About this Research Topic
Within this context, the objective of this themed article collection aims to cover the following subjects particularly focusing on the pediatrics discipline.
• Big data analytics in pediatrics,
• Disease databases in pediatrics (e.g., rare diseases, disorders),
• Intelligent applications using the pediatrics disease databases,
• Intelligent methods processing every type of pediatric data,
• Datamining in pediatrics,
• Precision medicine/Personalized medicine in pediatrics using AI/ML,
• Diagnostics in pediatrics using AI/ML,
• Prognosis in pediatrics using AI/ML,
• Deep learning (DL) and Reinforcement Learning (RL) in pediatrics,
• Development of new treatment methods in pediatrics using AI/ML,
• Reduction of medical errors in pediatrics using AI/ML,
• Intelligent machines in pediatrics,
• Telemedicine in pediatrics using AI/ML,
• Discovery of new drugs in pediatrics using AI/ML,
• Use of cloud computing to process pediatric data,
• Ethics and regulatory framework of using AI/ML in pediatrics,
• Review papers discussing the use of AI/ML in pediatrics.
In this Research Topic, we are looking for original articles, opinion pieces, and reviews that focus on the above subjects. Manuscripts that are purely methodological, statistical, or conceptual are not eligible. Manuscripts should be accessible to a broad readership of clinicians and avoid a too-technical writing style for our audience.
Keywords: AI-guided diagnosis and treatment, AI in precision medicine, AI for end-to-end drug discovery and development, AI in telemedicine, Machine learning, Big data analytics, Natural Language Processing, Ethical and legal considerations
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.