Artificial intelligence in healthcare: a review on predicting clinical needs

Artificial Intelligence is revolutionizing the world. In the last decades, it is applied in almost all fields especially in medical prediction. Researchers in artificial intelligence have exploited predictive approaches in the medical sector for its vital importance in the process of decision making. Medical prediction aims to estimate the probability of developing a disease, to predict survivability and the spread of a disease in an area. Prediction is at the core of modern evidence-based medicine, and healthcare is one of the largest and most rapidly growing segments of AI. Application of technologies such as genomics, biotechnology, wearable sensors, and AI allows to: (1) increase availability of healthcare data and rapid progress of analytics techniques and make the foundation of precision medicine; (2) progress in detecting pathologies and avoid subjecting patients to intrusive examinations; (3) make an adapted diagnosis and therapeutic strategy to the patient's need, his environment and his way of life. In this research, an overview of applied methods on the management of diseases is presented. The most used methods are Artificial Intelligence methods such as machine learning and deep learning techniques which have improved diagnosis and prognosis efficiency.