ABSTRACT
Artificial intelligence (AI) is widely used with software algorithms and hardware implementation in various areas. One of the important applications is in the biomedical domain. AI plays a vital role in biomedical applications for disease diagnostics. Also, it is overcoming the challenges present in the biomedical field with data acquisition, machine learning (ML), and computer infrastructure. AI gives the early prediction of any disease and is useful in solving complex biomedical problems. In the present work, various methods and algorithms used in the biomedical field have been discussed. Additionally, some case studies are discussed. The AI algorithms give better results to solve the complex biomedical problem. The system’s effectiveness is limited due to the human decision and inability to explain properly, and AI enables human users to understand complex biomedical problems. The study of different models of AI was carried out in the biomedical field to select a better model. The different AI model gives a better early prediction of complex problem present in the biomedical field. Also, this work summarizes the recent development in the biomedical field with the help of AI, ML, and deep learning models.
