AIMC Topic: Cytodiagnosis
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Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic Review.
Acta cytologica
Jan 2, 2025
INTRODUCTION: Thyroid cytopathology, particularly in cases of atypia of undetermined significance/follicular lesions of undetermined significance (AUS/FLUS), suffers from suboptimal sensitivity and specificity challenges. Recent advancements in digit...
Integration of AI-Assisted in Digital Cervical Cytology Training: A Comparative Study.
Cytopathology : official journal of the British Society for Clinical Cytology
Dec 8, 2024
OBJECTIVE: This study aimed to investigate the supporting role of artificial intelligence (AI) in digital cervical cytology training.
Artificial intelligence algorithms enhance urine cytology reporting confidence in postoperative follow-up for upper urinary tract urothelial carcinoma.
International urology and nephrology
Nov 7, 2024
PURPOSE: In Taiwan, the incidence of urothelial carcinoma of the upper urinary tract (UTUC) is high and intravesical recurrence is approximately 22%-47%. Thus, postoperative cystoscopy and urine cytology follow-up, which require experienced cytologis...
Utilization of an artificial intelligence-enhanced, web-based application to review bile duct brushing cytologic specimens: A pilot study.
Cancer cytopathology
Aug 29, 2024
BACKGROUND: The authors previously developed an artificial intelligence (AI) to assist cytologists in the evaluation of digital whole-slide images (WSIs) generated from bile duct brushing specimens. The aim of this trial was to assess the efficiency ...
Artificial Intelligence Recognition Model Using Liquid-Based Cytology Images to Discriminate Malignancy and Histological Types of Non-Small-Cell Lung Cancer.
Pathobiology : journal of immunopathology, molecular and cellular biology
Aug 28, 2024
INTRODUCTION: Artificial intelligence image recognition has applications in clinical practice. The purpose of this study was to develop an automated image classification model for lung cancer cytology using a deep learning convolutional neural networ...
Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology.
Scientific reports
Aug 2, 2024
Peritoneal washing cytology (CY) in patients with pancreatic cancer is mainly used for staging; however, it may also be used to evaluate the intraperitoneal status to predict a more accurate prognosis. Here, we investigated the potential of deep lear...
A deep learning framework for predicting endometrial cancer from cytopathologic images with different staining styles.
PloS one
Jul 31, 2024
Endometrial cancer screening is crucial for clinical treatment. Currently, cytopathologists analyze cytopathology images is considered a popular screening method, but manual diagnosis is time-consuming and laborious. Deep learning can provide objecti...
Training high-performance deep learning classifier for diagnosis in oral cytology using diverse annotations.
Scientific reports
Jul 30, 2024
The uncertainty of true labels in medical images hinders diagnosis owing to the variability across professionals when applying deep learning models. We used deep learning to obtain an optimal convolutional neural network (CNN) by adequately annotatin...
Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer.
Scientific reports
Jul 16, 2024
Fluorescence polarization (Fpol) imaging of methylene blue (MB) is a promising quantitative approach to thyroid cancer detection. Clinical translation of MB Fpol technology requires reduction of the data analysis time that can be achieved via deep le...
Diagnostic utility of transfer learning by using convolutional neural network for cytological diagnosis of malignant effusions.
Diagnostic cytopathology
Jul 15, 2024
INTRODUCTION: Cytological analysis of effusion specimens provides critical information regarding the diagnosis and staging of malignancies, thus guiding their treatment and subsequent monitoring. Keeping in view the challenges encountered in the morp...
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