Pathology

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

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Integrating machine learning and retrospective cohort to explore the effects of AEDs on the prognosis of LGG and identify related molecular targets.

Antiepileptic drugs (AEDs) were frequently employed in glioma patients, especially those with low-gr...

Jun 2026 42298735
Deep Learning-Driven 3D Histopathology Method: A Pipeline for Cellular-Resolution Myocarditis Analysis.

Infiltrative cardiovascular diseases are characterized by complex spatial distributions of abnormal ...

(2)
Jun 2026 42294766
Machine learning in the diagnosis of Hirschsprung disease: a systematic review and meta-analysis.

PURPOSE: To evaluate current evidence on machine learning (ML) for the diagnosis of Hirschsprung dis...

Jun 2026 42295411
Deep learning-based automated detection of oral squamous cell carcinoma in histopathological images: a comparative study of five CNN architectures.

Oral squamous cell carcinoma (OSCC) is the most common malignancy of the oral cavity, and early diag...

Jun 2026 42295529
A radio-pathological fusion model for predicting PD-L1 expression and immunotherapy response in non-small cell lung cancer.

OBJECTIVE: This study aims to construct a multimodal fusion model (FM) based on CT and hematoxylin a...

Jun 2026 42295571
E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

In our previous study, a home-built handheld OCT system was used to collect OCT images in vocal cord...

(1)
Jun 2026 42295933
An Aptamer-Engineered Phenotyping System for Extracellular Vesicles Based on Honeycomb-like Melamine-Formaldehyde Microspheres and Carbon Dot Nanozymes.

Molecular phenotyping of extracellular vesicles (EVs) holds promise for noninvasive cancer diagnosis...

(2)
Jun 2026 42296185
A myeloid immunosuppressive phenotype defines primary refractoriness to atezolizumab Plus bevacizumab in hepatocellular caarcinoma.

BACKGROUND: Despite improved outcomes with atezolizumab plus bevacizumab (A+B) in hepatocellular car...

Jun 2026 42297215
Multimodal multitask deep learning for grading management system in non-small cell lung cancer.

Accurate histologic subtyping, tumor node metastasis classification (TNM) staging and prognostic ass...

Jun 2026 42297835
Robust artificial intelligence frameworks for lung cancer subtyping and malignancy detection on thoracic CT.

Accurate characterization of thoracic malignancies on computed tomography (CT) remains challenging b...

(5)
Jun 2026 42297881
Effectiveness of Artificial Intelligence in the Automatic Diagnosis of Lesions Detected in Panoramic Radiographs.

This study was aimed at evaluating the effectiveness of artificial intelligence (AI) in detecting ja...

(5)
Jun 2026 42298092
Integrating ultrasound-CT-MR for preoperative multi-task prediction in ovarian cancer: achieving diagnostic parity with multidisciplinary team consensus.

Ovarian cancer, with high mortality, demands accurate preoperative assessment to guide individualize...

Jun 2026 42298142
Deep learning analysis of breast cancer histology predicts ATM pathogenic variant carrier status.

We performed deep learning analysis of histopathological whole-slide (full-face) images (WSI) to pre...

Jun 2026 42298170
Non-invasive imaging diagnostic techniques in metabolic dysfunction-associated steatotic liver disease: a roadmap for clinicians.

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed nonalcoholic fat...

Jun 2026 42298258
Multiscale Biophysical Characterization of Ultra-Short Peptide Hydrogels.

Ultra-short peptide (USP) hydrogels have emerged as a simple yet innovative class of biomaterial. Sm...

Jun 2026 42218801
Artificial intelligence in pathology: a framework for preserving brain capital in the diagnostic apex.

AIM: To present a five-criterion calibration framework for evaluating artificial intelligence (AI) t...

(2)
Jun 2026 42286907
An advanced ensemble deep learning framework for accurate multi-class lung cancer classification using IUNet++ and MResNext.

Early and precise diagnosis is crucial for increasing patient survival because lung cancer is still ...

Jun 2026 42302349
MICLEAR: Intelligent molecular cytology for intraoperative margin assessment of pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly mortal cancer whose only potentially curative tr...

Jun 2026 42335604
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