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Clinical trials are conducted in order to find novel therapies, interventions, or tests to prevent, detect, treat, or manage a variety of illnesses or medical problems. AI is primarily concerned with robots aiding surgeons. It aids in the reduction of medical errors, digital acquisition, algorithm correction, scientific literature reading, and electronic record keeping. AI plays a vital role in clinical trials, By employing machines to handle enormous and massive data sets. Clinical trials might benefit from machine learning to increase their effectiveness, generalizability, patient-centeredness, and efficiency. Machine learning may help with preclinical drug development, pre-trial planning, data management and analysis in clinical trials. In this review we discuss the role of artificial intelligence and machine learning in various domains of clinical trials such as patient selection, study design, Pharmacovigilance, clinical monitoring, clinical data management, safety signals, data analysis etc. This article gives the overview of remarkable role of artificial intelligence and machine learning in clinical trials.

KEYWORDS: Clinical trials, Artificial intelligence, Machine learning, clinical study, data, patient.