Pathology

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

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Three-dimensional high-content imaging of unstained soft tissue with subcellular resolution using a laboratory-based multi-modal X-ray microscope

With increasing interest in studying biological systems across spatial scales—from centimetres down ...

The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET): Rationale and Design

The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET) was est...

Cross-Modal Deep Learning for Integrated Molecular Diagnosis of Cancer: A Prospective Multicenter Study

Accurate integration of histological and molecular features is central to modern cancer diagnostics,...

A clinically relevant morpho-molecular classification of lung neuroendocrine tumours

Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incidence worldwi...

Benign-Malignant Classification of Pulmonary Nodules in CT Images Based on Fractal Spectrum Analysis

This study reveals that pulmonary nodules exhibit distinct multifractal characteristics, with malign...

Leveraging Large Language Models and Patient Portal Messages for Early Identification of Depression

Large language model (LLM)-assisted early warning system may help overcome existing barriers to time...

Revolutionizing Lung Cancer Detection: Evaluating AI Models for VOC Analysis and Unveiling Key Exhaled Biomarkers

Volatile Organic Compounds (VOCs) are organic chemicals that readily vaporize at room temperature an...

CAPoxy: a feasibility study to investigate multispectral imaging in nailfold capillaroscopy

Nailfold capillaroscopy enables visualisation of structural abnormalities in the microvasculature of...

Ultra-low-field MRI for imaging of severe multiple sclerosis: a case-controlled study

Severe multiple sclerosis (MS) presents challenges for clinical research due to mobility constraints...

Deep learning-based identification of necrosis and microvascular proliferation in adult diffuse gliomas from whole-slide images

For adult diffuse gliomas (ADGs), most grading can be achieved through molecular subtyping, retainin...

Human breast cancer is linked to Epstein-Barr virus because it targets stem cells: bioinformatic chromosome correlations

Breast cancer originates from rare “cancer stem cells”. Stem cells are especially susceptible to bec...

Deep Learning in Myocarditis: A Novel Approach to Severity Assessment

Myocarditis is a life-threatening disease with significant hemodynamic risks during the acute phase....

Postmortem Validation of Quantitative MRI for White Matter Hyperintensities in Alzheimer’s Disease

White matter hyperintensities (WMH) are frequently observed on MRI in aging and Alzheimer’s disease ...

Concordant and discordant gene expression signatures of twin placentas in the setting of preeclampsia

Multifetal pregnancies are associated with increased risk for preeclampsia (PreE), but the underlyin...

Ensemble Deep Learning for Histopathological Breast Cancer Detection

Breast cancer remains one of the leading causes of mortality among women worldwide, and early and ac...

A Hybrid CNN-Transformer Deep Learning Model for Differentiating Benign and Malignant Breast Tumors Using Multi-View Ultrasound Images

Breast cancer is a leading malignancy threatening women’s health globally, making early and accurate...

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