Pathology

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

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Acousto-Electric Conversion Fiber Networks via Regional Activation of Schwann Cell-Derived Exosomes for Neurogenic Bone Regeneration.

Neurogenic bone regeneration is essential for the effective restoration of bone tissue functionality...

Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury.

Spinal cord injury (SCI) is a debilitating neurological condition that severely impacts motor, senso...

Driven early detection of chronic kidney cancer disease based on machine learning technique.

In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal ...

Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods.

In complex geological environments, the morphology, orientation and distribution characteristics of ...

Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy.

OBJECTIVES: Renal biopsy is the gold standard for the diagnosis of glomerular diseases including mem...

Artificial intelligence-augmented ultrasound diagnosis of follicular-patterned thyroid neoplasms: a multicenter retrospective study.

BACKGROUND: Conventional diagnostic tools, including ultrasound, fine-needle aspiration cytology, an...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

A generative model uses healthy and diseased image pairs for pixel-level chest X-ray pathology localization.

Medical artificial intelligence (AI) offers potential for automatic pathological interpretation, but...

Deep Learning Applications in Lymphoma Imaging.

Lymphomas are a diverse group of disorders characterized by the clonal proliferation of lymphocytes....

Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model.

Artificial intelligence (AI) models based on pathological slides have great potential to assist path...

Colon cancer survival prediction from gland shapes within histology slides using deep learning.

This study investigates the application of deep learning techniques for segmenting glands in histopa...

Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning.

Pathologic myopia is a leading cause of visual impairment and blindness. While deep learning-based a...

A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma.

Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream g...

Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.

Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, wi...

Large language models in medical education: a comparative cross-platform evaluation in answering histological questions.

Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their...

Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography.

BACKGROUND: Pulmonary nodules seen by computed tomography (CT) can be benign or malignant, and early...

Development and validation of a prognostic model for predicting survival and immunotherapy benefits in melanoma based on metabolism-relevant genes.

Skin cutaneous melanoma (SKCM) is a fatal form of skin cancer. Metabolism-related genes (MRGs) compr...

Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pi...

Self-supervised data-driven approach defines pathological high-frequency oscillations in epilepsy.

OBJECTIVE: Interictal high-frequency oscillations (HFOs) are a promising neurophysiological biomarke...

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