Latest AI and machine learning research in brain cancer for healthcare professionals.
The absence of MRI sequences is a common occurrence in clinical practice, posing a significant chall...
BACKGROUND AND PURPOSE: To conduct a systematic review and meta-analysis of the performance of radio...
OBJECTIVE: To evaluate the radiation and contrast dose reduction potential of combining 70 kV with d...
Artificial intelligence (AI) has gained significant attention in various scientific fields due to it...
Cone-beam computed tomography (CBCT) is widely used in dentistry, surgery, radiotherapy and other me...
PURPOSE: Although radiotherapy (RT) is one of the primary treatment modalities used in the treatment...
Radiologists are witnessing astonishing innovation and advancement of CT technologies and their clin...
BACKGROUND: In order to meet the kinematic requirements of large range of motion, payload, and stiff...
Brain Tumours are highly complex, particularly when it comes to their initial and accurate diagnosis...
BACKGROUND: The tangential field-in-field (FIF) technique is a widely used method in breast radiatio...
Brain tumours continue to be a primary cause of worldwide death, highlighting the critical need for ...
OBJECTIVES: Multiplexed Positron Emission Tomography (PET) imaging allows simultaneous acquisition o...
Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, re...
Air absorbed dose rate is a key indicator of environmental radiation exposure. In China, automated e...
AIM: The use of artificial intelligence (AI) and machine learning (ML) is increasingly widespread in...
PURPOSE: Distal radius (wrist) and supracondylar (elbow) fractures are common in children presenting...
Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are c...
Radiation therapy is regarded as the mainstay treatment for cancer in clinic. Kilovoltage cone-beam ...
Accurate diagnosis of cerebral tumors is crucial for effective clinical therapeutics and prognosis. ...
PURPOSE: This study aims to develop a deep learning framework that leverages modality imputation and...
Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its a...