Latest AI and machine learning research in cardiovascular for healthcare professionals.
During acquisition and reconstruction, medical images may become noisy and lose diagnostic quality. ...
A 78-year-old female patient was initially treated with laparoscopic radical cholecystectomy for gal...
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the s...
Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...
Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...
Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical s...
PURPOSE: Ovarian cancer patients with a Homologous Recombination Deficiency (HRD) often benefit from...
BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...
To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...
BACKGROUND/OBJECTIVES: Calculating the radiation dose from CT in F-PET/CT examinations poses a signi...
Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival ...
PURPOSE: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colo...
In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of...
PURPOSE: To establish an artificial intelligence (AI)-empowered multistep integrated (MSI) radiation...
BACKGROUND: HER2-low expression has gained clinical relevance in breast cancer (BC) due to the avail...
BACKGROUND: The low tube-voltage technique (e.g., 80Â kV) can efficiently reduce the radiation dose a...
BACKGROUND: To verify overall survival predictions made with residual convolutional neural network-d...
OBJECTIVE: To examine the optimal method of assessing response to neoadjuvant therapy (NAT) in patie...
Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammo...
The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained ...
In many clinical and research settings, the scarcity of high-quality medical imaging datasets has ha...