Year: 2025
Type: article
Abstract: Digital Pathology (DP) is the capture of high-quality images of glass slides as a whole slide imaging (WSI) with the help of scanners followed by analysis and interpretation of images by Pathologists utilizing image management software (IMS) with or without the help of artificial intelligence (AI) tools and algorithms. These images are digitally stored (usually in the cloud) and available instantaneously, archived for short term and long-term storage. Based on organizational goals; the DP has been utilized in primary diagnosis, frozen sections interpretation, second opinion/consultation, workflow efficiency, teaching, education, research and data analytics. Like any other new healthcare technology; it has some limitations and challenges. In this article, we will review how pathology groups can adopt DP in routine clinical practice, what are barriers that can be avoided and factors that will help understand the digital roadmap readiness making its adoption seamless by Pathologists.
Source: INNOVAPATH
DOI: 10.63501/h0xm0m18
Authors: Aamir Ehsan, Anna Tyler, Curtis Loss, Atiq Malik
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410253232