Results 181 to 190 of about 52,953 (291)

Multi-sequence magnetic resonance imaging radiomics integrated with clinical features predicts pelvic lymph node metastasis in cervical cancer: a retrospective-prospective cohort study. [PDF]

Front Med (Lausanne)
Gong W, Liu X, Wang M, Hu X, Yan G, Liu K, Li Y, Zhang T.   +7 more
europepmc   +1 more source

Radiomics Analysis for Predicting Medication‐Related Osteonecrosis of the Jaw Using Computed Tomography

Oral Diseases, EarlyView.
ABSTRACT Objectives To determine whether pretreatment radiomics can predict medication‐related osteonecrosis of the jaw (MRONJ). Methods Patients with mandibular MRONJ at Hiroshima University Hospital (2009–2024) who underwent MDCT before initiating bone resorption inhibitors were retrospectively identified. Records from 2009 to 2020 were also reviewed
Masaru Konishi
wiley   +1 more source

The clinical value of ultrasound radiomics combined with clinical data nomogram in predicting cervical lymph node metastasis of papillary thyroid carcinoma. [PDF]

Front Oncol
Zhang X, Sun B, Jiang F, Chu Y, Wang X, Sun W, Wei T, Hong R, Ma Q.   +8 more
europepmc   +1 more source

The Quest for Generalizability in Radiomics

Radiology: Artificial Intelligence, 2020
openaire   +3 more sources

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source

A multimodal MRI radiomics sonata for differentiating small renal masses: a two-center retrospective study. [PDF]

Clinics (Sao Paulo)
Fang C, Tian L, Gao M, Duan X, Liu Q, Xu Z, Zheng J, Chen Y, Huang M, Chen X, Jiang W, Kong J, Dong W.   +12 more
europepmc   +1 more source

CT‐Based Radiomic Features Predict Cervical Lymph Node Metastasis in Dogs With Oral Malignancy: A Machine Learning Study Using Leave‐One‐Patient‐Out Cross‐Validation

Veterinary and Comparative Oncology, EarlyView.
ABSTRACT Accurate preoperative identification of cervical lymph node (LN) metastasis is essential for staging and treatment planning in dogs with oral malignancy, yet conventional imaging offers limited diagnostic sensitivity. This retrospective study evaluated whether CT‐derived radiomic features, combined with machine learning classifiers, could ...
Christopher J. Pinard, Andrew Lagree, Ryan Appleby, Michelle Oblak, Kuan‐Chuen Wu, William T. Tran   +5 more
wiley   +1 more source

The multicellular environment of the re‐entrant circuit in post‐myocardial infarction ventricular tachycardia: Beyond fibrosis

The Journal of Physiology, EarlyView.
Abstract figure legend Schematic overview of the temporal evolution of the post‐myocardial infarction substrate leading to ventricular tachycardia. Acute ischaemic injury initiates metabolic and electrophysiological disruption, followed by progressive inflammatory, fibrotic and structural remodelling within the infarct border zone.
Mohammed Obeidat, Jaffar Al‐Sheikhli, Andrew M. Blanks, Joseph Mayer, Nicolas Lellouche, Tarvinder Dhanjal, Christopher O'Shea   +6 more
wiley   +1 more source

Computed tomography multi-phase radiomics models for differentiating benign and malignant thyroid nodules. [PDF]

Front Endocrinol (Lausanne)
Li N, Tong J, Zhang G, Xu S, Huang W, Han X, Zhang J, Zhu X.   +7 more
europepmc   +1 more source

Prediction Models for Delayed Bleeding After Colorectal Endoscopic Submucosal Dissection: A Systematic Review and Critical Appraisal

DEN Open, Volume 7, Issue 1, April 2027.
ABSTRACT Background Although many predictive models have been developed or validated for delayed bleeding after colorectal endoscopic submucosal dissection (ESD), their methodological quality and clinical utility remain uncertain. We systematically reviewed and critically appraised all available predictive models for this outcome.
Da Miao, Zhuoer Hou, Yao Ge, Haiou Qi
wiley   +1 more source