Latest AI and machine learning research in lung cancer for healthcare professionals.
PURPOSE: To develop a combined dosiomics and deep learning (DL) model for predicting radiation derma...
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with limited treatment options, and e...
Lung MRI provides both structural and functional information across a spectrum of parenchymal and ai...
BACKGROUND: Lung cancer remains the leading cause of cancer-related death worldwide, with lung adeno...
BACKGROUND: The classical prognostic indicators of lung cancer are no longer sufficient for prognost...
Mycotoxins are potent triggers of hepatocellular carcinoma (HCC) due to their intricate interplay wi...
Barrett's esophagus is a premalignant precursor lesion of esophageal adenocarcinoma that affects app...
Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player i...
: This study aimed to investigate whether small-cell lung cancer (SCLC) and non-small-cell lung canc...
BACKGROUND AND OBJECTIVE: In lung radiotherapy, infrared cameras can track reflective objects on the...
INTRODUCTION: Prostate adenocarcinoma (PRAD) is an extremely widespread site of urological malignanc...
OBJECTIVE: To develop a deep learning system to classify non-small cell lung cancer (NSCLC) by histo...
PURPOSE: This study aims to develop and validate a multiregional radiomics model to predict patholog...
BACKGROUND: Cone-beam CT (CBCT) is crucial for patient alignment and target verification in radiatio...
OBJECTIVE: This study investigates the relationship between vaginal radiation dose and radiation-ind...
OBJECTIVE: To develop an interpretable machine learning (ML) model using dynamic contrast-enhanced m...
BACKGROUND: Ferroptosis, an iron-dependent form of regulated cell death, has garnered significant at...
Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces r...
BACKGROUND: How to screen beneficiary populations has always been a clinical challenge in the treatm...
RATIONALE AND OBJECTIVES: Radiogenomics holds promise in identifying molecular alterations in nonsma...
As a simple and visually assessable point-of-care testing method, lateral flow assays (LFAs) are wid...