AI technologies and their clinical application regarding diagnosis, …