AIMC Topic: Pathologists

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[The first data challenge of the french society of pathology: An international competition in 2020, a research tool in A.I. for the future?].

Annales de pathologie Jan 7, 2022
The french society of pathology (SFP) organized in 2020 its first data challenge with the help of Health Data Hub (HDH). The organisation of this event first consisted in recruiting almost 5000 slides of uterus cervical biopsies obtained in 20 pathol...
Female Cervix Uteri Biopsy Pathologists Humans Artificial Intelligence Algorithms
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Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.

Veterinary pathology Dec 30, 2021
The mitotic count (MC) is an important histological parameter for prognostication of malignant neoplasms. However, it has inter- and intraobserver discrepancies due to difficulties in selecting the region of interest (MC-ROI) and in identifying or cl...
Deep Learning Dogs Algorithms Pathologists Reproducibility of Results Humans Animals Artificial Intelligence
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Whole-slide imaging, tissue image analysis, and artificial intelligence in veterinary pathology: An updated introduction and review.

Veterinary pathology Sep 14, 2021
Since whole-slide imaging has been commercially available for over 2 decades, digital pathology has become a constantly expanding aspect of the pathology profession that will continue to significantly impact how pathologists conduct their craft. Whil...
Animals Image Processing, Computer-Assisted Pathologists Humans Artificial Intelligence Machine Learning Pathology, Veterinary
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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.

European journal of cancer (Oxford, England : 1990) Sep 8, 2021
BACKGROUND: Multiple studies have compared the performance of artificial intelligence (AI)-based models for automated skin cancer classification to human experts, thus setting the cornerstone for a successful translation of AI-based tools into clinic...
Melanoma Skin Neoplasms Dermoscopy Reproducibility of Results Humans Neural Networks, Computer Dermatologists Microscopy Image Interpretation, Computer-Assisted Automation Predictive Value of Tests Diagnosis, Computer-Assisted Biopsy Deep Learning Clinical Competence Pathologists
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Ethics of AI in Pathology: Current Paradigms and Emerging Issues.

The American journal of pathology Jul 10, 2021
Deep learning has rapidly advanced artificial intelligence (AI) and algorithmic decision-making (ADM) paradigms, affecting many traditional fields of medicine, including pathology, which is a heavily data-centric specialty of medicine. The structured...
Pathology Pathologists Humans Risk Artificial Intelligence Stakeholder Participation
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Grading of invasive breast carcinoma: the way forward.

Virchows Archiv : an international journal of pathology Jul 1, 2021
Histologic grading has been a simple and inexpensive method to assess tumor behavior and prognosis of invasive breast cancer grading, thereby identifying patients at risk for adverse outcomes, who may be eligible for (neo)adjuvant therapies. Histolog...
Female Reproducibility of Results Breast Neoplasms Neoplasm Grading Pathologists Mitosis Humans Artificial Intelligence
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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...
Humans Artificial Intelligence Research Design Retrospective Studies Reproducibility of Results Observer Variation Image Processing, Computer-Assisted Immunohistochemistry Breast Neoplasms Pathologists Ki-67 Antigen Calibration Biomarkers, Tumor Data Accuracy Pathology, Clinical Diagnosis, Computer-Assisted
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Independent real-world application of a clinical-grade automated prostate cancer detection system.

The Journal of pathology Apr 27, 2021
Artificial intelligence (AI)-based systems applied to histopathology whole-slide images have the potential to improve patient care through mitigation of challenges posed by diagnostic variability, histopathology caseload, and shortage of pathologists...
Artificial Intelligence Machine Learning Prostatic Neoplasms Biopsy, Large-Core Needle Aged Aged, 80 and over Prostate Biopsy Humans Male Pathologists Middle Aged
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Special Issue on Digital Pathology, Tissue Image Analysis, Artificial Intelligence, and Machine Learning: Approximation of the Effect of Novel Technologies on Toxicologic Pathology.

Toxicologic pathology Apr 12, 2021
For decades, it has been postulated that digital pathology is the future. By now it is safe to say that we are living that future. Digital pathology has expanded into all aspects of pathology, including human diagnostic pathology, veterinary diagnost...
Pathologists Machine Learning Reproducibility of Results Image Processing, Computer-Assisted Humans Artificial Intelligence
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Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review.

Diagnostic pathology Mar 17, 2021
BACKGROUND: The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine ...
Pathology Attitude to Computers Pathologists Attitude of Health Personnel Image Interpretation, Computer-Assisted Humans Microscopy Practice Patterns, Physicians' Health Knowledge, Attitudes, Practice Artificial Intelligence Cost-Benefit Analysis Health Care Costs Reproducibility of Results Predictive Value of Tests
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