Latest AI and machine learning research in oncology/hematology for healthcare professionals.
INTRODUCTION: Osteosarcoma (OS) is a malignancy of the bone that mainly afflicts younger individuals...
BACKGROUND: Liver hepatocellular carcinoma (LIHC) ranks as the foremost cause of cancer-related deat...
BACKGROUND: Several studies indicate that smoking is one of the major risk factors for bladder cance...
BACKGROUND: Unlike patients with lung adenocarcinoma, patients with lung squamous cell carcinoma (LU...
Thyroid diseases, including functional and neoplastic diseases, bring a huge burden to people's heal...
In recent days, bone cancer is a life-threatening health issue that can lead to death. However, phys...
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index, which inte...
Nanozymes with multienzyme-like activity have sparked significant interest in anti-tumor therapy via...
Classifying lung cancer subtypes, which are characterized by multi-microRNAs (miRNAs) upregulation, ...
BACKGROUND: Recent studies in the field of lung cancer have emphasized the important role of body co...
Ovarian cancer is a malignant tumor with different clinicopathological and molecular characteristics...
Hepatocellular carcinoma (HCC) is characterized by high incidence, significant mortality, and marked...
Breast cancer is the most common malignant tumour in women, with more than 685,000 women dying of br...
This study aims to construct and optimize risk prediction models for lymph node metastasis (LNM) in ...
Artificial intelligence and natural language processing tools have shown promise in oncology by assi...
BACKGROUND: Hepatocellular carcinoma (HCC) exhibits an exceptional intratumoral heterogeneity that m...
[F]FDG PET/CT is a powerful imaging modality of high performance in multiple myeloma (MM) and is con...
OBJECTIVE: To investigate the value of multiparametric magnetic resonance imaging (MRI) as a non-inv...
Artificial intelligence is rapidly changing our world at an exponential rate and its transformative ...
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) ar...
PURPOSE: This study developed and validated a novel deep learning radiomic biomarker to estimate res...