Pathology

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

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Showing 1975-1995 of 11,313 articles
Application of treatment response assessment maps (TRAMs), based on delayed-contrast MRI for radiomic characterization of breast lesions.

Dynamic contrast-enhanced (DCE) breast MRI is a highly sensitive modality for detecting breast cance...

Mar 2026 41787008
Differentiation of Benign and Malignant Cervical Lymph Nodes Using a Multi-Modal Ultrasound-Based Machine Learning Model with SHAP Interpretability.

OBJECTIVES: To evaluate the diagnostic value of a machine learning (ML) model based on multi-modal u...

Mar 2026 41784164
A framework for identifying the polyploid complex in Rorippa (Brassicaceae): combining trait evolution, herbarium records, and machine learning.

BACKGROUND AND AIMS: Species identification in polyploid plants remains challenging due to morpholog...

Mar 2026 41784169
Decomposition based curriculum-style self-training for source-free universal domain adaptation in computational pathology.

Computational pathology models serve as crucial tools for clinical tasks such as tissue typing, alle...

Mar 2026 41807903
Reflectance confocal microscopy in the management of lentigo maligna and lentigo maligna melanoma: a systematic review.

BACKGROUND: Lentigo maligna (LM) and lentigo maligna melanoma (LMM) are difficult to manage because ...

Mar 2026 41908627
Risk factors for postoperative recurrence of sinonasal inverted papilloma: a retrospective analysis of 171 cases.

BACKGROUND: Sinonasal inverted papilloma(SNIP) is a benign tumor with a potential of malignant trans...

Mar 2026 41778303
Magnification-independent breast cancer diagnosis using a GWO-enhanced vision transformer with multi-stage stain normalization.

Breast cancer diagnosis from histopathological images remains a critical yet challenging task due to...

Mar 2026 41781597
Prosta-omics: machine learning-driven TPSA prediction and molecular modeling of ASPM-inhibitors for prostate cancer treatment.

Prostate cancer exhibits complex transcriptional heterogeneity that underlies disease progression an...

Mar 2026 41781783
Performance of deep learning-based segmentation of soft tissue sarcoma by MRI sequence, tumor type and location.

OBJECTIVE: Soft tissue sarcomas (STS) are a rare and heterogeneous group of tumors that pose a signi...

Mar 2026 41776099
MAAR-Net: Multi-scale attention-assisted residual neural network for renal microvascular structure segmentation.

Renal disease represents a significant public health concern, with renal microvascular lesions playi...

Mar 2026 41779699
Precise estimation of tissue microstructure with hybrid graph transformer.

The accurate estimation of tissue microstructure requires a sufficient amount of Diffusion MRI (DMRI...

Mar 2026 41806520
Neoadjuvant Systemic Therapy in Kidney and Bladder Cancer: Current Evidence and Emerging Paradigms.

Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized ge...

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Mar 2026 41774881
Integrating machine learning of bulk and single cell RNA data to characterize immune mechanism of m6A related mitophagy genes in malignant gastric cancer.

BACKGROUND AND OBJECTIVE: Gastric cancer is a heterogeneous and complicated epithelial cancers. Chro...

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Mar 2026 41797008
Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in car...

Mar 2026 41780317
Minimum Clinically Achievable Dose for Detecting Liver Lesions Using Deep Learning Image Reconstruction: A Phantom and Patient Study.

RATIONALE AND OBJECTIVES: To investigate the performance of deep learning image reconstruction (DLIR...

Mar 2026 41781262
A Multiomic Liquid Biopsy for the Earlier Detection of Colorectal Cancer.

UNLABELLED: Timely diagnosis and intervention in colorectal cancer are critical to improving patient...

Mar 2026 41431387
Beyond BMI: Deep Learning Segmentation-Driven CT Reveals Body Composition Changes After Metabolic and Bariatric Surgery.

BACKGROUND: Body mass index (BMI) is the primary metric used to evaluate metabolic and bariatric sur...

Mar 2026 41773725
Deep learning ensemble models for CT-based differentiation of malignant and benign sacral bone tumors: development and evaluation.

OBJECTIVE: Radiologists often face challenges in differentiating benign from malignant sacral bone l...

Mar 2026 41774326
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