AIMC Topic: Pathologists

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ChatGPT as an aid for pathological diagnosis of cancer.

Pathology, research and practice Nov 29, 2023
Diagnostic workup of cancer patients is highly reliant on the science of pathology using cytopathology, histopathology, and other ancillary techniques like immunohistochemistry and molecular cytogenetics. Data processing and learning by means of arti...
Humans Pathologists Cytogenetics Artificial Intelligence Algorithms Neoplasms
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An End-to-End Platform for Digital Pathology Using Hyperspectral Autofluorescence Microscopy and Deep Learning-Based Virtual Histology.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Nov 4, 2023
Conventional histopathology involves expensive and labor-intensive processes that often consume tissue samples, rendering them unavailable for other analyses. We present a novel end-to-end workflow for pathology powered by hyperspectral microscopy an...
Non-alcoholic Fatty Liver Disease Humans Deep Learning Microscopy Reproducibility of Results Pathologists
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Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?

Histopathology Nov 3, 2023
Artificial intelligence (AI)-based diagnostic tools can offer numerous benefits to the field of histopathology, including improved diagnostic accuracy, efficiency and productivity. As a result, such tools are likely to have an increasing role in rout...
Algorithms Pathologists Humans Artificial Intelligence
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Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 10, 2023
Recent progress in computational pathology has been driven by deep learning. While code and data availability are essential to reproduce findings from preceding publications, ensuring a deep learning model's reusability is more challenging. For that,...
Pathologists Humans Algorithms Reproducibility of Results Deep Learning
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Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability.

New biotechnology Oct 2, 2023
Diagnostic histopathology faces increasing demands due to aging populations and expanding healthcare programs. Semi-automated diagnostic systems employing deep learning methods are one approach to alleviate this pressure. The learning models for hist...
Humans Neural Networks, Computer Pathologists Male Prostatic Neoplasms
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Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models.

Laboratory investigation; a journal of technical methods and pathology Sep 26, 2023
Digital pathology has transformed the traditional pathology practice of analyzing tissue under a microscope into a computer vision workflow. Whole-slide imaging allows pathologists to view and analyze microscopic images on a computer monitor, enablin...
Pathologists Pathology Image Processing, Computer-Assisted Humans Artificial Intelligence Neural Networks, Computer Machine Learning
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Computational pathology in cancer diagnosis, prognosis, and prediction - present day and prospects.

The Journal of pathology Aug 14, 2023
Computational pathology refers to applying deep learning techniques and algorithms to analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led to an explosion in innovation in computational pathology, ranging fro...
Humans Artificial Intelligence Algorithms Neoplasms Prognosis Pathologists
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Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologists.

Scientific reports Jul 19, 2023
The study aims to identify histological classifiers from histopathological images of oral squamous cell carcinoma using convolutional neural network (CNN) deep learning models and shows how the results can improve diagnosis. Histopathological samples...
Pathologists Carcinoma, Squamous Cell Deep Learning Humans Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Mouth Neoplasms
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Applied machine learning in hematopathology.

International journal of laboratory hematology May 31, 2023
An increasing number of machine learning applications are being developed and applied to digital pathology, including hematopathology. The goal of these modern computerized tools is often to support diagnostic workflows by extracting and summarizing ...
Algorithms Workflow Pathologists Humans Machine Learning
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Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework.

Scientific reports May 31, 2023
Colorectal cancer (CRC) is the second leading cause of cancer death in the world, so digital pathology is essential for assessing prognosis. Due to the increasing resolution and quantity of whole slide images (WSIs), as well as the lack of annotated ...
Colorectal Neoplasms Algorithms Pathologists Deep Learning Prognosis Humans
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