Pathology

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

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Deep learning for fetal inflammatory response diagnosis in the umbilical cord.

INTRODUCTION: Inflammation of the umbilical cord can be seen as a result of ascending intrauterine i...

Exploring hypoxia driven subtypes of pulmonary arterial hypertension through transcriptomics single cell sequencing and machine learning.

Pulmonary arterial hypertension (PAH) is a progressive cardiovascular disease characterized by eleva...

Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging.

Breast cancer is the most prevalent cancer and the second cause of cancer related death among women ...

A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection.

Autism Spectrum Disorder (ASD) affects approximately [Formula: see text] of the global population an...

Adaptive lift chiller units fault diagnosis model based on machine learning.

The early minor faults generated by the chiller in operation are not easy to perceive, and the sever...

Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy.

Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of ...

Impact of CT reconstruction algorithms on pericoronary and epicardial adipose tissue attenuation.

OBJECTIVE: This study aims to investigate the impact of adaptive statistical iterative reconstructio...

Development and validation of an interpretable machine learning model for diagnosing pathologic complete response in breast cancer.

BACKGROUND: Pathologic complete response (pCR) following neoadjuvant chemotherapy (NACT) is a critic...

ConnectomeAE: Multimodal brain connectome-based dual-branch autoencoder and its application in the diagnosis of brain diseases.

BACKGROUND AND OBJECTIVE: Exploring the dependencies between multimodal brain networks and integrati...

Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays.

Osteopenia is a bone disorder that causes low bone density and affects millions of people worldwide....

Frustration in physiology and molecular medicine.

Molecules provide the ultimate language in terms of which physiology and pathology must be understoo...

Challenges and Opportunities: Nanomaterials in Epilepsy Diagnosis.

Epilepsy is a common neurological disorder characterized by a significant rate of disability. Accura...

Single Molecule Localization Super-resolution Dataset for Deep Learning with Paired Low-resolution Images.

Deep learning super-resolution microscopy has advanced rapidly in recent years. Super-resolution ima...

Host Biomarkers and Antibiotic Tissue Penetration in Sepsis: Insights from Moxifloxacin.

BACKGROUND AND OBJECTIVE: Sepsis-induced pathophysiological changes may lead to pharmacokinetic vari...

The association of trimethylamine N-oxide with diabetic retinopathy Pathology: Insights from network toxicology and molecular docking analysis.

Trimethylamine N-oxide (TMAO), a gut microbiota-derived metabolite, has emerged as a potential contr...

A comprehensive image dataset for accurate diagnosis of betel leaf diseases using artificial intelligence in plant pathology.

In South Asian countries, agriculture is a crucial employment field, and a remarkable number of peop...

Deep learning for automated segmentation of brain edema in meningioma after radiosurgery.

BACKGROUND: Although gamma Knife radiosurgery (GKRS) is commonly used to treat benign brain tumors, ...

Deep learning-aided segmentation combined with finite element analysis reveals a more natural biomechanic of dinosaur fossil.

Finite element analysis (FEA), a biomechanical simulation technique capable of providing direct mech...

Tissue Clutter Filtering Methods in Ultrasound Localization Microscopy Based on Complex-Valued Networks and Knowledge Distillation.

Ultrasound localization microscopy (ULM) is a blood flow imaging technique that utilizes micrometer-...

Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging.

Resolving arterial flows is essential for understanding cardiovascular pathologies, improving diagno...

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