Results 231 to 240 of about 39,632 (294)

PET/CT and PET/MRI in Cancer Diagnosis and Management: A Comparative Clinical Perspective

iMetaMed, EarlyView.
This review compares PET/CT and PET/MRI in cancer imaging, highlighting their complementary roles for precise diagnosis and staging. It evaluates their technical strengths, clinical performance across various cancers, and future directions, including AI and novel tracers.
Zijian Ding, Ran Xue, Qianxi Jin, Wangzheqi Zhang, Yali Wu, Baixuan Xu   +5 more
wiley   +1 more source

Enhanced Magnetic Resonance Imaging-Based Knee Cartilage Segmentation Using a Swin-UNet Conditional Generative Adversarial Network: Development and Validation Study. [PDF]

JMIR Med Inform
Park JY, Nam JH, Abdigapporov S, Kim JK, Koh YG, Cho BW, Kwon HM, Park KK, Kang KT.   +8 more
europepmc   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source

Super-Resolution Reconstruction of Sonograms Using Residual Dense Conditional Generative Adversarial Network. [PDF]

Sensors (Basel)
Xu Z, Wei Y.
europepmc   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation. [PDF]

Sci Rep
Yue X, Zhang L.
europepmc   +1 more source

TomoRay cranial: synthesis of cranial CT imaging from biplanar radiographs using a generative adversarial network. [PDF]

Eur Radiol
Zanier O, Ryu S, Da Mutten R, Theiler S, Carretta A, Palandri G, Mazzatenta D, Regli L, Serra C, Staartjes VE.   +9 more
europepmc   +1 more source

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

Clinical Application of Using Diffusion-Based Wasserstein Generative Adversarial Network for Morphologic Analysis of Blood Cells. [PDF]

J Clin Lab Anal
Kim HY, Ngasa EE, Kim HJ, Kim B, Lim G, Park CH, Kwon HJ, Jang MA, Woo J.   +8 more
europepmc   +1 more source

Feasibility and Reproducibility of a Structure‐Guided Deep Learning Model for Automatic Detection of the Standard Sagittal Plane in First‐Trimester Nuchal Translucency Assessment Using 3D Ultrasound

Journal of Ultrasound in Medicine, EarlyView.
Objectives Accurate nuchal translucency (NT) measurement for assessing the risk of fetal genetic abnormalities requires precise acquisition of the mid‐sagittal plane (MSP). However, achieving an appropriate MSP is technically challenging due to anatomical variability and operator dependence inherent in conventional 2‐dimensional (2D) ultrasound.
Hayan Kwon, Hyewon Hur, Hyun Cheol Cho, Yun ji Jung, Suhra Kim, Ja‐Young Kwon   +5 more
wiley   +1 more source