Pathology

Mitochondrial energy metabolism-associated Predictive model constriction for coronary artery disease(CAD) of acute myocardial infarction(AMI) patients via integrative bioinformatic analysis.

Coronary artery disease (CAD) is a leading cause of acute myocardial infarction (AMI), a condition c...

Progress in constitutive modeling of arterial wall tissue mechanics: from theoretical frameworks to clinical application.

Cardiovascular disease (CVD) is a leading cause of mortality worldwide, and the mechanical behavior ...

An interpretable model based on weakly supervised learning for uterine smooth muscle tumor diagnosis: A multi-center study.

Uterine smooth muscle tumors (USMTs) are the most common tumors of the female reproductive system, b...

A filter-level explainability framework for CNNs in histopathology image analysis.

Convolutional neural networks (CNNs) have achieved remarkable accuracy in histopathology image class...

NLRP1 as a Novel Pyroptosis Biomarker in Irreversible Pulpitis: A Laboratory Investigation and Animal Model Study.

AIM: Irreversible pulpitis poses a significant clinical burden due to progressive inflammatory pulp ...

Editorial for "Deep Learning for Differentiating Benign From Malignant Bile Duct Dilation on MRCP: Development and Prospective Evaluation of an Xception-Logistic Regression Ensemble Model".

[Artificial intelligence in diagnostics-a pathology perspective].

The increasing complexity and individualization of oncologic diagnostics and therapy present new cha...

CLIP-Guided Generative network for pathology nuclei image augmentation.

Nuclei segmentation and classification play a crucial role in the quantitative analysis of computati...

Multi-center-validated machine learning model for cervical cancer based on human papillomavirus genotyping results.

OBJECTIVE: Cervical cancer remains a leading cause of gynecologic cancer-related mortality worldwide...

Use of gadolinium-based contrast agents in head and neck cancer diagnosis, staging, and monitoring: current applications and future perspectives.

Gadolinium-based contrast agents (GBCAs) have been fundamental to head and neck cancer (HNC) imaging...

Optimized data augmentation for osteosarcoma detection in deep and lightweight networks.

Osteosarcoma (Ost) is an extremely aggressive primary bone malignancy that mostly occurs among child...

Advances in endometrial cancer screening: a comprehensive review of current methods and emerging technologies.

Endometrial cancer represents a major global health concern, with rising incidence particularly in d...

Deep learning discriminates thymic epithelial tumors' histological subtypes using digital pathology.

BACKGROUND: Thymic epithelial tumors (TETs) are rare malignancies that pose significant diagnostic c...

Machine Learning for diagnosis of malignant thyroid nodules based on thyroid ultrasound: Systematic review and meta-analysis of studies with external datasets.

INTRODUCTION: Optimizing the diagnostic approach to thyroid nodules remains a crucial challenge. Ult...

Accelerating Prostate Cancer Detection Through Histopathological Image Analysis Using Artificial Intelligence.

Prostate cancer is a prevalent and serious health concern, ranking among the most frequently diagnos...

Development of Automated High-Throughput Digital Microscopy With Deep Learning for Enhanced Blood Smear Imaging.

A microscope is essential in scientific and medical research, enabling the magnification of specimen...

Impact of an autonomous delivery robot on sample turnaround time in a clinical laboratory: an early evaluation of first implementation.

OBJECTIVES: The aim of this study was to evaluate the impact of introducing an autonomous courier in...

Modern integrative prostate cancer diagnostics.

PURPOSE OF REVIEW: To review contemporary applications, performance, and implementation challenges o...

A Simple Laboratory-based Machine Learning Model Accurately Predicts Advanced Liver Fibrosis in Metabolic Dysfunction-associated Steatotic Liver Disease Patients.

BACKGROUND/AIM: Metabolic dysfunction-associated steatotic liver disease (MASLD) is often silent and...

Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician's Guide to the Evolving Landscape.

Artificial intelligence (AI) is rapidly reshaping gynecologic oncology across the continuum of care....

An Exosome-Based Liquid Biopsy for the Detection of Early-Onset Colorectal Cancer: The ENCODER Multicenter Study.

BACKGROUND & AIMS: The incidence of early-onset colorectal cancer (EOCRC; diagnosed before age 50 ye...