Artificial Intelligence in Disease Diagnosis via Smartphone Applications

Abstract

The aim of artificial intelligence (AI) is to reduce the cognitive function of humans. AI has developed based on the data assist to the healthcare professions with the rapid progression in analytical techniques. AI can apply for both structured and unstructured healthcare data. It includes machine learning (ML) methods for structured data, such as the neural network, classical Support Vector Machine (SVM), deep learning, and unstructured data under natural language processing. AI is a computer-based technology used in hospitals to improve clinical work efficacy and to avoid medical errors. AI has been used in the development of mobile app applications. Mobile health (mHealth) applications result in the diagnosis of diseases, stored the information’s as case history, and provide alerts and medical recommendations according to the severity of the disease. Mobile apps with the most sophisticated algorithms help identify deadly diseases like cancer and give information about the side effects caused during treatment. Now the patient can know their health status anywhere by the help of AI on their smartphone. Applications used for every disease should be generic with slight modifications. Hence, it applies for multiple ailments. The app should be a handheld, portable, and wireless device so that the medical staff can easily monitor the patient data anywhere at any time. Even the patients can handle this Mobile-Health (m-Health) for the proper medical follow-up after treatment from the hospitals and instructions are available in these smartphone apps. ML technology can analyze genetic disorders by clustering the patient’s traits and give the probability of disease outcomes. In this study, we reveal that ML algorithms can collect and combine all information together, from the various resources. The concern is to exploit mobile apps in healthcare and medicine, although the research on its impact is less. However, many apps focus on hardly any diseases and a plethora of health conditions yet to analyze. We aim to enable everyone to download an app immediately in their smartphone and to diagnose the abnormalities at any time. In this systematic review, we identify and evaluate the commercially available apps for promoting early diagnosis of diseases.