Artificial intelligence in pathology and laboratory medicine
There will be increased application of AI algorithms in the digital diagnostic workflow according to Stathonikos et al.3 The increased adoption of digital pathology allows the use of AI algorithms to facilitate automatic triaging and quality control along with assisted reading of whole slide images....
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Veröffentlicht in: | Journal of clinical pathology 2021-07, Vol.74 (7), p.407-408 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | There will be increased application of AI algorithms in the digital diagnostic workflow according to Stathonikos et al.3 The increased adoption of digital pathology allows the use of AI algorithms to facilitate automatic triaging and quality control along with assisted reading of whole slide images. Deep-learning platforms for H&E analysis of slide are more sensitive to variations that escape the human eye and can offer improved fine tuning of disease prediction and prognostication and advancement of the goals of personalised and precision medicine. Machine learning can be applied to diverse chemical pathology laboratory processes including clinical decision support, detection of errors, analysis of gels and discovery of biomarkers. |
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ISSN: | 0021-9746 1472-4146 |
DOI: | 10.1136/jclinpath-2021-207682 |