Precision Medicine in the Context of Artificial Intelligence

Abstract

Similar to all fields of study, growth occurs with breakthrough or developmental research spanning to the progress and intimate utility of technology. Dilemmas of various sectors have been favorably resolved by adopting artificial intelligence (AI) algorithms. Applying Precision Medicine profoundly depends on AI algorithms to work Precision Medicine queries like; predicting or detecting, diagnosing the disease properly, and optimizing therapy, hence, the selection of the algorithm is affected by its capacity and practicality. Nevertheless, it is yet in its initial step and fronts some hurdles crucial to the flourishing deployment of precision medicine like research, adoption values, and authority controls. Notwithstanding, Precision Medicine also pretends some difficulties like; modifying the health discipline and profession to the fact that automata and algorithms could displace most of the healthcare professional tasks they act now. Ultimately, effective employment of precision medicine would rescue countless lives and improve the health profession. This review examines the present state of AI applications in precision medicine and future opportunities. It discusses major AI systems like IBM Watson, examining moral accountability and legal obligations when applying it in clinical decision-making, advantages and boundaries of employing Watson and different AI clinical decision support techniques, and considerations before consulting AI systems.

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