Latest AI and machine learning research in other cancers for healthcare professionals.
Bone marrow aspiration (BMA) smear analysis is essential for diagnosis, treatment, and monitoring of...
BACKGROUND: Esophageal cancer remains a global challenge due to late diagnoses and limited treatment...
PURPOSE: To develop and validate a predictive combined model for metastasis in patients with clear c...
BACKGROUND: Metastasis renal cell carcinoma (RCC) patients have extremely high mortality rate. A pre...
In solid tumor oncology, circulating tumor DNA (ctDNA) is poised to transform care through accurate ...
BACKGROUND: Patients with resectable esophageal squamous cell carcinoma (ESCC) receiving neoadjuvant...
Endometrial cancer is the fourth most common cancer in women in the United States, with a lifetime r...
Liver resection is one of the best treatments for small hepatocellular carcinoma (HCC), but post-res...
BACKGROUND: Lymph node metastasis (LNM) is associated with worse prognosis in bladder urothelial car...
OBJECTIVE: This study investigated whether artificial intelligence (AI) models combining voice signa...
Non-small cell lung carcinoma (NSCLC) is the most common type of pulmonary cancer, one of the deadli...
BACKGROUND: Although accurate preoperative diagnosis of lymph node metastasis is essential for optim...
Colorectal cancer remains a major cause of cancer death and morbidity worldwide. Surgery is a major ...
BACKGROUND: Traditional biopsies pose risks and may not accurately reflect soft tissue sarcoma (STS)...
Renal cell carcinoma (RCC), accounting for 90% of all kidney cancer, is categorized into clear cell ...
Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term foll...
Nucleotide-based molecules called DNA and RNA are essential for several biological processes that af...
Disulfidptosis represents a novel cell death mechanism triggered by disulfide stress, with potential...
BACKGROUND: The coronavirus pandemic that started in 2019 has caused the highest mortality and morbi...
BACKGROUND: This study aims to explore machine learning(ML) methods for non-invasive assessment of W...
Accurate prediction of pneumoconiosis is essential for individualized early prevention and treatment...