AIMC Topic: Mouth Neoplasms

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Automated Electrical Detection of Proteins for Oral Squamous Cell Carcinoma in an Integrated Microfluidic Chip Using Multi-Frequency Impedance Cytometry and Machine Learning.

Sensors (Basel, Switzerland) Mar 4, 2025
Proteins can act as suitable biomarkers for the prognosis and diagnosis of certain conditions and can help us gain an understanding of the fundamental processes that occur inside an organism. In this work, we present a fully automated machine learnin...
Mouth Neoplasms Saliva Microfluidics Carcinoma, Squamous Cell Biomarkers, Tumor Biosensing Techniques Electric Impedance Lab-On-A-Chip Devices Microfluidic Analytical Techniques Humans Machine Learning Interleukin-6
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Accuracy of ChatGPT 3.5, 4.0, 4o and Gemini in diagnosing oral potentially malignant lesions based on clinical case reports and image recognition.

Medicina oral, patologia oral y cirugia bucal Mar 1, 2025
BACKGROUND: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is crucial for effective management and prevention of oral cancer. Recent advancements in artificial intelligence technologies indicates its potential to assi...
Humans Artificial Intelligence Generative Artificial Intelligence Mouth Neoplasms
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Deep structured learning with vision intelligence for oral carcinoma lesion segmentation and classification using medical imaging.

Scientific reports Feb 24, 2025
Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has developed a gradually significant public health concern in emerging and low-to-middle-income states. Late diagnosis, high incidence, and inadequate t...
Humans Machine Learning Deep Learning Image Processing, Computer-Assisted Mouth Neoplasms
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Explainable label guided lightweight network with axial transformer encoder for early detection of oral cancer.

Scientific reports Feb 21, 2025
Oral cavity cancer exhibits high morbidity and mortality rates. Therefore, it is essential to diagnose the disease at an early stage. Machine learning and convolution neural networks (CNN) are powerful tools for diagnosing mouth and oral cancer. In t...
Humans Neural Networks, Computer Machine Learning Algorithms Early Detection of Cancer Mouth Neoplasms
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Exploring the capabilities of GenAI for oral cancer consultations in remote consultations : Author.

BMC oral health Feb 20, 2025
BACKGROUND: Generative artificial intelligence (GenAI) has demonstrated potential in remote consultations, yet its capacity to comprehend oral cancer has not yet been fully evaluated. The objective of this study was to evaluate the accuracy, reliabil...
China Mouth Neoplasms Remote Consultation Humans Artificial Intelligence Reproducibility of Results
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Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Acta cytologica Feb 3, 2025
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...
Cytodiagnosis Adult Carcinoma, Squamous Cell Image Interpretation, Computer-Assisted Male Humans Pilot Projects Reproducibility of Results Middle Aged Artificial Intelligence Early Detection of Cancer Aged Papanicolaou Test Female Predictive Value of Tests Squamous Cell Carcinoma of Head and Neck Mouth Neoplasms
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Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model.

BMC oral health Jan 30, 2025
BACKGROUND: Postoperative fever (POF) is a common occurrence in patients undergoing major surgery, presenting challenges and burdens for both patients and surgeons yet. This study endeavors to examine the incidence, identify risk factors, and establi...
Mouth Neoplasms Fever Length of Stay Incidence Nomograms Male Middle Aged Postoperative Complications Humans Machine Learning Risk Factors Retrospective Studies Aged Female Adult
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Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia.

Scientific reports Jan 29, 2025
Visual diagnosis is one of the key features of squamous cell carcinoma of the oral cavity (OSCC) and oropharynx (OPSCC), both subsets of head and neck squamous cell carcinoma (HNSCC) with a heterogeneous clinical appearance. Advancements in artificia...
Humans Artificial Intelligence Female Male Image Processing, Computer-Assisted Oropharyngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Leukoplakia Mouth Neoplasms Leukoplakia, Oral
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Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework.

Scientific reports Jan 23, 2025
Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global incidence and have poor prognosis. Tumour-infiltrating lymphocytes (TILs) are recognized as a key prognostic indicator and play a vital role in OSCC gr...
Neoplasm Grading Mouth Neoplasms Humans Machine Learning Carcinoma, Squamous Cell Reproducibility of Results Squamous Cell Carcinoma of Head and Neck Lymphocytes, Tumor-Infiltrating
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Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy.

Scientific reports Jan 20, 2025
Oral cancer detection is based on biopsy histopathology, however with digital microscopy imaging technology there is real potential for rapid multi-site imaging and simultaneous diagnostic analysis. Fifty-nine patients with oral mucosal abnormalities...
Acriflavine Mouth Neoplasms Fluorescein Mouth Mucosa Aged Adult Male Middle Aged Convolutional Neural Networks Microscopy, Confocal Neural Networks, Computer Female Carcinoma, Squamous Cell Humans
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