Results 231 to 240 of about 542,433 (374)

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

Machine learning-driven immunophenotypic stratification of mixed connective tissue disease, corroborating the clinical heterogeneity. [PDF]

Rheumatology (Oxford)
Izuka S, Komai T, Itamiya T, Ota M, Nagafuchi Y, Shoda H, Matsuki K, Yamamoto K, Okamura T, Fujio K.   +9 more
europepmc   +1 more source

Clinical studies on pulmonary changes in patients with connective tissue disease

, 1982
Kaname Ono
openalex   +2 more sources

Short-term and long-term epoprostenol (prostacyclin) therapy in pulmonary hypertension secondary to connective tissue diseases: results of a pilot study [PDF]

, 1999
Marc Humbert, O. Sanchez, M. Fartoukh, J.-L. Jagot, C. Le Gall, O. Sitbon, F. Parent, G. Simonneau   +7 more
openalex   +1 more source

Stereotactic radiosurgery for multiple small brain metastases using gamma knife versus single‐isocenter VMAT: Normal brain dose based on lesion number and size

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The study evaluates rapid linear accelerator (Linac) single isocenter stereotactic radiosurgery (SRS) with Hyperarc for large target numbers. We compared to Gamma Knife (GK), which suffers from long treatment times and investigated causes of differences. Methods Linac SRS and GK treatment plans for patients receiving 18 Gy to the gross
Abram Abdou, Timoteo Almeida, Elizabeth Bossart, Irene Monterroso, Eric A. Mellon   +4 more
wiley   +1 more source

Early detection of cardiac impairment and prediction of right ventricular hypertrophy in patients with connective tissue disease. [PDF]

Biomed Rep
Shen J, Xiao G, Fang S, Yang H, Zhao Z, Xu Y, Jiang M, Zhong S.   +7 more
europepmc   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

The prognostic value of HFA-PEFF score in connective tissue disease-associated PAH: evidence from a cohort study. [PDF]

BMC Cardiovasc Disord
Dai J, Ma L, Zhang Y, Shan L, Li D, Li L, Hu Q, Zhou Z, Sun X, Wang Q, Zhou L.   +10 more
europepmc   +1 more source

A case of mixed connective tissue disease (MCTD) associated with pulmonary hypertension

, 1986
Mitsunori Yagame, Takashi Ohta, Naoki Suzuki, Toshihiro Kakefuda, Shimao Fukai, Yasuhiko Tomino   +5 more
openalex   +2 more sources

AAPM Task Group No. 249.B—Essentials and guidelines for clinical medical physics residency training program

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies.
Jonathon A. Nye, Joseph P. Dugas, William D. Erwin, David P. Gierga, Darryl G. Kaurin, Stephanie M. Leon, Ho‐Ling Anthony Liu, Zheng Feng Lu, Alphonso W. Magri, Lynn N. Rill, Leah K. Schubert, Beth A. Schueler, Irina Vergalasova, John Vetter, Brian D. Wichman, Amy Shu‐Jung Yu, Dandan Zheng   +16 more
wiley   +1 more source