AIMC Topic: Precancerous Conditions
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Spatially Resolved Fibre-Optic Probe for Cervical Precancer Detection Using Fluorescence Spectroscopy and PCA-ANN-Based Classification Algorithm: An In Vitro Study.
Journal of biophotonics
Oct 8, 2024
Cervical cancer can be detected at an early stage through the changes occurring in biochemical and morphological properties of epithelium layer. Fluorescence spectroscopy has the ability to identify these subtle changes non-invasively and in real tim...
Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction.
Gastrointestinal endoscopy
Jun 26, 2024
BACKGROUND AND AIMS: Computer-aided diagnosis (CADx) for the optical diagnosis of colorectal polyps is thoroughly investigated. However, studies on human-artificial intelligence interaction are lacking. Our aim was to investigate endoscopists' trust ...
Machine learning-driven SERS analysis platform for rapid and accurate detection of precancerous lesions of gastric cancer.
Mikrochimica acta
Jun 22, 2024
A novel approach is proposed leveraging surface-enhanced Raman spectroscopy (SERS) combined with machine learning (ML) techniques, principal component analysis (PCA)-centroid displacement-based nearest neighbor (CDNN). This label-free approach can id...
Deep Learning for Histopathological Assessment of Esophageal Adenocarcinoma Precursor Lesions.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jun 1, 2024
Histopathological assessment of esophageal biopsies is a key part in the management of patients with Barrett esophagus (BE) but prone to observer variability and reliable diagnostic methods are needed. Artificial intelligence (AI) is emerging as a po...
Accuracy of artificial intelligence-assisted endoscopy in the diagnosis of gastric intestinal metaplasia: A systematic review and meta-analysis.
PloS one
May 14, 2024
BACKGROUND AND AIMS: Gastric intestinal metaplasia is a precancerous disease, and a timely diagnosis is essential to delay or halt cancer progression. Artificial intelligence (AI) has found widespread application in the field of disease diagnosis. Th...
An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research.
Head and neck pathology
May 10, 2024
INTRODUCTION: Oral epithelial dysplasia (OED) is a precancerous histopathological finding which is considered the most important prognostic indicator for determining the risk of malignant transformation into oral squamous cell carcinoma (OSCC). The g...
Deep learning assists detection of esophageal cancer and precursor lesions in a prospective, randomized controlled study.
Science translational medicine
Apr 17, 2024
Endoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESCC) and precancerous lesions. Improving detection rate remains challenging. We developed a system based on deep convolutional neural networks (CNNs) fo...
Deep Learning in High-Resolution Anoscopy: Assessing the Impact of Staining and Therapeutic Manipulation on Automated Detection of Anal Cancer Precursors.
Clinical and translational gastroenterology
Apr 1, 2024
INTRODUCTION: High-resolution anoscopy (HRA) is the gold standard for detecting anal squamous cell carcinoma (ASCC) precursors. Preliminary studies on the application of artificial intelligence (AI) models to this modality have revealed promising res...
Acetic Acid
Humans
Proctoscopy
Precancerous Conditions
Anus Neoplasms
Squamous Intraepithelial Lesions
Anal Canal
Sensitivity and Specificity
Neural Networks, Computer
Male
Deep Learning
Carcinoma, Squamous Cell
Algorithms
Middle Aged
Staining and Labeling
Aged
Female
Predictive Value of Tests
Adult
Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review.
International journal of medical informatics
Mar 22, 2024
BACKGROUND: Oral Potentially Malignant Disorders (OPMDs) refer to a heterogenous group of clinical presentations with heightened rate of malignant transformation. Identification of risk levels in OPMDs is crucial to determine the need for active inte...
OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification.
Journal of imaging informatics in medicine
Feb 26, 2024
Early diagnosis of potentially malignant disorders, such as oral epithelial dysplasia, is the most reliable way to prevent oral cancer. Computational algorithms have been used as an auxiliary tool to aid specialists in this process. Usually, experime...
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