Artificial Intelligence and Machine Learning in Medical Science

accuracy accurate AI-based alignment analysis applications approaches artificial intelligence artificial neural networks automated backpropagation bioinformatics biological cancer characteristics classification clinical decision support clinicians cognitive complex components convolutional neural networks created crucial databases dataset decision trees decision-making deep learning detection diagnosis disease doctors drug development drug release effective electronic health records employed engineering evaluation examples expert system extraction F1 score Figure forecast formulation function gene genetic genome glaucoma Google healthcare human identify implementation improve input integration interactions issues knowledge layers learning algorithms learning models learning techniques machine learning Med-PaLM medical imaging medicine methods molecular natural language processing neural networks ANNs neurons optimization output parameters patient performance pharmaceutical potential prediction Random Forest repurposing rule sequence statistical strategy supervised learning symptoms target testing treatment unsupervised utilised values