The human-in-the-loop: an evaluation of pathologists' interaction with artificial intelligence in clinical practice.
Journal:
Histopathology
Published Date:
Aug 1, 2021
Abstract
AIMS: One of the major drivers of the adoption of digital pathology in clinical practice is the possibility of introducing digital image analysis (DIA) to assist with diagnostic tasks. This offers potential increases in accuracy, reproducibility, and efficiency. Whereas stand-alone DIA has great potential benefit for research, little is known about the effect of DIA assistance in clinical use. The aim of this study was to investigate the clinical use characteristics of a DIA application for Ki67 proliferation assessment. Specifically, the human-in-the-loop interplay between DIA and pathologists was studied.
Authors
Keywords
Artificial Intelligence
Biomarkers, Tumor
Breast Neoplasms
Calibration
Data Accuracy
Diagnosis, Computer-Assisted
Humans
Image Processing, Computer-Assisted
Immunohistochemistry
Ki-67 Antigen
Observer Variation
Pathologists
Pathology, Clinical
Reproducibility of Results
Research Design
Retrospective Studies