Results 61 to 70 of about 979,707 (169)

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
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, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
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, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

On Explaining Decision Trees

, 2020
Decision trees (DTs) epitomize what have become to be known as interpretable machine learning (ML) models. This is informally motivated by paths in DTs being often much smaller than the total number of features. This paper shows that in some settings DTs can hardly be deemed interpretable, with paths in a DT being arbitrarily larger than a PI ...
Izza, Yacine, Ignatiev, Alexey, Marques Silva, João   +2 more
openaire   +3 more sources

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
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, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

On Decision Trees, Influences, and Learning Monotone Decision Trees

, 2004
In this note we prove that a monotone boolean function computable by a decision tree of size s has average sensitivity at most √ log2 s. As a consequence we show that monotone functions are learnable to constant accuracy under the uniform distribution in time polynomial in their decision tree size.
O'Donnell, Ryan, Servedio, Rocco Anthony
openaire   +3 more sources

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source

Improving dose delivery in non‐coplanar cranial SRS: Stereoscopic x‐ray‐guided mitigation of table walkout errors

Journal of Applied Clinical Medical Physics, EarlyView.
Purpose Linear accelerator (LINAC)‐based single‐isocenter multi‐target (SIMT) treatment has streamlined the cranial stereotactic radiosurgery (SRS) workflow. Though efficient, SIMT delivery adds additional challenges that should be considered, including increased sensitivity to rotational errors for off‐isocenter targets.
Yohan A. Walter, Philip F. Durham, Anne N. Hubbard, William E. Burrell, Hsinshun T. Wu   +4 more
wiley   +1 more source

Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda, Tomoyuki Hasuo, Shinnosuke Nishihara, Kohsei Matsuura, Yasuyuki Kawaji, Hidetoshi Yatake, Shinya Imai, Takuya Akagawa, Nobuyoshi Tanki, Toshizo Katsuda   +9 more
wiley   +1 more source

A PANoptosis‐Based Signature for Survival and Immune Predication in Glioblastoma Multiforme

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective PANoptosis is a concept of total cell death characterized by pyroptosis, apoptosis, and necroptosis. We aimed to explore the clinical significance of PANoptosis‐related genes (PARGs) in glioblastoma multiforme (GBM). Methods Expression profiles of GBM were downloaded from the XENA database as a training dataset to construct a ...
Jun Yang, Da Lin, Dongyuan Liu, Dongxu Zhang, Hao Wang   +4 more
wiley   +1 more source

Sex‐Related Differences in Efficacy and Safety Outcomes in Axial Spondyloarthritis Randomized Clinical Trials: A Systematic Literature Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao, Jordi Pardo Pardo, Steven Dang, Lianne S. Gensler, Philip Mease, Lihi Eder   +5 more
wiley   +1 more source