Artificial intelligence in medical physics: needs and challenges in South Asia's low-resource settings [0.03%]
人工智能在医学物理中的应用：南亚低资源环境下的需求和挑战
Bushra Intakhab,Ahmed Ali,Andreas Kyriacou
Bushra Intakhab
Background: Artificial Intelligence (AI) has the potential to significantly transform healthcare, including the field of medical physics. However, the extent of AI integration in medical physics, especially in developing ...
Feasibility of intracranial stereotactic radiotherapy on Halcyon™ with SGRT and open-face masks [0.03%]
采用体部伽玛刀及表面引导系统治疗颅内肿瘤的可行性研究
Estelle Palaysi,Daniel Nguyen,Jad Farah et al.
Estelle Palaysi et al.
Purpose: To assess the clinical feasibility and setup accuracy of using open-face masks in combination with the AlignRT® InBore surface-guided radiation therapy (SGRT) system on the Halcyon™ for intracranial stereotacti...
Evaluation of exposure incidents in PET-CT examinations through root cause analysis [0.03%]
基于根本原因分析的PET/CT检查中的职业照射事件评价研究
Angélica Valentina Osorio Oliveros,Johana Alexandra Velasco Jaramillo,Harley Alejo-Martínez et al.
Angélica Valentina Osorio Oliveros et al.
Purpose: To implement a continuous improvement cycle aimed at identifying and reducing radiation exposure incidents in patients undergoing PET-CT scans. M...
Survey evidence demands professional guidance on large language model use in medical physics [0.03%]
调查证据要求在医学物理中使用大型语言模型的专业指导
Stanley A Norris,Tomas Kron,Michael J J Douglass et al.
Stanley A Norris et al.
Occupational radiation doses in CT-guided interventions: A multicentre evaluation with special emphasis on lung biopsies and eye lens doses [0.03%]
多中心评估CT引导介入操作的职业辐射剂量并重点关注肺活检和晶状体剂量
Hemmo Hartikainen,Antti Pekkarinen,Touko Kaasalainen et al.
Hemmo Hartikainen et al.
Purpose: This study aimed to investigate eye lens and whole-body radiation doses received by interventional radiologists during CT-guided procedures, with a particular focus on lung biopsies. ...
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: Clinical insights, pitfalls, and observer agreement analyses [0.03%]
PET/CT影像淋巴瘤检测与定量的深度神经网络评价框架：临床见解、缺陷和观察者一致性分析
Shadab Ahamed,Yixi Xu,Sara Kurkowska et al.
Shadab Ahamed et al.
Purpose: This study addresses critical gaps in automated lymphoma segmentation from PET/CT imaging, often overlooked in prior work. While deep learning has been applied to this task, few studies evaluate generalizability ...
Impact of sensitive volume dimensions on microdosimetric measurements of radiation quality for proton therapy [0.03%]
敏感体积尺寸对质子治疗辐射质量微剂量学测量的影响研究
J Magini,F Romano,G Schettino
J Magini
Introduction Macroscopic dosimetric quantities (dose, LET) are ill suited for describing the effect of clinical proton beams at sub-cellular level. Microdosimetry provides a stochastic description of microscopic interactions, suitable for t...
Fast scanning in chest CT: Investigating clinical and technical image quality features [0.03%]
胸部CT快速扫描：调查临床和技术图像质量特征
Vera Tormodsrud,Jan Glittum,David J Goodenough et al.
Vera Tormodsrud et al.
Objectives: The main objective of this study was to investigate how ultra-fast CT scanning influences cardiac pulsation artefacts and image quality in low dose chest CT, clinically and in a non-moving 3D resolution phanto...
Respiratory gated proton therapy for liver cancer: Setup and gating validation based on fiducial marker motion extracted from 2D kV projection images acquired during cone-beam CT [0.03%]
基于锥形束CT期间二维千伏投影图像的标记物运动提取的呼吸门控质子治疗肝癌的设置和门控验证
Esben Schjødt Worm,Saber Nankali,Jakob Borup Thomsen et al.
Esben Schjødt Worm et al.
Purpose: To investigate the use of CBCT projection images for improved setup and gating validation in respiratory gated proton therapy for liver cancer. M...
Advancing radiotherapy with deep Learning: A review of dose prediction models [0.03%]
基于深度学习的放射治疗剂量预测模型进展：综述
Parvaneh Darkhor,Bijan Hashemi,Alireza Farajollahi et al.
Parvaneh Darkhor et al.
Background: Artificial intelligence (AI), especially deep learning algorithms, holds significant promise in transforming radiation therapy by enabling more precise, personalized, and efficient treatment planning. In parti...