Results 181 to 190 of about 1,267,704 (337)
Operating system design with computer network communication protocols [PDF]
Wilfried Probst, Gregor von Bochmann
openalex +1 more source
Aging weakens the blood–brain barrier (BBB), increasing susceptibility to CNS cancers and complicating treatment. This review examines BBB deterioration, its impact on drug delivery, and potential interventions like targeting neuroinflammation and advanced therapies.
Quang La, Aiman Baloch, David F. Lo
wiley +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Computing: Networks and Modeling [PDF]
Tim Appenzeller+2 more
openaire +3 more sources
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg+2 more
wiley +1 more source
Planning a computer system facility in an intercomputer network [PDF]
Barry D. Wessler
openalex +1 more source
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
“An application of simulation to debugging and maintaining a computer network system” [PDF]
Matthew Collins, Dimitri Harder
openalex +1 more source
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising+11 more
wiley +1 more source