… has accelerated artificial intelligence-enabled histological scores (… investigating artificial
intelligence models in IBD histology. … Artificial intelligence enabled histological prediction of …

… Few models integrated histopathology data with other … , the amalgamation of uni-modal
predictions from separate models 17 , … but only histopathology data was used for prediction 22 . …

… Histological remission is evolving as an important treatment … histological index, aligned to
endoscopy, correlated with clinical outcomes, and suited to apply to an artificial intelligence (AI…

… Artificial intelligence may be applied in either histological or clinical scoring systems. AI
assessment of histological … AI software may identify histological features of NAFLD with high …

… AI commonly relies on a branch of data science known as machine learning (ML) in order
to make predictions. ML uses advanced statistical methodologies (such as regression …

… Artificial intelligence (AI) has shown the potential to determine a wide range of … on histologic
image analysis. Here, we assessed the status of mutation prediction AI models on histologic …

… Herein, we summarise the state of the art in AI in hepatology with a particular focus on
histopathology and radiology data. We present a roadmap for the further development of novel …

… ” prediction or “direct” classification does not take the detour via quantitatively extracting
morphological features, but takes the histological images as input to directly predict molecular or …

… ) for predicting TMB-H CRC was 0.910. We developed a CNN-based TMB-H prediction model.
… alterations are expressed in digital images and can be learned by artificial intelligence. …

… The aim of the study is to assess AI application in prostate cancer (PCa) histology. We
carried out a systematic literature search in 3 databases. Primary outcome was AI accuracy in …