Pathology

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

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Artificial Intelligence in Traditional Chinese Medicine: Multimodal Fusion and Machine Learning for Enhanced Diagnosis and Treatment Efficacy.

Artificial intelligence (AI) serves as a key technology in global industrial transformation and tech...

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare...

Spontaneous Surface Charging and Janus Nature of the Hexagonal Boron Nitride-Water Interface.

Boron, nitrogen, and carbon are neighbors in the periodic table and can form strikingly similar twin...

Unveiling Twist Domains in Monolayer MoS through 4D-STEM and Unsupervised Machine Learning.

Dichalcogenides, such as molybdenum disulfide (MoS), are being studied extensively due to their 2D f...

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic ineq...

Current applications of deep learning in vertebral fracture diagnosis.

Deep learning is a machine learning method that mimics neural networks to build decision-making mode...

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous im...

Smartphone video-based early diagnosis of blepharospasm using dual cross-attention modeling enhanced by facial pose estimation.

Blepharospasm is a focal dystonia characterized by involuntary eyelid contractions that impair visio...

Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images.

Kidney cancer is a leading cause of cancer-related mortality, with renal cell carcinoma (RCC) being ...

Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy.

Deep learning has significantly improved the performance of single-molecule localization microscopy ...

UFPF: A Universal Feature Perception Framework for Microscopic Hyperspectral Images.

In recent years, deep learning has shown immense promise in advancing medical hyperspectral imaging ...

Hippocampal architecture viewed through the eyes of methodological development.

This review focuses on the structural organization of the hippocampus and how our understanding of i...

A novel lung cancer diagnosis model using hybrid convolution (2D/3D)-based adaptive DenseUnet with attention mechanism.

Existing Lung Cancer Diagnosis (LCD) models have difficulty in detecting early-stage lung cancer due...

The state of the art in artificial intelligence and digital pathology in prostate cancer.

Prostate cancer is among the most common cancers worldwide, with ~1.5 million new diagnoses globally...

Gene expression cluster differences and molecular correlation with the STING pathway in orbital MALT lymphoma and orbital IgG4-related eye disease.

PURPOSE: Mucosa-associated lymphoid tissue (MALT) lymphoma in the orbital region and IgG4-related op...

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.

Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot...

Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.

Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge f...

Recent Advances in Non-Planar Collectors for Melt Electrowriting (MEW): Creating Physiologically Relevant Scaffold Structures for Tissue Engineering.

Melt electrowriting (MEW) is an advanced additive manufacturing technique that offers unprecedented ...

VLM-CPL: Consensus Pseudo-Labels from Vision-Language Models for Annotation-Free Pathological Image Classification.

Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep...

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