Results 221 to 230 of about 39,370 (305)

Unsupervised quality assessment with generative adversarial networks for 3D OCTA microvascular imaging. [PDF]

Biomed Opt Express
Sumpena E, Cornelio A, Collazo A, Ting SJ, Kowalczyk T, Jiang X, Beiser A, Seshadri S, Kashani AH, Jones CK.   +9 more
europepmc   +1 more source

Closing the Loop in Precision Oncology: A Digital Twin‐Driven Paradigm for Dynamic Decision‐Making

iMetaMed, EarlyView.
This review introduces the Closed‐Loop Intelligent Oncology System (CIOS), a five‐layer framework integrating digital twins and AI to enable adaptive, data‐driven cancer treatment. By synthesizing advances in multimodal perception, mechanistic simulation, and safe reinforcement learning, CIOS charts a roadmap toward dynamic, personalized oncology ...
Junye Zhu, Mengqi Yang, Chenxi Ouyang, Lin Zhang   +3 more
wiley   +1 more source

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

Generative adversarial networks-based Image-to-Image translation allows tumor consistency prediction from standard MR images in pituitary adenomas. [PDF]

PLOS Digit Health
Wu G, Yao S, Liu X, Rui W, Xu H, Ma Z, Wang Y, Yao Z, Chen G, Guo Y, He H, Qiao N, Yu J, Zhao Y.   +13 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

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

Enhanced Visualization: Transforming Non-Contrast into Contrast-Enhanced Computed Tomography Images Through Advanced Generative Adversarial Networks. [PDF]

Diagnostics (Basel)
Kim HS, Gil BM, Kim T, Yoon YD, Han DH.
europepmc   +1 more source

Multiscale attention generative adversarial networks for lesion synthesis in chest X-ray images. [PDF]

Sci Rep
Alam MS, Meijering E, Wang D, Sowmya A.
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

Forecasting the diabetic retinopathy progression using generative adversarial networks. [PDF]

Commun Med (Lond)
Qiao H, Tang F, Zhou H, Cai Y, Guo K, Wang J, Ma T, Ju L, Feng W, Ma Z, Chen J, Luo Y, Wang B, Ge Z, Yang Q.   +14 more
europepmc   +1 more source