Pathology

Classification of biliary strictures using real-time cholangioscopy artificial intelligence: the SMART-AI trial.

BACKGROUND: Sampling techniques have poor accuracy for classifying biliary strictures as benign or m...

Comprehensive Assessment of Artificial Intelligence as a Stand-alone tool for Cervical Cancer Screening Using a 50% Negative Cutoff Value.

PURPOSE: An emerging application of artificial intelligence (AI) in cervical cytology is its use as ...

Deep learning-driven recognition of panoramic tumor microenvironment features in H&E sections and its application.

The tumor microenvironment (TME), composed of tumor cells together with stromal cells, immune cells,...

Artificial intelligence in clinical oncology: Multimodal integration and translational development.

Artificial intelligence (AI) is rapidly reshaping clinical oncology, as cancer care increasingly rel...

Integration of advanced ultrasound techniques, radiomics, and artificial intelligence for improved diagnosis of cystic breast lesions.

Cystic breast lesions are commonly encountered on breast ultrasound, encompassing a spectrum from si...

Digital Enabled Diagnosis System for Mammogram Images Classification Using Machine Learning.

Breast tumor is the most commonly detected tumors and remain one of the leading causes of cancer-rel...

Computerized diagnosis of brain tumor using graph based CNN classification.

Magnetic resonance imaging (MRI) is essential in the accurate diagnosis of brain tumors so that soun...

Integrative assessment of sulfoxaflor effects on gene expression, reproduction, and behavior in the bumblebee Bombus impatiens.

Social insect pollinators, such as bumblebees, face increasing threats from environmental agrochemic...

Digital SERS Nanoprobe Immunoassay With Single-Particle Sensing Resolution for Detection of Pancreatic Cancer Biomarkers From Clinical Blood Samples.

Surface-enhanced Raman scattering (SERS) nanoprobe-based immunoassay is an emerging liquid biopsy mo...

A practical framework for super-resolution of mass spectrometry images via adaptation of deep learning models.

Achieving high spatial resolution is critical for revealing tissue-specific metabolite distributions...

Radiopathomic Graph Deep Learning for Multiscale Spatial-Contextual Modeling of Intratumoral Heterogeneity to Predict Breast Cancer Response to Neoadjuvant Therapy.

Purpose To develop an explainable radio-pathomic graph deep-learning (RPGDL) system for multiscale s...

Development of an Integrated Deep Learning Approach for Detecting Fetal Brain Abnormalities in Routine Second Trimester Ultrasound Scan: A Multicenter Study.

Purpose To develop and validate an anatomy-aware, two-stage, end-to-end deep learning (DL) pipeline ...

Integrated multi-omics and experimental validation for identifying novel biomarkers of acute myocardial infarction.

Acute myocardial infarction (AMI) remains a leading cause of morbidity and mortality, and early diag...

MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network.

Skin cancer has become a global public health issue. Dermoscopy is a routine diagnostic method; howe...

Identification of biomarkers for non-invasive diagnosis and risk stratification in prostate cancer using NMR-based metabolomics and machine learning.

The non-invasive diagnosis and risk stratification of prostate cancer (PCa) remain clinically challe...

Interpretative diagnostic model for neuroblastoma metastases using bone marrow cytology.

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART I.

Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (...

EFSUMB Guidelines on Multiparametric Ultrasound Thyroid Nodule Evaluation: PART II.

Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4...

SDS-CRISPR for Single-Nucleotide Variant Detection.

The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnosti...

Publicly available multimodal large language models for ocular surface infections: benchmarking against corneal specialists in triage, diagnosis and treatment.

BACKGROUND/AIMS: Ocular surface infections remain a major cause of visual loss worldwide, yet diagno...

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lun...