摘要
The recognition mechanism of artificial intelligence(AI)is an interesting topic in understanding AI neural networks and their application in therapeutics.A number of multilayered neural networks can recognize cancer through deep learning.It would be interesting to think about whether human insights and AI attention are associated with each other or should be translated,which is one of the main points in this editorial.The automatic detection of cancer with computeraided diagnosis is being applied in the clinic and should be improved with feature mapping in neural networks.The subtypes and stages of cancer,in terms of progression and metastasis,should be classified with AI for optimized therapeutics.The determination of training and test data during learning and selection of appropriate AI models will be essential for therapeutic applications.
基金
Supported by Japan Agency for Medical Research and Development(AMED),No.JP20ak0101093.