Digital pathology systems enabling quality patient care

10Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

Abstract

Pathology laboratories are undergoing digital transformations, adopting innovative technologies to enhance patient care. Digital pathology systems impact clinical, education, and research use cases where pathologists use digital technologies to perform tasks in lieu of using glass slides and a microscope. Pathology professional societies have established clinical validation guidelines, and the US Food and Drug Administration have also authorized digital pathology systems for primary diagnosis, including image analysis and machine learning systems. Whole slide images, or digital slides, can be viewed and navigated similar to glass slides on a microscope. These modern tools not only enable pathologists to practice their routine clinical activities, but can potentially enable digital computational discovery. Assimilation of whole slide images in pathology clinical workflow can further empower machine learning systems to support computer assisted diagnostics. The potential enrichment these systems can provide is unprecedented in the field of pathology. With appropriate integration, these clinical decision support systems will allow pathologists to increase the delivery of quality patient care. This review describes the digital pathology transformation process, applicable clinical use cases, incorporation of image analysis and machine learning systems in the clinical workflow, as well as future technologies that may further disrupt pathology modalities to deliver quality patient care.

References Powered by Scopus

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

1925Citations
N/AReaders
Get full text

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

1593Citations
N/AReaders
Get full text

Validating whole slide imaging for diagnostic purposes in Pathology: Guideline from the College of American pathologists Pathology and Laboratory Quality Center

475Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Understanding the financial aspects of digital pathology: A dynamic customizable return on investment calculator for informed decision-making

3Citations
N/AReaders
Get full text

Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems

2Citations
N/AReaders
Get full text

Advancements in pathology: Digital transformation, precision medicine, and beyond

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hanna, M. G., & Ardon, O. (2023, November 1). Digital pathology systems enabling quality patient care. Genes Chromosomes and Cancer. John Wiley and Sons Inc. https://doi.org/10.1002/gcc.23192

Readers over time

‘23‘24‘250481216

Readers' Seniority

Tooltip

Researcher 3

33%

Professor / Associate Prof. 2

22%

Lecturer / Post doc 2

22%

PhD / Post grad / Masters / Doc 2

22%

Readers' Discipline

Tooltip

Engineering 2

40%

Medicine and Dentistry 1

20%

Arts and Humanities 1

20%

Environmental Science 1

20%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0