A review of recent developments in artificial intelligence and deep learning in medical education

Artificial intelligence and deep learning in medical education in medical education as two key areas in computer science and electrical engineering have made significant progress in recent decades. This article provides a comprehensive review of recent developments in these two areas and examines their impact on various industries and research. In the definition of basic concepts section, the concepts of artificial intelligence and deep learning in medical education in medical education are defined and the main theories and foundations of these two fields are discussed. Then, recent developments in artificial intelligence and deep learning in medical education in medical education are discussed in two separate sections. In each section, new techniques, architectures and algorithms are introduced and recent researches and their applications are analyzed. Then, the applications of these developments in various industries such as medicine, automotive, finance, advertising and many others are explored. Examples of projects and products based on artificial intelligence and deep learning in medical education in medical education are presented to show how these technologies help improve performance and efficiency in these industries. In the challenges and open issues section, the challenges and issues that remain in the path of recent developments in artificial intelligence and deep learning in medical education are discussed. Also, suggestions for future research and solving these challenges are presented. Finally, this paper points out the importance of recent advances in artificial intelligence and deep learning in medical education for the development of future industries and research, and highlights their positive impacts on societies and economies.

کلیدواژه ها:

Artificial intelligence ، Deep learning in medical education ، Deep neural networks ، Machine learning algorithms ، Applications of artificial intelligence