This work presents a computer-aided framework for allergy diagnosis which is capable of
handling comorbidities. The system was developed using datasets collected from allergy …

Abstract Purpose of Review Artificial intelligence (AI) has increasingly been used in
healthcare. Given the capacity of AI to handle large data and complex relationships between …

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 …

When we fall sick, we seek professional medical assistance if situations warrant. Medical
diagnostic processes are usually based on signs, symptoms and laboratory investigations …

Artificial intelligence (AI) and machine learning, a subset of AI, are increasingly used in
medicine. AI excels at performing well-defined tasks, such as image recognition; for …

Asthma is a chronic lung disorder of which the number of sufferers estimated to be between
1.4-27.1% of the population in different areas of the world. Results of various studies show …

Artificial intelligence (AI) has demonstrated significant promise for the present and future
diagnosis of diseases. At the moment, AI-powered diagnostic technologies can help …

Background An in vitro procedure based on a microarray containing many different allergen
components has recently been introduced for use in allergy diagnosis. Recombinant and …

In this paper, we present an asthma risk prediction tool based on machine learning (ML).
The entire tool is implemented on a smartphone as a mobile-health (m-health) application …

Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …