AIMC Topic: Pathology, Clinical
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Improving Ki67 assessment concordance by the use of an artificial intelligence-empowered microscope: a multi-institutional ring study.
Histopathology
Jun 24, 2021
AIMS: The nuclear proliferation biomarker Ki67 plays potential prognostic and predictive roles in breast cancer treatment. However, the lack of interpathologist consistency in Ki67 assessment limits the clinical use of Ki67. The aim of this article w...
Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate cancer.
Journal of clinical pathology
Jun 11, 2021
Clinical workflows in oncology depend on predictive and prognostic biomarkers. However, the growing number of complex biomarkers contributes to costly and delayed decision-making in routine oncology care and treatment. As cancer is expected to rank a...
The human-in-the-loop: an evaluation of pathologists' interaction with artificial intelligence in clinical practice.
Histopathology
May 30, 2021
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...
Biomarkers, Tumor
Diagnosis, Computer-Assisted
Image Processing, Computer-Assisted
Retrospective Studies
Reproducibility of Results
Breast Neoplasms
Immunohistochemistry
Calibration
Ki-67 Antigen
Pathologists
Data Accuracy
Observer Variation
Humans
Artificial Intelligence
Research Design
Pathology, Clinical
Artificial intelligence in pathology and laboratory medicine.
Journal of clinical pathology
May 24, 2021
Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
May 20, 2021
The use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when the diagnosis is not definite on haematoxylin and eosin (H&E) morphology alone. The process is however inherently inefficient with delays while waiting...
Deep learning-based molecular morphometrics for kidney biopsies.
JCI insight
Apr 8, 2021
Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, accurate and scalable cellular quantification in human samples remains challenging. Here, we present a deep learning-based approach for antigen-specific...
Artificial intelligence and computational pathology.
Laboratory investigation; a journal of technical methods and pathology
Jan 16, 2021
Data processing and learning has become a spearhead for the advancement of medicine, with pathology and laboratory medicine has no exception. The incorporation of scientific research through clinical informatics, including genomics, proteomics, bioin...
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies.
JAMA network open
Nov 2, 2020
IMPORTANCE: Expert-level artificial intelligence (AI) algorithms for prostate biopsy grading have recently been developed. However, the potential impact of integrating such algorithms into pathologist workflows remains largely unexplored.
Rocky road to digital diagnostics: implementation issues and exhilarating experiences.
Journal of clinical pathology
Sep 28, 2020
Since 2007, we have gradually been building up infrastructure for digital pathology, starting with a whole slide scanner park to build up a digital archive to streamline doing multidisciplinary meetings, student teaching and research, culminating in ...
Synthesis of diagnostic quality cancer pathology images by generative adversarial networks.
The Journal of pathology
Sep 8, 2020
Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analysis and classification of cancer pathology images. However, there has been relatively little investigation of the utility of deep neural networks to s...
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