JoWUA

Abstract

The field of computer technology has seen remarkable advancements, which has led to a surge in interest in the possible applications of "Artificial Intelligence," or AI, in the fields of medicine and biological research. The field of artificial intelligence known as "Artificial Neural Networks" (ANNs) is one of the most promising and intensively researched subfields in AI. ANNs are, in their most fundamental form, the mathematical algorithms that are generated by computers. ANNs are taught using standard data and are able to comprehend the information that is imparted by the data. ANNs that have been trained come extremely close, on a basic level, to replicating the functioning of small biological neural clusters. They are the digital model of the biological brain, and they have the ability to discover complicated nonlinear correlations between dependent and independent variables in a data set, something that the human brain may be unable to do. These days, ANNs are employed extensively for medical applications in a variety of subspecialties within the field of medicine, particularly cardiology. Diagnostics, electronic signal analysis, medical image analysis, and radiology are just few of the fields that have found considerable use for ANNs. Many researchers have made use of ANNs for modelling purposes in the field of medicine and clinical research. Both pharmacoepidemiology and medical data mining are experiencing increasingly more applications of artificial neural networks (ANNs). The author of this paper provides an overview of the many different applications of ANNs in the field of medical science.