CURRENT TRENDS ON THE APPLICATION OF AI-MACHINE LEARNING MODEL IN CLINICAL PRACTICE
Abstract
With the advancement of artificial intelligence (AI) and the machine learning techniques, researchers worldwide strive to apply towards machine learning in the clinical practices. One of the key aims of the clinical practices sector has been achieving the early detection or prediction of disease to provide timely, preventive interventions of disease. This study is focused on the current trends in the application of machine learning in the clinical practices. The study adopted a qualitative design. The study relied on secondary data using a content analytic approach. It was revealed that the application of machine learning models in the clinical practice and utilisation of AI-Machine Learning has improved in clinical practice. However, it is still at the gestation stage in developing countries especially in Africa particularly in Nigeria. The paper equally concluded that AI-Machine Learning has the potential to revolutionize clinical practice across the worldwide. Machine learning outperforms humans in terms of speed when diagnosing illness diagnosis. In addition, the paper concludes that Machine Learning models in clinical practice cannot exhibit empathy, unlike real-life medical personnel who can guide a patient through a challenging treatment process, hold their hand when they get life-altering diagnostic news, occupy a young patient who is afraid of getting blood, or really care about their patients.
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