Results 81 to 90 of about 55,768 (244)

A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?

npj Precision Oncology
The search for understanding immunotherapy response has sparked interest in diverse areas of oncology, with artificial intelligence (AI) and radiomics emerging as promising tools, capable of gathering large amounts of information to identify suitable ...
Marta Ligero, Bente Gielen, Victor Navarro, Pablo Cresta Morgado, Olivia Prior, Rodrigo Dienstmann, Paolo Nuciforo, Stefano Trebeschi, Regina Beets-Tan, Evis Sala, Elena Garralda, Raquel Perez-Lopez   +11 more
doaj   +1 more source

A Study on Energy Consumption in AI-Driven Medical Image Segmentation

Journal of Imaging
As artificial intelligence advances in medical image analysis, its environmental impact remains largely overlooked. This study analyzes the energy demands of AI workflows for medical image segmentation using the popular Kidney Tumor Segmentation-2019 ...
R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay Duddalwar, C.-C. Jay Kuo   +6 more
doaj   +1 more source

Radiomics analysis of contrast-enhanced computed tomography in predicting the International Neuroblastoma Pathology Classification in neuroblastoma

Insights into Imaging, 2023
Purpose To predict the International Neuroblastoma Pathology Classification (INPC) in neuroblastoma using a computed tomography (CT)-based radiomics approach.
Haoru Wang, Mingye Xie, Xin Chen, Jin Zhu, Li Zhang, Hao Ding, Zhengxia Pan, Ling He   +7 more
doaj   +1 more source

Radiomics-Based Assessment of Portal Hypertension Severity and Risk Stratification of Cirrhotic Patients Using Routine CT Scans. [PDF]

Liver Int
ABSTRACT Background & Aims To develop and validate a CT‐based radiomics model to assess HVPG and predict a composite endpoint of liver‐related events (LRE: decompensation and liver‐related death) in patients with cirrhosis. Methods This retrospective study included 357 cirrhosis patients, who received invasive HVPG measurements, 120 liver‐healthy ...
Sin C, Watzenboeck ML, Iofinova E, Balcar L, Semmler G, Scheiner B, Lampichler K, Mandorfer M, Moga L, Rautou PE, Ronot M, Menche J, Reiberger T, Scharitzer M.   +13 more
europepmc   +2 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation

Advanced Intelligent Systems, EarlyView.
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li, Haoyu Tang, Jun Zhu, Fang Fang Gou, Jia Wu   +4 more
wiley   +1 more source

Validity of a multiphase CT-based radiomics model in predicting the Leibovich risk groups for localized clear cell renal cell carcinoma: an exploratory study

Insights into Imaging, 2023
Objective To develop and validate a multiphase CT-based radiomics model for preoperative risk stratification of patients with localized clear cell renal cell carcinoma (ccRCC).
Huayun Liu, Zongjie Wei, Yingjie Xv, Hao Tan, Fangtong Liao, Fajin Lv, Qing Jiang, Tao Chen, Mingzhao Xiao   +8 more
doaj   +1 more source

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

, 2017
Quantitative extraction of high-dimensional mineable data from medical images is a process known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk assessment and the quantification of intratumoural heterogeneity. In this
Aerts, Hugo J. W. L., Furstoss, Christophe, Kay-Rivest, Emily, Khaouam, Nader, Liem, Xavier, Naqa, Issam El, Nguyen-Tan, Phuc Felix, Perrin, Léo Jean, Seuntjens, Jan, Sultanem, Khalil, Vallières, Martin, Wang, Chang-Shu   +11 more
core   +2 more sources

Complementary multi‐omics profiling of chronic thromboembolic pulmonary hypertension reveals immune cell alterations, epigenetic changes, and genetically supported candidate genes

Animal Models and Experimental Medicine, EarlyView.
This study presents an integrative multi‐omics framework to uncover the molecular mechanisms and potential biomarkers of chronic thromboembolic pulmonary hypertension (CTEPH). Anthropometric and biochemical data were correlated using canonical correlation analysis, revealing key cardiometabolic associations. Single‐cell RNA sequencing identified immune
Xiaopeng Liu, Xia Zheng, Yajun Zhang, Yinghui Fang, Yanan Zhen   +4 more
wiley   +1 more source

Interval Timing Is Altered in Male Nrxn1+/− Mice: A Model of Autism Spectrum Disorder

Autism Research, EarlyView.
ABSTRACT Autism spectrum disorder (ASD) is characterized by impaired social interactions and communication, and increased repetitive and stereotypical behavior. Neuroimaging shows functional abnormalities in brain areas involved in temporal processing in autistic individuals, and they also show deficits in interval timing.
Kyle M. Roddick, Elias B. Habib, Richard E. Brown, Fuat Balcı   +3 more
wiley   +1 more source