With the development of artificial intelligence (AI) technology, Wise Information Technology of Med (WITMED) has become a new model of healthcare. Patient information systems, including information on patient visits and electronic health records, are the foundation of WITMED. In recent years, cutting-edge technologies, such as AI, deep learning, optimization algorithms, and machine learning, have been gradually applied to research methods and provide great progress in data mining in clinical medicine, especially in the field of age-related diseases and conditions.

Deep learning could automatically extract disease causes from massive high-dimensional clinical data and build high-precision decision analysis models, which could combine feature extraction and decision analysis processes to minimize the subjectivity of feature selection, shorten the pre-analytical processing time, and reduce the labor intensity of physicians in clinical and medical research. Optimization algorithms are important in deep learning by finding the optimized value of parameters to improve accuracy. Due to the complexity, specificity, and individuality of the data, there are several challenges that remain in data mining and processing of age-related diseases and conditions. To fully utilize new technologies such as deep learning and optimization algorithms, there are still unmet requirements for researchers and clinical investigators as this area of research is still in its infancy.

In this Special Issue, we welcome both original research and review articles investigating database-based deep learning and optimization algorithms for age-related diseases and conditions.

Potential topics include but are not limited to the following:

• Classification of methods and system implementation of age-related disease classification methods based on deep learning
• Application of optimization algorithms in the field of age-related diseases and conditions
• Establishment and improvement of clinical databases
• Clinical data quality management in the field of age-related diseases and conditions
• Prevention, diagnosis, and treatment of age-related diseases and conditions
• Construction and application of medical and nursing associated models for age-related diseases and conditions
• Applications of AI in the field of age-related diseases and conditions
• The role of clinical databases in disease prevention and treatment
• Methods of application of the Internet of Things in the field of age-related diseases and conditions
• Progress of research on age-related diseases and conditions in the field of WITMED