AIMC Topic: Pathology, Clinical
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Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system.
Genome medicine
May 26, 2025
BACKGROUND: Digital pathology (DP) has revolutionized cancer diagnostics and enabled the development of deep-learning (DL) models aimed at supporting pathologists in their daily work and improving patient care. However, the clinical adoption of such ...
Digital pathology and artificial intelligence in diagnostic pathology.
The Malaysian journal of pathology
Apr 1, 2025
Currently, digital pathology is a profound transformation in the field of pathology. Numerous artificial intelligence (AI) algorithms have demonstrated significant potential for the improvement of diagnostic efficiency, morphometric analysis of bioma...
Generative Artificial Intelligence in Anatomic Pathology.
Archives of pathology & laboratory medicine
Apr 1, 2025
CONTEXT.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research ca...
Introduction to Generative Artificial Intelligence: Contextualizing the Future.
Archives of pathology & laboratory medicine
Feb 1, 2025
CONTEXT.—: Generative artificial intelligence (GAI) is a promising new technology with the potential to transform communication and workflows in health care and pathology. Although new technologies offer advantages, they also come with risks that use...
Evaluating Use of Generative Artificial Intelligence in Clinical Pathology Practice: Opportunities and the Way Forward.
Archives of pathology & laboratory medicine
Feb 1, 2025
CONTEXT.—: Generative artificial intelligence (GAI) technologies are likely to dramatically impact health care workflows in clinical pathology (CP). Applications in CP include education, data mining, decision support, result summaries, and patient tr...
Democratizing Artificial Intelligence in Anatomic Pathology.
Archives of pathology & laboratory medicine
Jan 1, 2025
CONTEXT.—: Artificial intelligence is a transforming technology for anatomic pathology. Involvement within the workforce will foster support for algorithm development and implementation.
Comparative analysis of ChatGPT and Bard in answering pathology examination questions requiring image interpretation.
American journal of clinical pathology
Sep 3, 2024
OBJECTIVES: To evaluate the accuracy of ChatGPT and Bard in answering pathology examination questions requiring image interpretation.
[Accelerating the construction of digital and intelligentialized pathology and the prospects].
Zhonghua bing li xue za zhi = Chinese journal of pathology
May 8, 2024
With the continuous development of informatization, digitalization and artificial intelligence technology, the working mode of the pathology department has gradually changed from the traditional manual check, paper circulation and physical carrier st...
Evaluation of ChatGPT pathology knowledge using board-style questions.
American journal of clinical pathology
Apr 3, 2024
OBJECTIVES: ChatGPT is an artificial intelligence chatbot developed by OpenAI. Its extensive knowledge and unique interactive capabilities enable its use in various innovative ways in the medical field, such as writing clinical notes and simplifying ...
Artificial Intelligence-Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples.
American journal of clinical pathology
Jun 17, 2021
OBJECTIVES: This study aimed to develop and validate a deep learning algorithm to screen digitized acid fast-stained (AFS) slides for mycobacteria within tissue sections.
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