Lung Cancer

Assessment Tools of Radiation Skin Injury in Head and Neck Cancer: A Narrative Review of Preclinical and Clinical Studies.

Radiation skin injury (RSI) is an unavoidable side effect of radiotherapy that delays the treatment ...

A lightweight CNN for enhanced non-small cell lung cancer classification using CT scan image.

Lung cancer is a leading cause of cancer-related mortality worldwide, and its early and accurate det...

Pathology Public Datasets for Artificial Intelligence: A Systematic Review.

Histopathology plays a crucial role in the diagnosis of many diseases, especially cancers, for which...

SMC4/SMAD3/NF-κB axis drives cervical cancer progression and radioresistance via DNA damage repair and immune modulation.

OBJECTIVE: Cervical cancer remains a significant global health burden, with the molecular determinan...

Prescription‑dose stratification improves deep learning‑based VMAT dose prediction in locally advanced NSCLC.

Volumetric-modulated arc therapy (VMAT) planning for locally advanced non-small cell lung cancer (NS...

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial.

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in m...

Multimodal Deep Learning-Based Screening of Degenerative Temporomandibular Joint Disease Using 2D Radiography: A Cost-Effective and Low-Radiation Approach.

OBJECTIVES: This study aimed to develop and preliminarily validate a multimodal deep learning model ...

Artificial intelligence for accurate tumor size assessment and non-invasive adenocarcinoma prediction in small-sized lung cancer.

INTRODUCTION: Accurate preoperative imaging is essential for improving the treatment of small lung c...

Nitenpyram promotes breast cancer progression via PARP1: Integration of multi-omics analyses with experimental validation.

Nitenpyram (NIT) is an insecticide used primarily for flea control in pets, especially cats and dogs...

CLWD: a Chinese histopathology dataset for lung adenocarcinoma subtype classification.

Effective diagnosis and treatment of lung adenocarcinoma depends on accurate typing, subtyping, and ...

Automatic Hepatic Steatosis Quantification using Low-Dose CT with deep learning-based noise reduction and CT Fat Fraction Analysis Software.

OBJECTIVES: To evaluate the accuracy of CT-derived fat fraction (CDFF) software for quantifying hepa...

Intelligent model for stratification of acute radiation syndrome severity in humans.

PURPOSE: The aim of this study was to develop and compare two intelligent model for stratifying the ...

Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases.

BACKGROUND: Primary glomerulonephritis (GN) is a heterogeneous group of kidney disorders where under...

Machine Learning-Based Preoperative Predicting TERT Promoter Mutation and EGFR Gene Amplification Phenotype in IDH Wild-Type Glioblastoma Using Advanced MR Habitat Imaging.

BACKGROUND AND PURPOSE: The telomerase reverse transcriptase (TERT) gene promoter mutation is a cruc...

Ensemble learning on serum metabolic fingerprints for early detection of lung adenocarcinoma.

Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality worldwide, highlighti...

A scoping review of radiation dose and image quality in paediatric CT: Towards safe imaging protocols and diagnostic reference levels in Jordan.

BACKGROUND: Computed tomography (CT) is an essential diagnostic tool, but its associated radiation e...

Characterization of Kidney and Liver Cystic Phenotype Associated with GANAB Using Advanced Imaging Biomarkers.

UNLABELLED: : Background and Hypothesis: Monoallelic pathogenic variants in GANAB cause autosomal do...

Contactless and Wireless Wound Monitoring Using Nitrogen-Doped Graphene Antenna Sensor.

Quantitative remote wound monitoring has the potential to shorten patient recovery time and alleviat...

Clinical value of ultra-low-dose chest CT with deep learning image reconstruction in the detection and characterization of pulmonary nodules.

OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reco...

GSDME-mediated pyroptosis modulates the immunosuppressive microenvironment in lung adenocarcinoma.

Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise imp...

Machine learning models based on tumoral, 4 mm-peritumoral, and combined radiomic features for evaluating the invasiveness of lung adenocarcinoma manifesting as ground-glass nodules.