Results 191 to 200 of about 42,977 (292)

Multi-parametric MRI habitat radiomics with interpretable machine learning for early prediction of axillary lymph node metastasis in triple-negative breast cancer. [PDF]

Front Med (Lausanne)
Xie B, Peng X, Wang Y, Wen X, Hu Y, Li Y, You X, Ma Y.   +7 more
europepmc   +1 more source

Immunotherapy 3.0: Breakthroughs Steering the Next Generation of Cancer Control

Cancer Reports, Volume 9, Issue 6, June 2026.
ABSTRACT Background Hematologic disorders, including sickle cell disease, anemias, hemoglobinopathies, leukemias, lymphomas, and bleeding disorders, constitute a substantial and growing burden of morbidity and mortality across Africa. Structural health system constraints—limited diagnostic capacity, shortages of trained hematology specialists ...
Emmanuel Ifeanyi Obeagu
wiley   +1 more source

A CT radiomics nomogram predicts visual acuity improvement in patients with indirect traumatic optic neuropathy following optic canal decompression. [PDF]

Front Neurol
Wang G, Yu P, Li S, Zhang W.
europepmc   +1 more source

Computed tomography enterography-based deep learning radiomics models of intestinal lesions and perienteric fat for predicting Crohn's disease activity: a multicenter cohort study. [PDF]

Quant Imaging Med Surg
Zhao C, Chen Y, Yang Z, Gao Y, Wang X, Liu J, Chen S.   +6 more
europepmc   +1 more source

Predictive Efficacy of a Combined Triphasic CT Radiomics and Clinical Feature Model for Ki-67 Expression in Hepatocellular Carcinoma. [PDF]

J Hepatocell Carcinoma
Huang H, Yang J, Zhang Y, Pan X, Chen L, Huang Y, Wang X, Lu W, Huang Z, Ding K.   +9 more
europepmc   +1 more source

Global spotlight editorial: Advancing treatment planning to promote equity through AI and automation in clinical medical physics

Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Nataliya Kovalchuk, Laurence Court, Jianrong Dai, Stefania Pallotta, Yi Rong   +4 more
wiley   +1 more source

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

Journal of Intelligent Medicine, Volume 3, Issue 2, Page 169-191, June 2026.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif, Mohanad A. Deif, Eman K. Elsayed   +2 more
wiley   +1 more source

Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma. [PDF]

J Hepatocell Carcinoma
Jia X, Wu F, Dai H, Xiao Y, Yang C, Zeng M.   +5 more
europepmc   +1 more source

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, Volume 63, Issue 6, Page 1596-1609, June 2026.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source

Explainable Supervised Learning Classification Model Using Diffusion Tensor Imaging Predicts Postoperative Outcomes in Cervical Spondylotic Myelopathy: A Preliminary Study

JOR SPINE, Volume 9, Issue 2, June 2026.
ABSTRACT Background Cervical spondylotic myelopathy (CSM) is common in older adults. Some patients may experience incomplete neurological recovery after surgery, or even deterioration. Accurate prognosis is essential for patients, yet current tools use subjective scores and fail to detect early spinal cord microstructural changes.
Yifei Peng, Zixuan Zhang, Zhikun Zhang, Kaiyi Shi, Ruoyu Wang, Yue Liu, Li Zhang   +6 more
wiley   +1 more source