AIMC Topic: Pathology

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Use of Artificial Intelligence Chatbots in Interpretation of Pathology Reports.

JAMA network open
IMPORTANCE: Anatomic pathology reports are an essential part of health care, containing vital diagnostic and prognostic information. Currently, most patients have access to their test results online. However, the reports are complex and are generally...

The digital revolution in pathology: Towards a smarter approach to research and treatment.

Tumori
Artificial intelligence (AI) applications in oncology are at the forefront of transforming healthcare during the Fourth Industrial Revolution, driven by the digital data explosion. This review provides an accessible introduction to the field of AI, p...

[Artificial intelligence for pathology-how, where, and why?].

Pathologie (Heidelberg, Germany)
Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing a...

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning.

Medical image analysis
We propose DiRL, a Diversity-inducing Representation Learning technique for histopathology imaging. Self-supervised learning (SSL) techniques, such as contrastive and non-contrastive approaches, have been shown to learn rich and effective representat...

Addressing Chatbots as Artificial Intelligence Aids in Pediatric Pathology.

Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society

Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models.

Laboratory investigation; a journal of technical methods and pathology
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...

High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing.

IEEE transactions on pattern analysis and machine intelligence
Histopathological Whole Slide Images (WSIs) play a crucial role in cancer diagnosis. It is of significant importance for pathologists to search for images sharing similar content with the query WSI, especially in the case-based diagnosis. While slide...

Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images.

IEEE transactions on medical imaging
Medical centers and healthcare providers have concerns and hence restrictions around sharing data with external collaborators. Federated learning, as a privacy-preserving method, involves learning a site-independent model without having direct access...

How to use AI in pathology.

Genes, chromosomes & cancer
AI plays an important role in pathology, both in clinical practice supporting pathologists in their daily work, and in research discovering novel biomarkers for improved patient care. Still, AI is in its starting phase, and many pathology labs still ...