Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Lung cancer is one of the major cancers worldwide, and rapid, accurate diagnosis is cruc...
Breast cancer continues to be a significant worldwide health concern, requiring ongoing improvements...
Uveal melanoma (UM) is among the most prevalent intraocular malignant tumors worldwide. Celastrol ex...
Pleural and ascitic cytology is essential for diagnosing metastatic cancer and predicting tumor orig...
OBJECTIVE: Lung neuroendocrine neoplasms (L-NENs) are increasingly recognized, yet reliable preopera...
BACKGROUND: Breast cancer (BC) is the most common malignancy afflicting women worldwide, yet the rol...
Conventional tumor chemotherapy faces limitations including drug resistance, high toxicity, non-sele...
Lung cancer remains a significant global health challenge, with metastatic progression being the lea...
The management of nasopharyngeal carcinoma (NPC), a malignancy with pronounced geographic prevalence...
Cervical cancer ranks as the fourth most prevalent cancer among women worldwide. Early diagnosis fac...
BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of pa...
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with s...
Renal cell carcinoma (RCC) is the leading cause of urinary system morbidity and mortality. Early ide...
OBJECTIVE: Cancer-associated fibroblasts (CAFs) are a critical component of the tumor microenvironme...
RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of preoperative computed tomography...
BACKGROUND: Survival outcomes in locally advanced gastric cancer remain heterogeneous despite standa...
Coriandrum sativum L. (coriander) is a medicinal herb with diverse pharmacological properties, but i...
OBJECTIVE: The lung is commonly involved in advanced Kaposi sarcoma (KS) but diagnosis of pulmonary ...
BACKGROUND: Osteosarcoma (OS) is the most common primary malignant bone tumor in adolescents, charac...
BACKGROUND & AIMS: Alcohol abstinence enables hepatic recompensation in patients with decompensated ...
OBJECTIVE: This study aims to develop a machine learning (ML) model to predict the risk of central l...