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'Self-taught' AI tool helps to diagnose and predict severity of common lung cancer

A computer program based on data from nearly a half-million tissue images and powered by artificial intelligence can accurately diagnose cases of adenocarcinoma, the most common form of lung cancer, a new study shows. ....

United States , United Kingdom , Bojing Liu , Xinyu Yang , Navneet Natula , Nicolas Coudray , Luis Chiriboga , Aristotelis Tsirigos , Adalberto Claudio Quiros , Andre Moreira , Anna Yeaton , Afreen Karimkhan , Hortense Le , David Moore , Perlmutter Cancer Center , Nature Communications , Grossman School Of Medicine , European Union Horizon , University College London , National Institutes Of Health , Langone Health Perlmutter Cancer Center , United Kingdom Research Council , University Of Glasgow , United States National Cancer Institute , Cancer Genome Atlas , Perlmutter Cancer ,

Machine learning offers means to raise accuracy of cancer analysis

AI collaborators in Britain and the UK have developed a computer system that they say can spot cancer signs in samples with outstanding levels of accuracy. ....

Glasgow City , United Kingdom , New York University , New York , United States , Aristotelis Tsirigos , Adalberto Claudio Quiros , Nicolas Coudray , Uniglasgow Chris James , Sciences Research Council , School Of Computing Science , Glasgow School Of Cancer Sciences , Nature Communications , National Institutes Of Health , York University , York University Grossman School Of Medicine , University College London , Perlmutter Cancer Centre , University Of Glasgow School Cancer Sciences , Karolinska Institute , Histomorphological Phenotype Learning , John Le Quesne , Cancer Sciences , United States National Cancer Institute , Cancer Genome Atlas , Computing Science ,