Latest AI and machine learning research in other cancers for healthcare professionals.
Clinical treatment of skin lesion is primarily dependent on timely detection and delimitation of les...
BACKGROUND: Finding the tumor location in the prostate is an essential pathological step for prostat...
Hepatocellular carcinoma (HCC) is a common malignant tumor in China. In the present study, we aimed ...
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous neurodevelop...
Studies have shown that the use of artificial intelligence can reduce errors in medical image assess...
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in c...
Early detection of breast cancer and its correct stage determination are important for prognosis and...
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our pre...
BACKGROUND: Epithelial neoplasms of the scalp account for approximately 2% of all skin cancers and f...
Sleep staging is to score the sleep state of a subject into different sleep stages such as Wake and ...
Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic diagnosis of c...
Breast cancer is the most diagnosed cancer among women around the world. The development of computer...
Lymphatic spread determines treatment decisions in prostate cancer (PCa) patients. 68Ga-PSMA-PET/CT ...
With the advent of personalized medicine, there is a movement to develop "smaller" and "smarter" mic...
We aimed to assess the use of automatic machine learning (AutoML) algorithm based on magnetic resona...
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily ...
OBJECTIVES/HYPOTHESIS: To develop a deep-learning-based computer-aided diagnosis system for distingu...
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using comput...
Patients with major depressive disorder (MDD) show heterogeneous treatment response and highly varia...
The aim of this study is to explore the feasibility of using machine learning (ML) technology to pre...
To assist radiologists in breast cancer classification in automated breast ultrasound (ABUS) imaging...