Results 221 to 230 of about 52,953 (291)

Characterization of local linearity in deep learning CT denoising networks

Medical Physics, Volume 53, Issue 11, November 2026.
Abstract Background Deep learning algorithms for image processing have been proposed for a wide range of applications. In particular, deep learning CT denoising has demonstrated superior ability to reduce noise compared to conventional methods. However, the nonlinear nature of these algorithms makes it difficult to inspect and visualize how the model ...
Kwok Lung Fan, Junyuan Li, Craig Abbey, Cheng Ting Lin, J. Webster Stayman, Grace J. Gang   +5 more
wiley   +1 more source

CT‐Based Biomarkers for Predicting Progressive Phenotypes in Interstitial Lung Diseases: A Retrospective Cohort Study

Respirology, Volume 31, Issue 11, Page 1134-1143, November 2026.
This study demonstrates that the Single Time Point Prediction score, a novel machine learning‐based imaging biomarker, along with established quantitative CT measures, is significantly associated with disease progression in non‐IPF ILD. This imaging metric may enable earlier identification of high‐risk patients and support personalised treatment ...
Ju Hyun Oh, Jin Woo Song, Jonathan Goldin, S. Samuel Weigt, Augustine Chung, Jared D. Wilkinson, Fereidoun Abtin, Lila Pourzand, Bianca Villegas, Jihey Lee, Kyungjong Lee, Grace Hyun J. Kim   +11 more
wiley   +1 more source

Laryngeal Cancer Survival in Northern United Kingdom: A Multi‐Centre Retrospective Observational Study

Clinical Otolaryngology, Volume 51, Issue 6, Page 867-874, November 2026.
ABSTRACT Objectives Laryngeal cancer incidence has risen globally, yet survival outcomes have shown limited improvement over recent decades. This study evaluated contemporary outcomes across multiple centres in Northern UK and examined stage‐ and treatment‐specific survival. Design Multi‐centre retrospective observational study.
Amar Rajgor, Rhona Hurley, Catriona M. Douglas, Claire Paterson, James Moor, Shane Lester, Sara Sionis, Katherine Davies, James O’Hara, Gareth Inman, Terry Jones, David Winston Hamilton, Northern Head & Neck Alliance, Amarkumar Rajgor, Rhona Hurley, Catriona M. Douglas, Claire Paterson, James Moor, Shane Lester, Sara Sionis, Katherine Davies, James O'Hara, Gareth Inman, Terry Jones, David Winston Hamilton, Sarah Hill, Seamus O'Neill, Alison McLoughlin, Jemy Jose, Winson Wong, Michael Ho, Debbie Horne, Jarrod Homer, Matthew Kennedy, Emma Kinloch, Robert Metcalf, Iain Varley, Thomas Carroll, Sarah Healy, Helen Cocks, Michael Nugent, Leo Vassilou, Panos Kyzas, David Conway, John Greenman, Andrew Schache, Jason Fleming, Joanne Patterson, Keith Hunter, Paula Parvulescu, Rachel Brooker, Richard Shaw, Stephanie Meysner, Ola Rominiyi, Olena Mandrik   +54 more
wiley   +1 more source

Combined Pulmonary Fibrosis and Emphysema: Current Status and Future Perspective

The Clinical Respiratory Journal, Volume 20, Issue 11, November 2026.
This review summarizes recent advances in combined pulmonary fibrosis and emphysema (CPFE), proposing a novel etiologic classification framework encompassing four subtypes. We integrate a diagnostic algorithm to guide precise management and highlight emerging artificial intelligence strategies for risk stratification and dynamic prognostic assessment ...
Qinyu Deng, Chen Chen, Qinghe Zhang, Zilin Wei, Jianqi Sun, Feng Li   +5 more
wiley   +1 more source

Digital Twins in Clinical Neurology: From Concept to Clinical Application in Multiple Sclerosis

European Journal of Neurology, Volume 33, Issue 11, November 2026.
ABSTRACT Introduction Patient digital twins (DT) are emerging as a promising paradigm for personalised and predictive healthcare. In neurology, and particularly in multiple sclerosis (MS), the availability of longitudinal, multimodal data provides a strong foundation for developing patient‐specific digital models, including simulation‐based and ...
Isabel Voigt, Hernan Inojosa, Judith Wenk, Iva Gasparovic‐Curtini, Sergiu Groppa, Matthias Grothe, Marc Pawlitzki, Lars Masanneck, Sven Meuth, Stephen Gilbert, Tjalf Ziemssen   +10 more
wiley   +1 more source

Non-invasive preoperative MRI-based deep transfer learning radiomics model for predicting meningioma brain invasion. [PDF]

Front Oncol
Yuan D, Zhang J, Zhang C, Jing X, Feng Q, Han T.   +5 more
europepmc   +1 more source

Can Artificial Intelligence Match Human Expertise in Long‐Term Periodontal Prognosis? A Comparative Accuracy Study

Journal of Clinical Periodontology, Volume 53, Issue 11, Page 1712-1721, November 2026.
ABSTRACT Aim To compare the prognostic performance of an artificial intelligence (AI) model with that of experienced clinicians in predicting tooth loss over a 10‐year period. Materials and Methods An AI model trained on structured clinical and radiographic data was compared with 12 periodontists and 11 general dentists (GDs), who independently ...
Pablo Antonio López‐Galindo, Giuseppe Troiano, Matteo Serroni, Debora R. Dias, Pasquale Santamaría, Luigi Nibali, Gustavo Avila‐Ortiz, Andrea Ravidà   +7 more
wiley   +1 more source

Radiomics in spinal research: a narrative review. [PDF]

Front Bioeng Biotechnol
Tao BS, Tao KA, Keko M, Haouchine N, Alkalay RN.   +4 more
europepmc   +1 more source

Radiotherapy for Cervical Cancer: Technical Advances, Clinical Applications, and Future Perspectives

Journal of Obstetrics and Gynaecology Research, Volume 52, Issue 11, November 2026.
ABSTRACT Radiotherapy is an essential treatment modality for cervical cancer and has evolved substantially with advances in image guidance and treatment delivery. This review summarizes recent technological developments in external beam radiotherapy and brachytherapy, their clinical applications, and future directions, with particular consideration of ...
Hitoshi Maemoto, Takafumi Toita, Akihiro Nishie   +2 more
wiley   +1 more source