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Artificial Intelligence in Histopathology

Prathibha Prasad, Al Moutassem Billah Khair, Musab Hamed Saeed, Naresh Shetty

2024Journal of Pharmacy And Bioallied Sciences10 citationsDOIOpen Access PDF

Abstract

Artificial intelligence will be revolutionizing the healthcare in near future and is already being integrated in several areas. The utilization of artificial intelligence algorithms to extract quantitative information from full-slide histopathology images has been demonstrated in digital pathology. Artificial intelligence (AI) is anticipated to reduce the workload of pathologists, enhance the impartiality and uniformity of pathology reports, and impact treatment choices through the identification of concealed information within easily accessible data. This review sheds light on how deep learning and machine learning can enhance the imaging of the slides in digital pathology and help physicians make the diagnosis faster.

Topics & Concepts

WorkloadDigital pathologyArtificial intelligenceComputer scienceHistopathologyImpartialityIdentification (biology)PathologyMedical physicsData scienceMedicineBiologyOperating systemPhilosophyBotanyEpistemologyAI in cancer detectionRadiomics and Machine Learning in Medical ImagingMedical Imaging and Analysis
Artificial Intelligence in Histopathology | Litcius