Application of Artificial Intelligence in Medical Assisted Decision System

Dear Colleagues,

The application of artificial intelligence (AI) in many medical fields and specialities is starting to be introduced. Artificial intelligence, machine learning, natural language processing and deep learning enable medical professionals to quickly and accurately identify intelligent medical needs and solutions, and quickly make intelligent medical or business decisions based on data models. AI can analyze a large amount of data stored by smart medical applications in the form of images, clinical research trials, and medical claims. With the help of in-depth learning, data are analyzed and explained with the help of computer extended knowledge. The impact of these tools is enormous, and the use of AI is assisting many stakeholders in the field of intelligent medicine.

1. Clinicians, researchers, or data management teams participating in clinical trials can speed up the process of searching for the confirmation of medical code, which is crucial for the development and completion of clinical research.
2. Patients can personalize their health plans by connecting virtual agents with members interested in customized health solutions through conversational AI.
3. Clinicians can predict or diagnose diseases faster by combining medical data to improve and customize patient care.

This Special Issue on the “Application of Artificial Intelligence in Medical Assisted Decision System” aims to introduce the application of AI technology in the medical field. The adoption of AI in smart medicine still faces challenges. Topics include but are not limited to:

• Intelligent recognition and analysis of medical images;
• Intelligent auxiliary diagnosis of disease;
• Medical robot;
• Research and development of drug intelligence;
• Intelligent health management;
• Unstructured medical data analysis;
• Intelligent discovery and development of genetic medicine.

Prof. Dr. Lei Wang
Guest Editor

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