Artificial intelligence and digital health twin applications in healthcare : a systematic review

Abstract

Many researchers have acknowledged artificial intelligence (AI) and digital twins (DT) as crucial technologies for the upcoming decade. They can optimise and integrate modern technologies like analytics, artificial intelligence and the Internet of Things (IoT). AI could revolutionize healthcare by improving efficiency, accuracy, and patient outcomes. Some of the notable healthcare applications of AI and DT in the domains of diagnostic imaging, such as radiology and pathology, could help radiologists and pathologists understand X-rays, MRIs, and CT images. AI could improve picture analysis in these sectors by discovering complicated patterns and abnormalities that challenge human visual perception. AI analyses large databases to speed up drug discovery. This technique finds new medication candidates, predicts their efficacy, and optimises their chemical structures . Personalised medicine uses AI to analyse patient data, including genetic information, to create treatment plans that match an individual’s qualities. This optimises medicine selection and dosing. Artificial intelligence– powered virtual health assistants may answer questions and book appointments. This technology could boost patient engagement and administrative efficiency