Results 131 to 140 of about 13,490 (218)

FilmQADose: Open-source software for radiochromic film dosimetry. [PDF]

J Appl Clin Med Phys
Herrera-Alba E, Contreras-Quiroz C, Sandoval-Navia J, Vásquez J, Ávila C.   +4 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

PCA-based respiratory motion modeling for individualized PTV margin optimization in NSCLC radiotherapy. [PDF]

J Appl Clin Med Phys
Quang HD, Thanh CN, Kieu THT, Van TC.
europepmc   +1 more source

Ovarian Cancer: Epidemiology, Disease Mechanisms, New Diagnosis and Treatment Strategies, and Research Directions

iNew Medicine, EarlyView.
ABSTRACT Ovarian cancer (OC) continues to be the deadliest gynecological malignancy and a significant cause of cancer‐related mortality among women worldwide. Standard treatment strategies typically entail platinum‐based chemotherapy in conjunction with cytoreductive surgery.
Zunera Khalid, Weirong Fan, Farah Nazir, Yixiang Xing, Tengchuan Jin   +4 more
wiley   +1 more source

Development of an Integrated Radiotherapy Simulation Platform with AI-Driven Segmentation and Ray-Casting-Based Dosimetric Evaluation. [PDF]

Bioengineering (Basel)
Lee CY, Fu HJ, Chiang PY, Vu-Dinh H, Chang HC, Yau HT.   +5 more
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

Analysis of Surface Guidance Versus Laser Alignment for Precision Lung Cancer Particle Therapy. [PDF]

Technol Cancer Res Treat
Zhang X, Yang Y, Mao J, Sheng Y.
europepmc   +1 more source

Dopamine Transporter Imaging‐Based Radiomics for Predicting 4‐Year Motor Progression (Unified Parkinson's Disease Rating Scale Part III) in Parkinson's Disease

iRADIOLOGY, EarlyView.
Magnetic resonance imaging (MRI)‐guided dopamine transporter (DAT) radiomics combined with machine learning showed promising performance for predicting 4‐year motor progression in Parkinson's disease. Ensemble voting fusion markedly improved discrimination compared with individual base models, with stable predictive features mainly derived from ...
Xiaoxuan Fan, Yanghan Chen, Junfeng Lin, Zenwen Han, Jianqiang Ye, Lili Lin, Hong Zhang, Ang Li, Han Jiang   +8 more
wiley   +1 more source

AI-assisted cryo-dose estimation and tissue injury modeling for assessing side effects in MRI-guided prostate cryoablation: a retrospective study. [PDF]

Phys Med Biol
Moreira P, Ma M, Fordham N, Vangel M, Tempany C, Tuncali K, Tokuda J.   +6 more
europepmc   +1 more source

Advanced Molecular Imaging Probes for Skeletal Diseases: Current Progress and Future Perspectives

iRADIOLOGY, EarlyView.
This review summarizes the potential molecular imaging techniques and probes for common orthopedic diseases, such as trauma, infection, metabolism, tumor, joint, spine and other fields, aiming to provide a basis for the development of a new generation of molecular imaging probes.
Shuo Guo, Yuling Cui, Zhiye Fan, Chenxin Jiang, Bowen Fu, Guangbin Cui, Yanli He   +6 more
wiley   +1 more source