Pathology

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

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Transcriptomic and single-cell insights into mitochondrial genes NDUFA8, ECI2, and ACADM in acute myocardial infarction.

Mitochondrial function plays a crucial role in understanding the pathogenesis of acute myocardial in...

Jul 2025 40619072
Multi-modal convolutional neural network-based thyroid cytology classification and diagnosis.

BACKGROUND: The cytologic diagnosis of thyroid nodules' benign and malignant nature based on cytolog...

Jul 2025 40617519
Enhancing Prostate Cancer Classification: A Comprehensive Review of Multiparametric MRI and Deep Learning Integration.

Multiparametric MRI (mpMRI) has become an essential tool in the detection of prostate cancer (PCa) a...

Jul 2025 40613800
Ultrafast MRI and diffusion-weighted imaging: a review of morphological evaluation and image quality in breast MRI.

Breast magnetic resonance imaging (MRI) is an essential tool for evaluating breast lesions, with dyn...

Jul 2025 40613850
Discovering novel type I collagen fragments from Cyprinus carpio supporting bone regeneration.

Fish collagen is gaining increasing attention in tissue engineering due to its exceptional bioactivi...

Jul 2025 40613918
Leveraging pathological markers of lower grade glioma to predict the occurrence of secondary epilepsy, a retrospective study.

Epilepsy is a common manifestation in patients with lower grade glioma (LGG), often presenting as th...

Jul 2025 40615429
AI assistance enhances histopathologic distinction between sebaceous and squamous cell carcinoma of the eyelid.

Sebaceous gland carcinoma (SGC) and some poorly differentiated squamous cell carcinomas (SC) of the ...

Jul 2025 40615496
Metal loss defect detection and depth estimation using multi-spectral image analysis of cooling excited steel specimen with corrosion.

Imaging techniques have considerably improved corrosion-induced metal loss defect detection and seve...

Jul 2025 40615523
Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography.

OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Res...

Jul 2025 40615781
Advancing breast cancer prediction using blockchain-secured hybrid genetic algorithm.

Feature selection using evolutionary algorithms-a well-liked technique for choosing pertinent charac...

Jul 2025 40614518
On herbarium specimen images and artificial intelligence.

Digitized herbarium specimens are increasingly used to train artificial intelligence (AI) models in ...

Jul 2025 40607648
Deep Learning Discovers New Morphological Features while Predicting Genetic Alterations from Histopathology of Papillary Thyroid Carcinoma.

Papillary thyroid carcinoma (PTC) is the most common malignant tumor of the endocrine system. muta...

Jul 2025 40607934
A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system.

Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource...

Jul 2025 40610592
A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging.

RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning fra...

Jul 2025 40610298
Differential Diagnosis of Papillary Thyroid Carcinoma and Nodular Goiter With Papillary Hyperplasia Using Hyperspectral Imaging Technology.

Papillary thyroid carcinoma (PTC) and nodular goiter with papillary hyperplasia (NGPH) share similar...

Jul 2025 40603107
Deep learning deciphers the related role of master regulators and G-quadruplexes in tissue specification.

G-quadruplexes (GQs) are non-canonical DNA structures encoded by G-flipons with potential roles in g...

Jul 2025 40603503
Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning.

Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder, yet its underlying molecular m...

Jul 2025 40604047
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