Medical diagnosis is necessary to identify a disease or injury through the signs and symptoms presented. Accurate diagnoses collect data from sources such as medical history and physical examination and tests like blood, CT or MRI scans, and biopsies, among others. Technological advances aid the medical industry and are transforming healthcare by reducing the complexity of diagnosis. Artificial intelligence (AI) supports specialists in the diagnosis of patients precisely with advanced methods that can recognize in-depth knowledge from multimedia information on the patient.

Diagnostic and management challenges remain an issue in healthcare and incorrect diagnoses must be reduced. Accurate diagnosis of chronic diseases like cancer and heart arrhythmia, critical findings in imaging, forecasting stroke, and identifying health-threatening cases are all critical issues that pose a high risk to human health and must be resolved. Artificial intelligence (AI) and multimedia technology can aid medical diagnosis by improving decision making, management, and automation. In order to efficiently reduce the difficulties faced by the healthcare industry and to provide quality care to the patients, AI-based advancements are in huge demand, including innovative algorithms, applications, analytics, machine learning, computer vision, and neural networks.

This Special Issue outlines the significance of improving accurate and timely medical diagnosis to increase survival and positive health outcomes. AI and multimedia technology play a key role in increasing the reliability of diagnosis with evolving tools, treatment management, and efficiency. Developing artificial intelligence techniques to diagnose numerous diseases, reduce human errors, improve clinical outcomes, and improve medical services is essential. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Artificial intelligence techniques in early warnings and alerts
• Artificial intelligence and multimedia systems in tracking and prediction
• Artificial intelligence and multimedia in data dashboards
• Artificial intelligence and multimedia applied to diagnosis and prognosis
• Artificial intelligence and multimedia for developing new treatments and cures
• Artificial intelligence and multimedia in social control
• Artificial intelligence and multimedia technology for combating misinformation
• Artificial intelligence and multimedia technology for supporting health workers
• Artificial intelligence and multimedia technology for community engagement platforms
• Artificial intelligence and multimedia technology to support knowledge management
• Artificial intelligence and multimedia technology for research and development support
• Artificial intelligence and multimedia technology for recovery planning work