“Feasibility test and application of AI in healthcare”—with special emphasis in clinical, pharmacovigilance, and regulatory practices

Abstract

Artificial intelligence (AI) is the use of the machine by the introduction of learning technologies to the machine with the help of data collected in the past to be used for solving problems that arise in the future. The present review article focuses on the role of AI in healthcare such as drug development, clinical trial, disease management, pharmacovigilance (PV), and regulatory practices. The AI helps in patient’s randomization and also increases the success rate of clinical trials. Diabetes retinopathy, diabetes, and cancer are the leading global health burdens in which AI has shown positive results in the detection, prevention, mitigation, and treatment of these diseases. PV data plays an important role in ensuring the safety of ongoing medical products. Once the AI implemented the PV data it is expected to be more accurate and quality reporting is provided. The role of AI is also expended in detecting adulteration in herbal drugs. Various regulatory frameworks are laid down by the US FDA, MHRA, TGA, and others for the safe and efficient use of AI in healthcare. The present article highlights the role of AI in promoting healthcare however the challenges of AI while practice to be addressed from time to time.