Pathology

Establishing a comprehensive artificial intelligence lifecycle framework for laboratory medicine and pathology: A series introduction.

OBJECTIVE: Despite exponential growth in artificial intelligence (AI) research for laboratory medici...

Large-scale deep learning for metastasis detection in pathology reports.

OBJECTIVES: No existing algorithm can reliably identify metastasis from pathology reports across mul...

Management of mandibular infantile desmoid fibromatosis: A pediatric case report.

INTRODUCTION: Infantile desmoid fibromatosis (IDF) is a rare, benign soft tissue tumor, with locally...

Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis.

BACKGROUND: Surgeons often face challenges in distinguishing between benign and malignant follicular...

Screening and investigating the regulatory mechanisms of oxidative stress-related biomarkers in thoracic aortic aneurysms.

Excess reactive oxygen species leading to oxidative stress has been identified as a significant fact...

Three-dimensional digital quantitative analysis of periodontal and peri-implant phenotype-A narrative review.

3D digital evaluation of the periodontal and peri-implant tissue, including CBCT, intraoral scanning...

SPP1 promotes malignant characteristics and drug resistance in hepatocellular carcinoma by activating fatty acid metabolic pathway.

Hepatocellular carcinoma (HCC) progression and prognosis are influenced by various molecular markers...

Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant.

BACKGROUND: Heart transplant rejection, particularly acute cellular rejection (ACR), remains a criti...

FCRNet: Fast Fourier convolutional residual network for ventilator bearing fault diagnosis.

This study presents FCRNet, a Fast Fourier Convolution Residual Network, tailored for fault diagnosi...

Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer.

BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy ...

Automatic fluorescence microscopic image analyzer: a novel AI-based tool for early diagnosing superficial fungal infections.

Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics.

Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understandin...

Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations.

Super-resolution imaging has emerged as a rapidly advancing field in diagnostic ultrasound. Ultrasou...

An overview of reliable and representative DVC measurements for musculoskeletal tissues.

Musculoskeletal tissues present complex hierarchical structures and mechanical heterogeneity across ...

TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway.

Intervertebral disc degeneration (IDD), a prevalent spinal condition linked to low back pain, has su...

Recent advancement in endoscopic diagnosis for risk stratification of gastric cancer.

Approximately 90% of cases of gastric cancer (GC) are caused by Helicobacter pylori infection, and s...

Decoding tissue complexity: multiscale mapping of chemistry-structure-function relationships through advanced visualization technologies.

Comprehensively acquiring biological tissue information is pivotal for advancing our understanding o...

Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform.

Accurate nuclei segmentation and classification in histology images are critical for cancer detectio...

Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms.

Identifying mitosis is crucial for cancer diagnosis, but accurate detection remains difficult becaus...

Machine learning-based prediction model for post-ERCP cholangitis in patients with malignant biliary obstruction: a retrospective multicenter study.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatm...

A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography.

BACKGROUND: In most medical centers, particularly in primary hospitals, non-contrast computed tomogr...