Pathology

Artificial intelligence in surgical pathology - Where do we stand, where do we go?

Surgical and neuropathologists continuously search for new and disease-specific features, such as in...

Development of deep learning-based mobile application for the identification of Coccidia species in pigs using microscopic images.

Coccidiosis is a gastrointestinal parasitic disease caused by different species of Eimeria and Isosp...

Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens.

The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained ...

Breath-hold diffusion-weighted MR imaging (DWI) using deep learning reconstruction: Comparison with navigator triggered DWI in patients with malignant liver tumors.

INTRODUCTION: This study investigated the feasibility of single breath-hold (BH) diffusion-weighted ...

Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning.

BACKGROUND: In breast cancer, several gene expression assays have been developed to provide a more p...

Past, present, and future of electrical impedance tomography and myography for medical applications: a scoping review.

This scoping review summarizes two emerging electrical impedance technologies: electrical impedance ...

Weakly supervised learning in thymoma histopathology classification: an interpretable approach.

INTRODUCTION: Thymoma classification is challenging due to its diverse morphology. Accurate classifi...

Editorial: Spotlighting the interaction network of hub genes, molecules, and cells in the tumor immune microenvironment (TIME) and their contribution to malignant progression.

Rhabdomyosarcoma Classification: Refining Our Understanding.

Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children, representing approximatel...

Digital Pathology-based Artificial Intelligence Biomarker Validation in Metastatic Prostate Cancer.

BACKGROUND AND OBJECTIVE: Owing to the expansion of treatment options for metastatic hormone-sensiti...

Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection.

BACKGROUND AND OBJECTIVES: Oral cancer is a global health challenge. The disease can be successfully...

MultiSCCHisto-Net-KD: A deep network for multi-organ explainable squamous cell carcinoma diagnosis with knowledge distillation.

Squamous cell carcinoma is a prevalent cancer type that affects various organs in the human body. Ma...

Development and validation of a deep learning model for morphological assessment of myeloproliferative neoplasms using clinical data and digital pathology.

The subjectivity of morphological assessment and the overlapping pathological features of different ...

Diagnosis of infections using artificial intelligence techniques versus standard microscopy in a reference laboratory.

Diagnosing malaria using standard techniques is time-consuming. With limited staffing in many labora...

Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids.

UNLABELLED: Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth...

Enhancing Thyroid Pathology With Artificial Intelligence: Automated Data Extraction From Electronic Health Reports Using RUBY.

PURPOSE: Thyroid nodules are common in the general population, and assessing their malignancy risk i...

MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis.

There is no doubt that advanced artificial intelligence models and high quality data are the keys to...

A programmable, open-source robot that scratches cultured tissues to investigate cell migration, healing, and tissue sculpting.

Despite the widespread popularity of the "scratch assay," where a pipette is dragged manually throug...

A Pathological Diagnosis Method for Fever of Unknown Origin Based on Multipath Hierarchical Classification: Model Design and Validation.

BACKGROUND: Fever of unknown origin (FUO) is a significant challenge for the medical community due t...

Neurodegeneration: 2024 update.

This review highlights a collection of both diverse and highly impactful studies published in the pr...

High-throughput platform for label-free sorting of 3D spheroids using deep learning.

End-stage liver diseases have an increasing impact worldwide, exacerbated by the shortage of transpl...