Pathology

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

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Multimodal integration using a machine learning approach facilitates risk stratification in HR+/HER2- breast cancer.

Hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) breast can...

Modernizing Neuro-Oncology: The Impact of Imaging, Liquid Biopsies, and AI on Diagnosis and Treatment.

Advances in neuro-oncology have transformed the diagnosis and management of brain tumors, which are ...

A large histological images dataset of gastric cancer with tumour microenvironment annotation for AI.

Gastric cancer (GC) is the third leading cause of cancer death worldwide. Its clinical course varies...

Artificial intelligence and machine learning in cell-free-DNA-based diagnostics.

The discovery of circulating fetal and tumor cell-free DNA (cfDNA) molecules in plasma has opened up...

A data driven approach for soft tissue biomarker identification linked to Chiari-like malformation and syringomyelia.

Canine Chiari-like malformation (CM) is a neuroanatomical condition associated with conformational c...

Multi-modal learning-based algae phyla identification using image and particle modalities.

Algal blooms in freshwater, which are exacerbated by urbanization and climate change, pose significa...

Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence-Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model.

PURPOSE: To investigate the feasibility of a robotic system with artificial intelligence-based lesio...

Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection.

The most deadly type of skin cancer is melanoma. A visual examination does not provide an accurate d...

Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision.

INTRODUCTION: Diabetic nephropathy (DN) is a common diabetes-related complication with unclear under...

Development of metastasis and survival prediction model of luminal and non-luminal breast cancer with weakly supervised learning based on pathomics.

OBJECTIVE: Breast cancer stands as the most prevalent form of cancer among women globally. This hete...

Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis - a systematic review.

INTRODUCTION: Magnetic resonance imaging (MRI) is conventionally used for the detection and diagnosi...

Challenges in standardizing preimplantation kidney biopsy assessments and the potential of AI-Driven solutions.

PURPOSE OF REVIEW: This review explores the variability in preimplantation kidney biopsy processing ...

Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

BACKGROUND: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with ...

Deep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study.

BACKGROUND: Accurate differentiation between benign and malignant pancreatic lesions is critical for...

Machine learning classification and biochemical characteristics in the real-time diagnosis of gastric adenocarcinoma using Raman spectroscopy.

This study aimed to identify biomolecular differences between benign gastric tissues (gastritis/inte...

The Role of Artificial Intelligence for Advanced Endoscopy.

Artificial intelligence (AI) application in gastroenterology has grown in the last decade and contin...

Role of Artificial Intelligence in the Detection and Management of Premalignant and Malignant Lesions of the Esophagus and Stomach.

The advent of artificial intelligence (AI) and deep learning algorithms, particularly convolutional ...

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