Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach.

As digital imaging technology advances, accurate classification of 2D breast cancer images becomes i...

Risk assessment and interventions for malignant ground-glass lung nodules.

Pulmonary ground-glass nodules (GGNs) have become a major problem owing to their high frequency, lim...

AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes.

BACKGROUND: Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabet...

Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome.

This study systematically develops and evaluates the application value of the PCOS-GPT system, an ar...

Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules.

BACKGROUND: Pulmonary Nodules (PNs) are a trend considered as the early manifestation of lung cancer...

Deep learning-based ultrasound diagnostic model for follicular thyroid carcinoma.

OBJECTIVES: It is challenging to preoperatively diagnose follicular thyroid carcinoma (FTC) on ultra...

Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model.

Artificial intelligence applications in liver pathology remain limited, with existing tools either n...

AI-powered skin spectral imaging enables instant sepsis diagnosis and outcome prediction in critically ill patients.

With sepsis remaining a leading cause of mortality, early identification of patients with sepsis and...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...

Comparison of conventional and radiomics-based analysis of myocardial infarction using multimodal non-linear optical microscopy.

Myocardial infarction, a leading cause of mortality worldwide, leaves survivors at significant risk ...

Nancy histological index in ulcerative colitis: an interobserver study.

The Nancy histological index (NHI) is a measure of disease activity within colorectal biopsies and a...

Research on lung cancer diagnosis based on machine learning.

BackgroundIn clinical diagnosis, determining the level of malignancy in tumors and differentiating b...

Prognostic and Predictive Value of Machine Learning-Based Biomarker and Pathomics Signatures in Patients With Prostate Cancer.

Recurrence and the potential development of castration resistance after radical prostatectomy (RP) a...

AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.

Presently, pathologists need to stain biopsy samples with standard and antibody-based immunocytochem...

Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data.

Gliomas are the most prevalent malignant primary brain tumors and present diagnostic challenges due ...

2D-3D deformable image registration of histology slide and micro-CT with DISA-based initialization.

Recent developments in the registration of histology and micro-computed tomography (µCT) have broade...

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fib...

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