
pmid: 31108243
The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker and drug development. In addition, cancer taxonomy proves the ground truth for future discoveries in the area of computational pathology and artificial intelligence. This editorial comment illustrates the relevance of cancer taxonomy in clinical and morphomolecular diagnosis, prognosis and therapeutic prediction; it shows its importance in identifying the epidemiology, aetiology and pathogenesis in oncology and explains its determinant role in computational tissue-based cancer diagnosis.
Artificial intelligence, Biopsy, 610, name=Cancer Research, Artificial Intelligence, Predictive Value of Tests, Cancer taxonomy, Neoplasms, Image Interpretation, Computer-Assisted, Pathology, Humans, Diagnosis, Computer-Assisted, Observer Variation, Microscopy, name=Oncology, Reproducibility of Results, Classification, name=SDG 3 - Good Health and Well-being, Pathologists, /dk/atira/pure/subjectarea/asjc/2700/2730, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, /dk/atira/pure/subjectarea/asjc/1300/1306
Artificial intelligence, Biopsy, 610, name=Cancer Research, Artificial Intelligence, Predictive Value of Tests, Cancer taxonomy, Neoplasms, Image Interpretation, Computer-Assisted, Pathology, Humans, Diagnosis, Computer-Assisted, Observer Variation, Microscopy, name=Oncology, Reproducibility of Results, Classification, name=SDG 3 - Good Health and Well-being, Pathologists, /dk/atira/pure/subjectarea/asjc/2700/2730, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, /dk/atira/pure/subjectarea/asjc/1300/1306
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
