Pathology

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

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Dual-stage AI system for Pathologist-Free Tumor Detection and subtyping in Oral Squamous Cell Carcinoma

Accurate histological grading of oral squamous cell carcinoma (OSCC) is critical for prognosis and t...

Regulatory risk loci link disrupted androgen response to pathophysiology of Polycystic Ovary Syndrome

A major challenge in deciphering the complex genetic landscape of Polycystic Ovary Syndrome (PCOS) l...

Phenotypic and prognostic insights through unbiased self-supervised learning on kidney histology

Deep learning methods for image segmentation and classification in histopathology generally utilize ...

Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification

Pediatric sarcomas are rare and diverse, often leading to misclassification that hampers prognosis a...

Interpretable Machine Learning based Detection of Coeliac Disease

Coeliac disease, an autoimmune disorder affecting approximately 1% of the global population, is typi...

Clinical-grade autonomous cytopathology via whole-slide edge tomography

Cytopathology plays a central role in the early detection of cancers such as cervical, lung, and bla...

Rad-Path Correlation of Deep Learning Models for Prostate Cancer Detection on MRI

While Deep Learning (DL) models trained on Magnetic Resonance Imaging (MRI) have shown promise for p...

LabQAR: A Manually Curated Dataset for Question Answering on Laboratory Test Reference Ranges and Interpretation

Laboratory tests are crucial for diagnosing and managing health conditions, providing essential refe...

Using Large Language Models to Determine Reasons for Missed Colon Cancer Screening Follow-Up

Identifying reasons for missed preventive care, such as follow-up colonoscopy after an abnormal stoo...

Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions

Molecular and cellular alterations to the normal pseudostratified columnar bronchial epithelium resu...

Advancing sarcoma diagnostics with expanded DNA methylation-based classification

Sarcomas pose a severe diagnostic challenge. A wide variety of these distinct entities need to be di...

Myocardial Native T1 Mapping in the German National Cohort (NAKO): Associations with Age, Sex, and Cardiometabolic Risk Factors

In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantitative, non-i...

Genetic Profiling and Early Detection of Type 2 Diabetes Subtypes through Sex-Stratified GWAS and Explainable AI

Type 2 diabetes (T2D) is a complex and clinically heterogeneous disease. Although clustering approac...

Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET Biomarkers

Positron emission tomography (PET)/CT for myocardial perfusion imaging (MPI) provides multiple imagi...

Comprehensive characterization of granular fibrotic and cellular features in liver tissue enabled by deep learning models

Histologic staging of metabolic dysfunction-associated steatohepatitis (MASH) requires semiquantitat...

Light weight deep learning-based auto-quantification system for bright-filed HER2 dual in situ hybridization image analysis

The evaluation of erb-b2 receptor tyrosine kinase 2 (ERBB2 or HER2) gene amplification status throug...

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