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...
The role of artificial intelligence in hastening time to recruitment in clinical trials [0.03%]
人工智能在临床试验招聘提速中的作用
Abdalah Ismail,Talha Al-Zoubi,Issam El Naqa et al.
Abdalah Ismail et al.
Novel and developing artificial intelligence (AI) systems can be integrated into healthcare settings in numerous ways. For example, in the case of automated image classification and natural language processing, AI systems are beginning to d...
Clinical impact of 99mTc-HDP SPECT/CT imaging as standard workup for foot and ankle osteoarthritis [0.03%]
99mTc-HDP SPECT/CT影像作为足踝关节骨关节炎常规检查的影响临床影响分析研究
A J van Hasselt,J Pustjens,A D de Zwart et al.
A J van Hasselt et al.
Objective: The primary aim of this study was to assess to what extent 99mTc-HDP Single photon emission computed tomography/computed tomography (SPECT/CT) will lead to change of diagnosis and treatment, in patients with su...
Guillaume Landry,Christopher Kurz,Alberto Traverso
Guillaume Landry
This review article visits the current state of artificial intelligence (AI) in radiotherapy clinical practice. We will discuss how AI has a place in the modern radiotherapy workflow at the level of automatic segmentation and planning, two ...
The influence of artificial intelligence on the work of the medical physicist in radiotherapy practice: a short review [0.03%]
人工智能在放射治疗实践中的医学物理师工作的影响：综述文章
Emmanuel Fiagbedzi,Francis Hasford,Samuel Nii Tagoe
Emmanuel Fiagbedzi
There have been many applications and influences of Artificial intelligence (AI) in many sectors and its professionals, that of radiotherapy and the medical physicist is no different. AI and technological advances have necessitated changing...
Does the availability of prior mammograms improve radiologists' observer performance?-a scoping review [0.03%]
既往乳腺X线检查的可用性能否提高放射科医生的观察者性能？一项概要性综述
Judith D Akwo,Phuong Trieu,Sarah Lewis
Judith D Akwo
Objective: The objective of this review was to examine the impact of previous mammogram availability on radiologists' performance from screening populations and experimental studies. ...