Latest AI and machine learning research in brain cancer for healthcare professionals.
BACKGROUND: The purpose of this study was to create a nomogram using machine learning models predict...
We illustrate the steps required to train and validate a simple, machine learning-based clinical pre...
This chapter goes through the steps required to train and validate a simple, machine learning-based ...
The use of deep learning (DL) is rapidly increasing in clinical neuroscience. The term denotes model...
In the last decades, modern medicine has evolved into a data-centered discipline, generating massive...
This chapter describes technical considerations and current and future clinical applications of lesi...
BACKGROUND: Low-dose computed tomography (LDCT) is an effective method for reducing radiation exposu...
Although the prognosis of lower-grade glioma (LGG) patients is better than others, outcomes are high...
The catheterisation laboratory today combines diagnosis and therapeutics, through various imaging mo...
In cervical cancer treatment, radiation therapy is selected based on the degree of tumor progression...
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with cent...
Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treat...
Artificial intelligence (AI) is a rapidly growing profession that shows continued promise for diagno...
To overcome the computational burden of processing three-dimensional (3D) medical scans and the lack...
Robot-assisted brain tumor biopsy is becoming one of the most important innovative technologies in n...
In this article, we compare the performance of a state-of-the-art segmentation network (UNet) on two...
The purpose of this phantom study is to compare radiation dose and image quality of abdominal comput...
We evaluated patients who underwent treatment for prostate cancer and then subsequent robot-assiste...
To evaluate the feasibility, safety, and accuracy of the new man-machine interactive robotic system ...
Swimming biohybrid microsized robots (e.g., bacteria- or sperm-driven microrobots) with self-propell...
BACKGROUND: Machine learning (ML)-based predictive models are increasingly common in neurosurgery, b...