Latest AI and machine learning research in lung cancer for healthcare professionals.
This review article highlights the potential of integrating photon-counting computed tomography (CT)...
Background and objective The risk of malignant melanoma (MM) and other forms of skin cancer appears ...
Background Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer (PC)...
BACKGROUND: Magnetic resonance image only (MRI-only) simulation for head and neck (H&N) radiotherapy...
PURPOSE: Computed tomography (CT) scans are a significant source of medically induced radiation expo...
Patient care workflows are highly multimodal and intertwined: the intersection of data outputs provi...
PURPOSE: Accurate and comprehensive segmentation of cardiac substructures is crucial for minimizing ...
RATIONALE & OBJECTIVE: Kidney function progressively declines in most patients with type 2 diabetes ...
BACKGROUND: Minimally invasive lobectomy is the standard treatment for early stage non-small cell lu...
Recent advancements in tissue imaging techniques have facilitated the visualization and identificati...
Lung cancer is the leading cause of cancer deaths among both men and women, representing approximate...
BACKGROUND: Minimally invasive sub-lobectomy is sufficient in treating small early-stage non-small c...
Advanced lung cancer diagnoses from radiographic images include automated detection of lung cancer f...
INTRODUCTION: Pathologic response (PathR) by histopathologic assessment of resected specimens may be...
INTRODUCTION: Fifty per cent of patients with cancer require radiotherapy during their disease cours...
External stressors, such as ionizing radiation, have massive effects on life, survival, and the abil...
PURPOSE: Non-small cell lung cancer (NSCLC) stereotactic body radiation therapy with 50 Gy/5 fractio...
RATIONALE & OBJECTIVE: Chronic kidney disease is associated with significant morbidity and mortality...
Nervous system has distinct anisotropy and some intrinsic biophysical properties enable neurons pres...
Deep learning (DL) models have shown promise in detecting chronic kidney disease (CKD) from fundus p...
BACKGROUND: To evaluate the short-term efficacy, lung function, and oxidative stress levels between ...