Latest AI and machine learning research in other cancers for healthcare professionals.
PURPOSE: To develop a deep learning (DL) model for diagnosing ocular surface tumors and evaluating its diagnostic performance. SETTING: Development of a deep learning diagnosis algorithm. METHODS: A total of 1491 ocular surface images representing 7 diseases-nevus (28 eyes), limbal dermoid (144), MALT lymphoma (20), ocular surface squamous neoplasia (OSSN; 138), melanoma (14), pinguecula (29), and...
PURPOSE: Accurate preoperative staging of colorectal cancer is critical to guide treatment decisions, including eligibility for R0 resection, to reduce recurrence and improve patient survival. However, conventional imaging evaluation depends on human experience, leading to subjectivity and diagnostic uncertainty in clinical interpretation. Therefore, an objective, evidence-based quantitative analy...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) exhibits profound molecular heterogeneity, and reliable biomarkers for predicting clinical outcome...
BACKGROUND: Uveal melanoma (UM), the most common form of ocular melanoma, represents poor prognosis, with approximately 50% of patients developing met...
Medicine finds itself on the brink of an artificial intelligence (AI) revolution, promising to transform what it means to be human and thus what it me...
Hepatocellular carcinoma (HCC) ranks sixth in incidence and third in mortality worldwide, underscoring its public health burden. Ablation therapy is o...
Accurately distinguishing between primary and gastrointestinal metastatic mucinous ovarian carcinoma (MOC) is crucial but remains highly challenging. ...
Increasing evidence suggests that Graves' disease (GD) may increase the risk of thyroid cancer (THCA), but diagnostic biomarkers associated with it re...
Small cell lung cancer (SCLC) is known for its rapid growth and early metastasis, and SCLC patients are highly susceptible to chemoresistance. Studies...
Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approximately 25-30 % of cases exhibiting a familial compo...
In metastatic melanoma with a BRAFV600 mutation, inhibitors of BRAF and MEK have improved survival. Resistance may be acquired through late genetic al...
AIMS AND OBJECTIVES: In the present paper, we compared the efficiency of six transfer learning models to detect malignant cells in urine cytology. We ...
We investigated the carcinogenic effects of four endocrine-disrupting chemicals-bisphenol A (BPA), diethyl phthalate (DEP), dimethyl phthalate (DMP), ...
BACKGROUND: Valid stratification factors for patients with epithelial ovarian cancer are still lacking and individualisation of care remains an unmet ...
BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality globally, with over 905,700 new cases and 830,200 de...
BACKGROUND: Prostate cancer (PCa) is one of the most common cancer in men worldwide, while numerous scientific achievements have been made in research...
PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike mo...
BACKGROUND: Accurate esophageal cancer staging relies on 18F fluorodeoxyglucose positron emission tomography (18F FDG-PET), but its interpretation is ...
BACKGROUND: Screening for clinical trials is challenging for clinicians due to its time-consuming and repetitive nature. The rise of artificial intell...
OBJECTIVE: To develop and validate a Fully Automated Stratification System (FASS) integrating serum biomarkers, automated radiomic features, and large...