AIMC Topic: Pathology
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Building a central repository landmarks a new era for artificial intelligence-assisted digital pathology development in Europe.
European journal of cancer (Oxford, England : 1990)
Apr 21, 2021
Generative Deep Learning in Digital Pathology Workflows.
The American journal of pathology
Apr 8, 2021
Many modern histopathology laboratories are in the process of digitizing their workflows. Digitization of tissue images has made it feasible to research the augmentation or automation of clinical reporting and diagnosis. The application of modern com...
Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology.
Cells
Apr 2, 2021
Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements of Personalized Medicine. The advent of Art...
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 ...
Microscopy
Cost-Benefit Analysis
Image Interpretation, Computer-Assisted
Health Knowledge, Attitudes, Practice
Predictive Value of Tests
Pathologists
Attitude to Computers
Practice Patterns, Physicians'
Health Care Costs
Pathology
Humans
Artificial Intelligence
Reproducibility of Results
Attitude of Health Personnel
Searching Images for Consensus: Can AI Remove Observer Variability in Pathology?
The American journal of pathology
Feb 24, 2021
One of the major obstacles in reaching diagnostic consensus is observer variability. With the recent success of artificial intelligence, particularly the deep networks, the question emerges as to whether the fundamental challenge of diagnostic imagin...
Mini Review: The Last Mile-Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology.
Toxicologic pathology
Feb 16, 2021
The 2019 manuscript by the Special Interest Group on Digital Pathology and Image Analysis of the Society of Toxicologic pathology suggested that a synergism between artificial intelligence (AI) and machine learning (ML) technologies and digital toxic...
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study.
Journal of medical Internet research
Feb 2, 2021
BACKGROUND: An increasing number of studies within digital pathology show the potential of artificial intelligence (AI) to diagnose cancer using histological whole slide images, which requires large and diverse data sets. While diversification may re...
Artificial intelligence in dermatopathology: Diagnosis, education, and research.
Journal of cutaneous pathology
Jan 26, 2021
Artificial intelligence (AI) utilizes computer algorithms to carry out tasks with human-like intelligence. Convolutional neural networks, a type of deep learning AI, can classify basal cell carcinoma, seborrheic keratosis, and conventional nevi, high...
Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology.
The American journal of pathology
Nov 24, 2020
Significant advances in artificial intelligence (AI), deep learning, and other machine-learning approaches have been made in recent years, with applications found in almost every industry, including health care. AI is capable of completing a spectrum...
Challenges Developing Deep Learning Algorithms in Cytology.
Acta cytologica
Nov 2, 2020
BACKGROUND: The incorporation of digital pathology into routine pathology practice is becoming more widespread. Definite advantages exist with respect to the implementation of artificial intelligence (AI) and deep learning in pathology, including cyt...
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