Pathology

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

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Radiomics for lung cancer diagnosis, management, and future prospects.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with its early detectio...

Future prospects of deep learning in esophageal cancer diagnosis and clinical decision support (Review).

Esophageal cancer (EC) is one of the leading causes of cancer-related mortality worldwide, still fac...

Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy.

Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...

Deep Learning Methods in the Imaging of Hepatic and Pancreaticobiliary Diseases.

Reports indicate a growing role for artificial intelligence (AI) in the evaluation of pancreaticobil...

AI-Driven Information for Relatives of Patients with Malignant Middle Cerebral Artery Infarction: A Preliminary Validation Study Using GPT-4o.

This study examines GPT-4o's ability to communicate effectively with relatives of patients undergoi...

Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is grow...

Characterization of fibrotic liver tissue microstructure for predicting shear wave speed variability: a machine-learning-based computational study.

This study aimed to establish a link between the microstructure of simulated fibrotic liver tissues ...

CWMS-GAN: A small-sample bearing fault diagnosis method based on continuous wavelet transform and multi-size kernel attention mechanism.

In industrial production, obtaining sufficient bearing fault signals is often extremely difficult, l...

The role of machine learning in predicting titanium dioxide nanoparticles induced pulmonary pathology using transcriptomic biomarkers.

This study explores the application of machine learning (ML) in identifying transcriptomic changes a...

Identification of hub genes for the diagnosis associated with heart failure using multiple cell death patterns.

AIMS: Heart failure (HF) is an important public health problem worldwide, and programmed cell death ...

μGlia-Flow, an automatic workflow for microglia segmentation and classification.

BACKGROUND: Microglia are important immune cells in the central nervous system, playing a key role i...

CLIC1 and IFITM2 expression in brain tissue correlates with cognitive impairment via immune dysregulation in sepsis and Alzheimer's disease.

BACKGROUND: Sepsis, a life-threatening condition driven by dysregulated host responses to infection,...

Artificial Intelligence in Diagnosis of Heart Failure.

Heart failure (HF) is a complex and varied condition that affects over 50 million people worldwide. ...

Comparison of ChatGPT's Diagnostic and Management Accuracy of Foot and Ankle Bone-Related Pathologies to Orthopaedic Surgeons.

INTRODUCTION: The steep rise in utilization of large language model chatbots, such as ChatGPT, has s...

Artificial intelligence-driven integration of multi-omics and radiomics: A new hope for precision cancer diagnosis and prognosis.

Despite advances in cancer diagnosis and treatment, the disease remains a major health challenge. In...

DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation.

Accurate segmentation of pathology images plays a crucial role in digital pathology workflow. Howeve...

Towards accurate differential diagnosis with large language models.

A comprehensive differential diagnosis is a cornerstone of medical care that is often reached throug...

The Role of Artificial Intelligence in the Diagnosis and Management of Rheumatoid Arthritis.

Artificial intelligence has emerged as a transformative tool in healthcare, offering capabilities s...

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