… an AI-based MI risk prediction model through machine learning applied to MI big data. We …
the diagnosis and treatment process of patients at high risk for MI, reduce the occurrence of in-…

… However, the adoption of artificial intelligent (AI) approach is rapidly taking hold in … predict
the outcome of CVD. In this review, we outline various conventional risk scores and prediction …

… of the risk models widely used as prediction tools.[11–13] … , the use of algorithms based
on artificial intelligence (AI) is … a specific focus on the use of AI for risk prediction in CVD. …

… the current risk prediction models of PDAC and the importance of abdominal imaging for
predicting … of AI in utilizing image features of the pancreas to enhance risk prediction of PDAC. …

… This chapter describes the state-of-the-art in artificial intelligence and machine learning …
, the employed predictive modelling schemes and their discriminative or predictive capacity. …

… The purpose of this paper is to test the impact on risk management of artificial intelligence
techniques that will drive automated risk management for advice-robot solutions. Research …

… The ability to predict the risk of developing hypertension could contribute to disease … This
study used machine learning techniques to develop and validate a new risk prediction model …

… Therefore, the clinical community must not get mesmerised by the artificial intelligence
and machine learning revolution, and artificial intelligence and machine learning prediction …

… ’ to generate risk algorithms that can determine the effects of risk (… , predict suicide outbreaks
and identify at-risk individuals or … of artificial intelligence in optimizing suicide risk prediction …

… As machine learning-based artificial intelligence (AI) continues to revolutionize the way in …
performance and contribution to the improvement of risk prediction in cardiovascular disease. …