Role of Artificial Intelligence (AI) in Healthcare: Covid-19, Cancer and Accident Prevention

Artificial intelligence (AI) is highly employed in the medical industry since it has the potential to enhance patient outcomes, boost productivity, and save costs. ML is a division of AI technology that aspires to enhance the accuracy and precision of doctors' work. With machine learning, patterns are automatically detected and data will be analyzed. In the field of healthcare, machine learning techniques have advanced. Through the analysis of medical data, the way healthcare is delivered has changed as an outcome concerning AI and machine learning. Consequently, the use of machine learning in the healthcare industry is discussed in this article, In this article, we will be discussing how AI&ML is used in healthcare issues like covid-19, cancer, and accidents. This study reviews the existing research works that use AI and ML to analyze CoV2. ML techniques are frequently used to create cancer-predicting models using related gene expression and mutation data. Another promising study area in road safety is the prediction of crash injury severity. Various statistical methods were used to model collision injury severity. Machine learning-based techniques have gained popularity recently due to their strong prediction abilities. And a technology called the drowsiness detection and alert system using machine learning was created to send warnings to avoid those traffic incidents.