Latest AI and machine learning research in lung cancer for healthcare professionals.
ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time,...
PURPOSE: To evaluate the impact of a new deep-learning image reconstruction (DLR) algorithm on image...
OBJECTIVES: Besides clinical examination, cranial CT plays a critical role in diagnostics in neurosu...
OBJECTIVE: Pediatric scoliosis is the most prevalent spinal disorder, often leading to abnormal curv...
Non-small cell lung cancer (NSCLC) presents persistent challenges in immunotherapy, as the clinical ...
OBJECTIVES: To investigate the feasibility and image quality of artificial intelligence iterative re...
Protein arginine methyltransferase 5 (PRMT5) is a key epigenetic enzyme that catalyses symmetric arg...
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) represents a heterogeneous syndro...
We have trained and externally validated a knowledge-based planning model for radiation therapy plan...
BACKGROUND: Differentiating preserved ratio impaired spirometry (PRISm) from chronic obstructive pul...
Quantitative PET imaging requires accurate attenuation and scatter correction (ASC), but the standar...
BACKGROUND: Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical ...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic model...
PURPOSE: Small cell lung cancer (SCLC) is a highly aggressive malignancy with a high incidence of li...
Freshwater reservoirs are essential for ecological stability, biodiversity preservation, and resourc...
A machine learning-based pathomics model was investigated for its value and biological significance ...
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), bu...
High-resolution Computed Tomography (CT) is the gold standard medical imaging technique for bone ass...
Tumor-intrinsic biomarkers alone insufficiently predict pathological complete response (pCR) to neoa...
Computed tomography (CT) is an important imaging modality that provides cross-sectional images, aidi...
Ultraviolet (UV) radiation is the primary risk factor for the development of both melanocytic and no...