Artificial intelligence in the diagnosis of pediatric allergic diseases.
Giuliana FerranteGian Luigi MarsegliaSalvatore FasolaGian Luigi MarsegliaStefania La GruttaPublished in: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology (2020)
Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, self-care, prevention and wellness, clinical decision support, care delivery, and chronic care management have been identified within the healthcare areas that could benefit from introducing AI. In pediatric allergy research, the recent developments in AI approach provided new perspectives for characterizing the heterogeneity of allergic diseases among patients. Moreover, the increasing use of electronic health records and personal healthcare records highlighted the relevance of AI in improving data quality and processing and setting-up advanced algorithms to interpret the data. This review aimed to summarize current knowledge about AI and discuss its impact on the diagnostic framework of pediatric allergic diseases such as eczema, food allergy, and respiratory allergy, along with the future opportunities that AI research can offer in this medical area.
Keyphrases
- artificial intelligence
- electronic health record
- big data
- healthcare
- clinical decision support
- machine learning
- deep learning
- atopic dermatitis
- palliative care
- adverse drug
- quality improvement
- endothelial cells
- public health
- pain management
- chronic pain
- single cell
- young adults
- current status
- childhood cancer
- infectious diseases
- pluripotent stem cells