Latest AI and machine learning research in other cancers for healthcare professionals.
PURPOSE: Precision cancer medicine is dependent on accurate prediction of disease and treatment outc...
PURPOSE: Pancreatic cancer remains a disease of high mortality despite advanced diagnostic technique...
BACKGROUND: Differentiate malignant from benign enhancing foci on breast magnetic resonance imaging ...
BACKGROUND: Breast cancer intrinsic molecular subtype (IMS) as classified by the expression-based PA...
Given that the biological processes governing the oncogenesis of pancreatic cancers could present us...
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carc...
Barrett cancer is a treatable disease when detected at an early stage. However, current screening pr...
Management of thyroid nodules in the era of precision medicine is continuously changing. Neck ultras...
OBJECTIVES: To propose a transfer learning (TL) radiomics model that efficiently combines the inform...
In the United States and Europe, endometrial endometrioid carcinoma (EEC) is the most prevalent gyn...
PURPOSE: Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) aft...
PURPOSE: Beam orientation selection, whether manual or protocol-based, is the current clinical stand...
Machine learning techniques have been previously applied for classification of tumors based largely ...
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node m...
PURPOSE: With increasing incidence of renal mass, it is important to make a pretreatment differentia...
Nonmuscle-invasive bladder cancer has a relatively high postoperative recurrence rate despite the i...
OBJECTIVE: To classify sleep states using electroencephalogram (EEG) that reliably works over a wide...
BACKGROUND: Distinguishing ductal carcinoma in situ (DCIS) from invasive ductal carcinoma (IDC) regi...
BACKGROUND AND AIMS: The visual detection of early esophageal neoplasia (high-grade dysplasia and T1...
BACKGROUND AND AIMS: We assessed the preliminary diagnostic accuracy of a recently developed compute...
PURPOSE: To present a novel method, based on convolutional neural networks (CNN), to automate weight...