Radiotherapy dose escalation using pre-treatment diffusion-weighted imaging in locally advanced rectal cancer: a planning study [0.03%]
在局部晚期直肠癌中利用治疗前的扩散加权成像提升放射治疗的剂量：一个计划研究
Nathan Hearn,Alexandria Leppien,Patrick O&#x;Connor et al.
Nathan Hearn et al.
Objectives: Diffusion-weighted MRI (DWI) may provide biologically relevant target volumes for dose-escalated radiotherapy in locally advanced rectal cancer (LARC). This planning study assessed the dosimetric feasibility o...
Anatomical variations in the circle of Willis on magnetic resonance angiography in a south Trinidad population [0.03%]
磁共振血管造影在特立尼达南部人口中Willis环的解剖变异研究
Jason Diljohn,Fidel Rampersad,Paramanand Maharaj et al.
Jason Diljohn et al.
Objectives: This article seeks to determine the prevalence of a complete circle of Willis (CoW) and its common morphological variations in a south Trinidad population, while also investigating the influence of gender, age...
State of the art: radiomics and radiomics-related artificial intelligence on the road to clinical translation [0.03%]
最新进展：走向临床应用的影像组学及相关的人工智能技术
Shweta Majumder,Sharyn Katz,Despina Kontos et al.
Shweta Majumder et al.
Radiomics and artificial intelligence carry the promise of increased precision in oncologic imaging assessments due to the ability of harnessing thousands of occult digital imaging features embedded in conventional medical imaging data. Whi...
Radiology and the medical student: do increased hours of teaching translate to more radiologists? [0.03%]
放射学和医学生：更多的教学时间能培养出更多的放射科医生吗？
Aisha Shaheen Hameed,Aneesa K Hameed
Aisha Shaheen Hameed
Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe [0.03%]
负责任的人工智能实践和人工智能教育是欧洲所有医学影像专业人员实施人工智能的核心：快速回顾研究报告
Gemma Walsh,Nikolaos Stogiannos,Riaan van de Venter et al.
Gemma Walsh et al.
Artificial intelligence (AI) has transitioned from the lab to the bedside, and it is increasingly being used in healthcare. Radiology and Radiography are on the frontline of AI implementation, because of the use of big data for medical imag...
CT image-based biomarkers acquired by AI-based algorithms for the opportunistic prediction of falls [0.03%]
基于人工智能算法的CT影像生物标志物用于机会性跌倒预测
Daniel Liu,Neil C Binkley,Alberto Perez et al.
Daniel Liu et al.
Objective: Evaluate whether biomarkers measured by automated artificial intelligence (AI)-based algorithms are suggestive of future fall risk. Methods: ...
Alex Ghorishi,Amaris Alayon,Tarek Ghaddar et al.
Alex Ghorishi et al.
Vasculitides represent the wide-ranging series of complex inflammatory diseases that involve inflammation of blood vessel walls. These conditions are characterized according to the caliber of the predominantly involved vessels. The work-up ...
Spectrum of MRI findings of foetal alcohol syndrome disorders-what we know and what we need to know! [0.03%]
胎儿酒精谱系障碍的MRI表现：我们所知和未知！
Saad Sharif,Naeha Lakshmanan,Farhana Sharif et al.
Saad Sharif et al.
The exposure to alcohol in utero has been known to damage the developing foetus. Foetal alcohol spectrum disorders is an umbrella term that highlights a range of adverse effects linked to alcohol exposure in utero. Multiple studies have sho...
The effect of spatial resolution on deep learning classification of lung cancer histopathology [0.03%]
空间分辨率对基于深度学习的肺癌病理分类的影响
Mitchell Wiebe,Christina Haston,Michael Lamey et al.
Mitchell Wiebe et al.
Objective: The microscopic analysis of biopsied lung nodules represents the gold-standard for definitive diagnosis of lung cancer. Deep learning has achieved pathologist-level classification of non-small cell lung cancer ...
Olga Maxouri,Zuhir Bodalal,Mariah Daal et al.
Olga Maxouri et al.
Magnetic resonance imaging (MRI) plays a significant role in the routine imaging workflow, providing both anatomical and functional information. 19F MRI is an evolving imaging modality where instead of 1H, 19F nuclei are excited. As the sig...