Pathology

CMAF-Net: cross-modal attention fusion with information-theoretic regularization for imbalanced breast cancer histopathology.

Breast cancer diagnosis from histopathology images remains challenging due to two intertwined factor...

A Review on Image Processing and Fractal Analysis in Oral Potentially Malignant Disorders.

AIM: The clinical evaluation of patients with oral potentially malignant disorders is primarily base...

Robot-assisted MRI/US transperineal target prostate biopsy with Biobot Mona Lisa 2.0: first experience in Europe.

INTRODUCTION: The Mona Lisa 2.0 robotic platform integrates MRI/ultrasound fusion, AI-based prostate...

Machine learning methods to evaluate fluctuation in oxygenation and peripheral tissue temperature, in sacral and trochanteric area under pressure in healthy subjects and institutionalized patients. A prospective non-randomized trial.

AIM: To evaluate the longitudinal changes observed over a period of 120 min in patterns of tissue pe...

What practicing pathologists and oncologists should know about the new computational pathology-based companion diagnostic tools.

The integration of artificial intelligence into pathology is transforming the assessment of histolog...

Comment on "Artificial Intelligence for predicting post-excision recurrence and malignant progression in oral potentially malignant disorders: a retrospective cohort study".

Phosphoenolpyruvate carboxykinase 2 as a prognostic biomarker: expression and clinical significance in Group 3 and Group 4 medulloblastoma.

PURPOSE: Despite Phosphoenolpyruvate carboxykinase 2 (PCK2) has attracted growing attention as a pot...

The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.

Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have tra...

PAST, PRESENT and FUTURE OF LUPUS NEPHRITIS.

INTRODUCTION: Our objective is to delineate the evolution of lupus nephritis (LN) histological class...

Leveraging infarct topography for early warning: a robust model for predicting malignant cerebral edema after endovascular treatment in acute ischemic stroke.

BACKGROUND: The early prediction of malignant cerebral edema (MCE) following endovascular therapy fo...

TRKB-based signature identifies high-risk squamous cell carcinoma cases and TRKB blockade reprograms tumor and stromal cells toward suppressive phenotypes.

BACKGROUND: Cutaneous squamous cell carcinoma (cSCC) is a common age-related cancer, with a subset p...

Human versus artificial intelligence in oral pathology diagnosis: a comparative study of ChatGPT, Grok, and MANUS.

Artificial intelligence (AI) integration in diagnostic medicine has advanced accuracy and efficiency...

Inference of drowning sites of cases in the Pearl river based on microbial community profiling and random forest algorithm.

Accurate inference of drowning sites remains a critical challenge in forensic investigations, partic...

From conventional screening to self-driving discovery: Organ-on-Chip platforms as engines for AI-guided nanomedicine.

Nanoparticles have become an essential platform for next-generation drug delivery and therapeutic de...

Integrative bioinformatics and machine learning combined with experimental validation in a doxorubicin-induced model identify BACH2, NXPH4, CD1E, and LIF as sodium overload-related molecular signatures in dilated cardiomyopathy.

INTRODUCTION: Dilated cardiomyopathy (DCM) is a leading cause of heart failure and remains a major c...

EASDnet: Empowering human-centered evidence-based medicine through an evidence and attention-based spatial disparity network for discriminative colorectal cancer histopathological screening and attribution.

PURPOSE: Accurate preoperative staging of colorectal cancer is critical to guide treatment decisions...

Salvianolic acid C attenuates liver fibrosis and inhibites hepatic stellate cell activation by targeting FAP/TβRI/SMAD axis.

BACKGROUND: Liver fibrosis remains a major clinical challenge with limited effective therapeutic opt...

Subcutaneous tissue structural feature identification using unsupervised machine learning.

Accurate quantification of the structural features of subcutaneous (SC) tissue is essential for unde...

Vascularisation in 3D bioprinted models: emerging solutions engineering functional tissues and tumour models.

Three-dimensional (3D) bioprinting enables the fabrication of tissues with controlled architecture a...

An AI-based IHC quantification technique for assisting in the differentiation of MCL from CLL/SLL.

This study explores the application of artificial intelligence technology for the quantitative analy...

Deep Learning on Histology Images for Differentiating Fibro-osseous Lesions of the Jaw.

Fibrous dysplasia (FD), cemento-ossifying fibroma (COF), and cemento-osseous dysplasia (COD) are fib...