Results 221 to 230 of about 9,815,891 (273)

Improving portability of knowledge-based planning using an LLM-driven plan refinement framework in lung radiotherapy. [PDF]

Med Phys
Wang Z, Guo H, Lei Y, Samstein R, Rosenzweig KE, Chao M, Liu T, Xia J, Zhang J.   +8 more
europepmc   +1 more source

A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance

Advanced Science, EarlyView.
Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng, Masaki Nasu, Ayman Abdul‐Ghani, Yu Chen, Shaoqiu Chen, Isam Mohd Ibrahim, Hanqiu Zhang, Lauren Higa, Zitong Gao, Hua Yang, Raphael Bueno, Loïc Le Marchand, Youping Deng   +12 more
wiley   +1 more source

Clinical implementation of an automated VMAT treatment planning script for head and neck cancer patients: three-year experience. [PDF]

Front Oncol
Kovalchuk N, Dong P, Hui C, Romero I, Wang Z, Shah L, Pandya R, Xiang M, Moding EJ, Gensheimer MF, Beadle BM, Le QT, Xing L, Yang Y.   +13 more
europepmc   +1 more source

AI-assisted automation will reduce the need for medical physics trainees and entry-level workforce. [PDF]

J Appl Clin Med Phys
Xia J, McMillan A, Wang D.
europepmc   +1 more source

From Algorithms to Clinics: Recent Progress in AI for Scoliosis Diagnosis and Management. [PDF]

J Clin Med
Kosińska R, Fabijan A, Fabijan R, Kosińska L, Nowosławska E, Zakrzewski K, Polis B.   +6 more
europepmc   +1 more source

Multi-modal direct LINAC parameter prediction for pancreatic VMAT: An optimization-free approach. [PDF]

Med Phys
Guan Z, Shimizu Y, Iwai T, Yoshimura M, Mizowaki T, Nakamura M.   +5 more
europepmc   +1 more source

Artificial Intelligence for Chronic Disease Prevention and Management in Sub-Saharan Africa: A World Health Organization Health Systems Building Blocks Perspective. [PDF]

Mayo Clin Proc Digit Health
Amu H, Oppong J.
europepmc   +1 more source

End-to-end deep learning pipeline for automated IMRT planning in lymphoma: Feasibility and limitations. [PDF]

J Appl Clin Med Phys
Kutnár D, Vogelius IR, Georgiev HA, Håkansson KE, Specht L, Petersen J.   +5 more
europepmc   +1 more source

Correction to "Development and validation of an automated, accurate in-house treatment planning system for pencil-beam scanning carbon ion radiotherapy". [PDF]

Med Phys
europepmc   +1 more source

Automation of radiotherapy treatment planning for breast cancer

openaire   +1 more source