Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Automatic segmentation of hepatocellular carcinoma (HCC) on computed tomography (CT) sca...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed with the current gold sta...
Cancer detection and accurate classification pose significant challenges for medical professionals, ...
Tumor-infiltrating lymphocytes (TILs) are associated with improved survival in patients with epithel...
Hepatocellular carcinoma (HCC) is one of the most fatal malignancies. Early diagnosis of HCC is cruc...
Early diagnosis of prostate cancer, the most common malignancy in men, can improve patient outcomes....
Immuno-oncology involves the study of approaches which harness the patient's immune system to fight ...
BACKGROUND: Aimed to assess clinical effect of three-port inflatable robot-assisted thoracoscopic su...
Immunotherapy plays a key role in cancer treatment, however, responses are limited to a small number...
Neoadjuvant chemoimmunotherapy has revolutionized the therapeutic strategy for non-small cell lung c...
INTRODUCTION: Microvascular invasion (MVI) is the main risk factor for overall mortality and recurre...
BACKGROUND: Noninvasively and accurately predicting subcarinal lymph node metastasis (SLNM) for pati...
Neutrophil extracellular traps (NETs) are novel inflammatory cell death in neutrophils. Emerging stu...
Skin cancer is a terrifying disorder that affects all individuals. Due to the significant increase i...
OBJECTIVE: The Visiopharm artificial intelligence (AI) algorithm for oestrogen receptor (ER) immunoh...
BACKGROUND: Oral Potentially Malignant Disorders (OPMDs) refer to a heterogenous group of clinical p...
Oxidative stress (OXS) is closely related to tumor prognosis and immune response, while TP53 integra...
OBJECTIVE: The accuracy of deep learning models for many disease prediction problems is affected by ...
Cancer early detection and treatment response prediction continue to pose significant challenges. Ca...
INTRODUCTION: Since its introduction in November 2022, the artificial intelligence large language mo...
Deep learning models have demonstrated great potential in medical imaging but are limited by the exp...