Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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KAFSTExp: Kernel Adaptive Filtering with Nystrom Approximation for Predicting Spatial Gene Expression from Histology Image.

Spatial transcriptomics (ST), known as an expensive medical examination, plays an important role in ...

Unraveling Liver Cirrhosis: Bridging Pathophysiology to Innovative Therapeutics.

Liver cirrhosis is a complex and progressive condition resulting from sustained liver injury and chr...

[Tips and tricks for the cytological management of cysts].

Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. ...

High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images.

Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival ...

Integrating genomic and pathological characteristics to enhance prognostic precision in advanced NSCLC.

Although immunotherapy combined with chemotherapy (ICT) is the standard treatment for advanced non-s...

Advances in renal cancer: diagnosis, treatment, and emerging technologies.

This review provides a comprehensive overview of current practices and recent advancements in the di...

EXPRESS: Liquid Biopsy in Breast Cancer Management: From Circulating Biomarkers to Clinical Breakthroughs.

Breast cancer continues to be a major global health concern, particularly for women, despite improve...

Applications of machine learning in glaucoma diagnosis based on tabular data: a systematic review.

Glaucoma is a leading cause of irreversible blindness, necessitating early and accurate diagnosis to...

Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Skin cancer has one of the highest incidence rates among malignancies. A shortage of clinical expert...

Clinical decision support for vestibular diagnosis: large-scale machine learning with lived experience coaching.

Diagnosing vestibular disorders remains challenging due to complex symptoms and extensive history-ta...

Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment.

Mastering microsurgical skills is essential for neurosurgical trainees. Video-based analysis of targ...

Technological advancements in sports injury: diagnosis and treatment.

Sports injuries are a significant concern for athletes at all levels of competition, ranging from ac...

GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction During Routine Tumor Profiling.

A subset of cancers presents with unclear or potentially incorrect primary histopathologic diagnoses...

A Novel Deep Reinforcement Learning Approach for Dynamic Proportional-Integral Control in Scanning Probe Microscopy.

Scanning Probe Microscopy (SPM) measurements often encounter challenges due to the nonlinear and tim...

CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

BACKGROUND: The advent of single-cell RNA sequencing (scRNA-seq) has provided unprecedented insights...

Predicting ROS1 and ALK fusions in NSCLC from H&E slides with a two-step vision transformer approach.

Non-small cell lung cancer (NSCLC) is one of the deadliest and most prevalent cancers worldwide, wit...

Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopatholog...

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