Latest AI and machine learning research in breast cancer for healthcare professionals.
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can ...
PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond...
Machine learning approaches to problem-solving are growing rapidly within healthcare, and radiation ...
DNA nanorobots have emerged as new tools for nanomedicine with the potential to ameliorate the deliv...
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radia...
Solar energy is a major type of renewable energy, and its estimation is important for decision-maker...
The uncontrollable growth of cells in the breast tissue causes breast cancer which is the second mos...
BACKGROUND: Vascular interventions imply radiation exposure to the operating physician (OP). To redu...
Inverse treatment planning in radiation therapy is formulated as solving optimization problems. The ...
Detection of masses and micro calcifications are a stimulating task for radiologists in digital mamm...
PURPOSE: To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally a...
During mammogram screening, there is a higher probability that detection of cancers is missed, and m...
Biological tumour volume (GTV) delineation on F-FDG PET acquired during induction chemotherapy (ICT)...
Image synthesis is a novel solution in precision medicine for scenarios where important medical imag...
PURPOSE: One of the promising options for motion management in radiation therapy (RT) is the use of ...
Numerous models have investigated cancer behavior by considering different factors in chemotherapy. ...
KIRO® Oncology (Kiro Grifols, Spain) is a robotic system for automated compounding of sterile inject...
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosar...
PURPOSE: Radiation pneumonitis is an important adverse event in patients with non-small cell lung ca...
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with comput...
PURPOSE: There has been burgeoning interest in applying machine learning methods for predicting radi...