AIMC Topic: Cytodiagnosis

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The future of digital cytology and artificial intelligence: an editorial commentary for Digital Cytology part 1 and 2.

Journal of the American Society of Cytopathology Dec 23, 2023
Cytodiagnosis Artificial Intelligence Humans Cytological Techniques
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Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force.

Journal of the American Society of Cytopathology Dec 3, 2023
Digital cytology and artificial intelligence (AI) are gaining greater adoption in the cytology laboratory. However, peer-reviewed real-world data and literature are lacking in regard to the current clinical landscape. The American Society of Cytopath...
Cytodiagnosis Humans Artificial Intelligence Laboratories Workflow Cytological Techniques
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Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force.

Journal of the American Society of Cytopathology Dec 3, 2023
Digital cytology and artificial intelligence (AI) are gaining greater adoption in the cytopathology laboratory. However, peer-reviewed real-world data and literature are lacking regarding the current clinical landscape. The American Society of Cytopa...
Humans Artificial Intelligence Cytodiagnosis Laboratories Workflow Cytological Techniques
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Artificial Intelligence: Exploring utility in detection and typing of fungus with futuristic application in fungal cytology.

Cytopathology : official journal of the British Society for Clinical Cytology Nov 16, 2023
Artificial Intelligence (AI) is an emerging, transforming and revolutionary technology that has captured attention worldwide. It is translating research into precision oncology treatments. AI can analyse large or big data sets requiring high-speed sp...
Humans Cytodiagnosis Artificial Intelligence Fungi Mycoses
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A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma.

Cancer medicine Jul 17, 2023
BACKGROUND AND AIMS: Endoscopic ultrasonography-guided fine-needle aspiration/biopsy (EUS-FNA/B) is considered to be a first-line procedure for the pathological diagnosis of pancreatic cancer owing to its high accuracy and low complication rate. The ...
Deep Learning Pancreatic Neoplasms Humans Endoscopic Ultrasound-Guided Fine Needle Aspiration Cytodiagnosis Carcinoma, Pancreatic Ductal
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Relationship between a deep learning model and liquid-based cytological processing techniques.

Cytopathology : official journal of the British Society for Clinical Cytology Apr 13, 2023
OBJECTIVE: Artificial intelligence (AI)-based cytopathology studies conducted using deep learning have enabled cell detection and classification. Liquid-based cytology (LBC) has facilitated the standardisation of specimen preparation; however, cytomo...
Cytodiagnosis Humans Artificial Intelligence Deep Learning Cytological Techniques
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Relationship between Liquid-Based Cytology Preservative Solutions and Artificial Intelligence: Liquid-Based Cytology Specimen Cell Detection Using YOLOv5 Deep Convolutional Neural Network.

Acta cytologica Sep 6, 2022
INTRODUCTION: Deep learning is a subset of machine learning that has contributed to significant changes in feature extraction and image classification and is being actively researched and developed in the field of cytopathology. Liquid-based cytology...
Cytodiagnosis Machine Learning Humans Neural Networks, Computer Artificial Intelligence Algorithms
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Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning-based image preprocessing technique.

Cancer cytopathology Aug 23, 2022
BACKGROUND: Urine cytology is commonly used as a screening test for high-grade urothelial carcinoma for patients with risk factors or hematuria and is an essential step in longitudinal monitoring of patients with previous bladder cancer history. Howe...
Carcinoma, Transitional Cell Urine Cytodiagnosis Reproducibility of Results Deep Learning Humans Urinary Bladder Neoplasms Epithelial Cells
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Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.

Cancer cytopathology Jun 21, 2022
BACKGROUND: The Paris System for Reporting Urinary Cytology (TPS) has been shown to improve bladder cancer diagnosis. Advances in artificial intelligence (AI) may assist and improve the clinical workflow by applying TPS in routine diagnostic services...
Algorithms Retrospective Studies Pilot Projects Urologic Neoplasms Humans Artificial Intelligence Urothelium Cytodiagnosis Urine
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Is it real or not? Toward artificial intelligence-based realistic synthetic cytology image generation to augment teaching and quality assurance in pathology.

Journal of the American Society of Cytopathology Feb 8, 2022
INTRODUCTION: Urine cytology offers a rapid and relatively inexpensive method to diagnose urothelial neoplasia. In our setting of a public sector laboratory in South Africa, urothelial neoplasia is rare, compromising pathology training in this specif...
Cytodiagnosis Urothelium Humans Male Artificial Intelligence Urologic Neoplasms Female
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