TY - BOOK ID - 135692385 TI - Applications of Artificial Intelligence in Medicine Practice AU - Kang, Kyungtae AU - Son, Junggab AU - Suh, Hyo-Joong PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - computational intelligence KW - medical assistance KW - instance-based learning KW - healthcare KW - clinical decision support systems KW - deep neural networks KW - medical imaging KW - backdoor attacks KW - security and privacy KW - COVID-19 KW - gastric cancer KW - endoscopy KW - deep learning KW - convolutional neural network KW - brain KW - pituitary adenoma KW - dysembryoplastic neuroepithelial tumor KW - DNET KW - ganglioglioma KW - digital pathology KW - computer vision KW - machine learning KW - CNN KW - ATLAS KW - HarDNet KW - Swin transformer KW - segmentation KW - U-Net KW - cerebral infarction KW - CycleGAN KW - advanced statistics KW - schizophrenia KW - aggression KW - forensic psychiatry KW - medical image segmentation KW - CT image segmentation KW - kernel density KW - semi-automated labeling tool KW - Bayesian learning KW - neuroimaging KW - feature selection KW - kernel formulation KW - mental disorders KW - MRI KW - visual acuity KW - fundus images KW - ophthalmology KW - SVM KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:135692385 AB - This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted. ER -