Pathology

Performance of AI Chatbots in Preliminary Diagnosis of Maxillofacial Pathologies.

BACKGROUND Artificial intelligence (AI) has shown significant potential in transforming healthcare by enabling accurate, data-driven decision-making. This study compared the performance of the AI chatbots ChatGPT, Grok, Blackbox, and Claude AI in preliminary diagnosis of maxillofacial pathologies. MATERIAL AND METHODS This study included 23 patients (9 cysts, 14 neoplasms) who underwent operations...

Transfer Learning With Adam Gold Rush Optimization for Endometrial Disease Classification Using Histopathological Image.

Uterine cancer also referred to as endometrial cancer, which significantly impacts the female reproductive organs. The early diagnosis increases the survival rates and also prevents the progression of endometrial cancer thereby, the novel Transfer Learning based Convolution Neural Network with Adam Gold Rush Optimization (TL-CNN_AdGRO) is proposed to classify endometrial cancer using histopatholog...

Assessment of a Deep Learning Model Trained on Permanent Pathology for the Classification of Squamous Cell Carcinoma in Mohs Frozen Sections: Lessons Learned.

BACKGROUND: There is a scarcity of artificial intelligence models trained on frozen pathology. One way to expand the clinical utility of models traine...

A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images.

Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detect...

Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis.

Lymph node micro-metastasis represents the initial stage of breast cancer spread or metastasis. However, the limited size of these hidden lesions rest...

Machine learning-based prediction model for post-ERCP cholangitis in patients with malignant biliary obstruction: a retrospective multicenter study.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatment for patients with unresectable malignant bilia...

Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection.

Artificial intelligence models using digital histopathology slides stained with hematoxylin and eosin offer promising, tissue-preserving diagnostic to...

Deep learning for giant cell arteritis diagnosis on temporal artery biopsy.

OBJECTIVES: Giant Cell Arteritis (GCA) is a vasculitis affecting large and medium-caliber arteries, requiring early and accurate diagnosis to prevent ...

Deep Learning-Based Classification of NSCLC-Derived Extracellular Vesicles Using AFM Nanomechanical Signatures.

Nonsmall cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, with liquid biopsy emerging as a promising tool for noninvasive...

A Meta-Analysis of the Diagnosis of Condylar and Mandibular Fractures Based on 3-dimensional Imaging and Artificial Intelligence.

This article aims to review the literature, study the current situation of using 3D images and artificial intelligence-assisted methods to improve the...

Deep learning 3D super-resolution radiomics model based on Gd-enhanced MRI for improving preoperative prediction of HCC pathological grading.

PURPOSE: The histological grade of hepatocellular carcinoma (HCC) is an important factor associated with early tumor recurrence and prognosis after su...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication, mainly through vaccination and proactive screeni...

ssEM Image Restoration via Diffusion Models with Multi-output Joint Strategy for Noise Estimation.

Serial section electron microscopy (ssEM) is a pivotal technique for investigating neuronal connections and brain microstructures. However, imperfect ...

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home.

The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent demand for molecular testing at home. However, the...

Artificial Intelligence in Gynecologic Cytology.

BACKGROUND: Cervical cancer is the fourth most common cancer in women globally with highest incidence and mortality identified in less developed and m...

Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.

Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicating quality control and clinical predictability. Con...

Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.

Collection of systemic tissues from influenza A virus (IAV)-infected ferrets at a fixed timepoint post-inoculation represents a frequent component of ...

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization...

Efficient Ultrasound Breast Cancer Detection with DMFormer: A Dynamic Multiscale Fusion Transformer.

OBJECTIVE: To develop an advanced deep learning model for accurate differentiation between benign and malignant masses in ultrasound breast cancer scr...

From combination early detection to multicancer testing: shifting cancer care toward proactive prevention and interception.

Identifying the presence of tumors at a very early stage or deciphering the process underlying their development can enable the interception of pro-ma...