AIMC Topic: Cytodiagnosis

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Computer-assisted cytologic diagnosis in pancreatic FNA: An application of neural networks to image analysis.

Cancer cytopathology
BACKGROUND: Fine-needle aspiration (FNA) biopsy is an accurate method for the diagnosis of solid pancreatic masses. However, a significant number of cases still pose a diagnostic challenge. The authors have attempted to design a computer model to aid...

Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System.

Cancer cytopathology
BACKGROUND: Medical technologies powered by artificial intelligence are quickly transforming into practical solutions by rapidly leveraging massive amounts of data processed via deep learning algorithms. There is a necessity to validate these innovat...

Current landscape and emerging opportunities for using telecytology for rapid on-site assessment in cytopathology.

Cancer cytopathology
In recent years, cytopathology practices increasingly are considering the adoption of digital modalities to support remote rapid on-site evaluation (ROSE) of fine-needle aspiration biopsies. Currently, various digital options are available, each of w...

Implementing 100% quality control in a cervical cytology workflow using whole slide images and artificial intelligence provided by the Techcyte SureView™ System.

Cancer cytopathology
BACKGROUND: Recent advancements in digital pathology have extended into cytopathology. Laboratories screening cervical cytology specimens now choose between limited imaging options and traditional manual microscopy. The Techcyte SureView™ Cervical Cy...

Whole slide image-level classification of malignant effusion cytology using clustering-constrained attention multiple instance learning.

Lung cancer (Amsterdam, Netherlands)
BACKGROUND: Cytological diagnosis of pleural effusion plays an important role in the early detection and diagnosis of lung cancers. Recently, attempts have been made to overcome low diagnostic accuracy and interobserver variability using artificial i...

[A Meta-analysis of the application of artificial intelligence in cervical cytopathology diagnosis].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
To systematically evaluate the application of artificial intelligence (AI) in cervical cytopathology diagnosis. A systematic search was conducted using the keywords ''cervical cancer'' ''cytology'' ''artificial intelligence'' ''sensitivity'' and ''...

Does artificial intelligence redefine nuclear-to-cytoplasmic ratio threshold for diagnosing high-grade urothelial carcinoma?

Cancer cytopathology
BACKGROUND: The Paris System (TPS) introduced standardized nuclear-to-cytoplasmic (N/C) ratio thresholds for urine cytology to improve high-grade urothelial carcinoma (HGUC) detection, but these criteria remain subjective. This study used AIxURO, an ...

[Diagnostic performance evaluation of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination. Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of t...

Intelligent diagnosis of thyroid nodules with AI ultrasound assistance and cytology classification.

Frontiers in endocrinology
OBJECTIVE: Accurate evaluation of thyroid nodules is crucial for effective management; however, methods such as ultrasonography and Fine Needle Aspiration Cytology (FNAC) can be subjective and operator-dependent. Indeterminate thyroid nodules (ITNs) ...