This conference will focus on digital health technologies and their applications in healthcare, covering topics like big data analytics, medical image processing, and clinical decision support to improve health information management and security. IoT advancements offer new perspectives for personalized treatment, and electronic health records are essential for risk prediction and personalized medicine. The integration of medical robotics and intelligent systems is expected to enhance AI-assisted diagnostics. The conference will also explore wearable devices for health monitoring and precision medicine through data fusion technologies. Cloud computing and the medical Internet of Things will impact healthcare infrastructure, aiding in risk assessment and public health. By gathering global experts, the conference aims to drive innovation in intelligent medicine and expand the use of big data in health solutions and research.

International Conference on Big Data and Intelligent Medicine (BDIMed) is technically sponsored by IEEE. The proceedings of the conference will be submitted for inclusion in prestigious databases such as Scopus, Web of Science (WoS), Ei Compendex, DBLP, Google Scholar, and many others.