This study examines numerous applications in the medical sciences of machine learning, a branch of artificial intelligence, and finds support vector algorithms and neural networks may be even more effective than the methods now employed in medicine.
The science of artificial intelligence, and specifically machine learning, has developed significantly in recent years. Similarly to how technology is always developing, healthcare practises are also changing. Machine learning technology is being gradually merged with medical research to improve overall outcomes and make patient care more accessible. Any technology used in healthcare that helps to decrease effort and produces outcomes quickly and efficiently should be seen as beneficial. But there are many things to take into account in this area. Healthcare appears to benefit greatly from the study of machine learning, a branch of artificial intelligence. If applied wisely, support vector algorithms and neural networks may be even more effective than the methods now employed in medicine. In order to make things simpler and produce better outcomes, this study examines numerous applications in the medical sciences.