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https://www.readbyqxmd.com/read/28433591/-artificial-intelligence-applied-to-radiation-oncology
#1
J-E Bibault, A Burgun, P Giraud
Performing randomised comparative clinical trials in radiation oncology remains a challenge when new treatment modalities become available. One of the most recent examples is the lack of phase III trials demonstrating the superiority of intensity-modulated radiation therapy in most of its current indications. A new paradigm is developing that consists in the mining of large databases to answer clinical or translational issues. Beyond national databases (such as SEER or NCDB), that often lack the necessary level of details on the population studied or the treatments performed, electronic health records can be used to create detailed phenotypic profiles of any patients...
April 19, 2017: Cancer Radiothérapie: Journal de la Société Française de Radiothérapie Oncologique
https://www.readbyqxmd.com/read/28423745/reasoning-and-data-representation-in-a-health-and-lifestyle-support-system
#2
Sten Hanke, Karl Kreiner, Johannes Kropf, Marc Scase, Christian Gossy
Case-based reasoning and data interpretation is an artificial intelligence approach that capitalizes on past experience to solve current problems and this can be used as a method for practical intelligent systems. Case-based data reasoning is able to provide decision support for experts and clinicians in health systems as well as lifestyle systems. In this project we were focusing on developing a solution for healthy ageing considering daily activities, nutrition as well as cognitive activities. The data analysis of the reasoner followed state of the art guidelines from clinical practice...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28422856/a-cross-sectional-evaluation-of-meditation-experience-on-electroencephalography-data-by-artificial-neural-network-and-support-vector-machine-classifiers
#3
Yu-Hao Lee, Ya-Ju Hsieh, Yung-Jong Shiah, Yu-Huei Lin, Chiao-Yun Chen, Yu-Chang Tyan, JiaCheng GengQiu, Chung-Yao Hsu, Sharon Chia-Ju Chen
To quantitate the meditation experience is a subjective and complex issue because it is confounded by many factors such as emotional state, method of meditation, and personal physical condition. In this study, we propose a strategy with a cross-sectional analysis to evaluate the meditation experience with 2 artificial intelligence techniques: artificial neural network and support vector machine. Within this analysis system, 3 features of the electroencephalography alpha spectrum and variant normalizing scaling are manipulated as the evaluating variables for the detection of accuracy...
April 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28422093/quantum-enhanced-inference-in-markov-logic-networks
#4
Peter Wittek, Christian Gogolin
Markov logic networks (MLNs) reconcile two opposing schools in machine learning and artificial intelligence: causal networks, which account for uncertainty extremely well, and first-order logic, which allows for formal deduction. An MLN is essentially a first-order logic template to generate Markov networks. Inference in MLNs is probabilistic and it is often performed by approximate methods such as Markov chain Monte Carlo (MCMC) Gibbs sampling. An MLN has many regular, symmetric structures that can be exploited at both first-order level and in the generated Markov network...
April 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28420257/gestational-diabetes-management-using-smart-mobile-telemedicine
#5
Mercedes Rigla, Iñaki Martínez-Sarriegui, Gema García-Sáez, Belén Pons, Maria Elena Hernando
Gestational diabetes (GDM) burden has been increasing progressively over the past years. Knowing that intrauterine exposure to maternal diabetes confers high risk for macrosomia as well as for future type 2 diabetes and obesity of the offspring, health care organizations try to provide effective control in spite of the limited resources. Artificial-intelligence-augmented telemedicine has been proposed as a helpful tool to facilitate an efficient widespread medical assistance to GDM. The aim of the study we present was to test the feasibility and acceptance of a mobile decision-support system for GDM, developed in the seventh framework program MobiGuide Project, which includes computer-interpretable clinical practice guidelines, access to data from the electronic health record as well as from glucose, blood pressure, and activity sensors...
April 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28420077/recognition-of-the-duration-and-prediction-of-insect-prevalence-of-stored-rough-rice-infested-by-the-red-flour-beetle-tribolium-castaneum-herbst-using-an-electronic-nose
#6
Sai Xu, Zhiyan Zhou, Keliang Li, Sierra Mari Jamir, Xiwen Luo
The purpose of this research is to explore the feasibility of applying an electronic nose for the intelligent monitoring of injurious insects in a stored grain environment. In this study, we employed an electronic nose to sample rough rice that contained three degrees of red flour beetle (Tribolium castaneum Herbst) infestation for different durations-light degree (LD), middle degree (MD), and heavy degree (HD)-and manually investigated the insect situation at the same time. Manual insect situation investigation shows that, in all three rice treatments, the insect amounts gradually decreased after infestation...
April 14, 2017: Sensors
https://www.readbyqxmd.com/read/28418640/artificially-smart-vesicles-with-superior-structural-stability-fabrication-characterizations-and-transmembrane-traffic
#7
Wen-Jian Zhang, Chun-Yan Hong, Cai-Yuan Pan
Intelligent vesicles are fabricated at up to 30% solid content via an approach of polymerization-induced self-assembly and reorganization (PISR). Upon irradiation with UV light (365 nm), light-triggered dimerization of the coumarin moieties anchored in the membrane leads to the membrane cross-linking of the vesicles, which endows the vesicles with superior structural stability. Due to the tertiary amine groups in the membrane, the vesicles go through a swelling/deswelling change upon switching the pH values...
April 18, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28418055/application-of-machine-statistical-learning-artificial-intelligence-and-statistical-experimental-design-for-the-modeling-and-optimization-of-methylene-blue-and-cd-ii-removal-from-a-binary-aqueous-solution-by-natural-walnut-carbon
#8
H Mazaheri, M Ghaedi, M H Ahmadi Azqhandi, A Asfaram
Analytical chemists apply statistical methods for both the validation and prediction of proposed models. Methods are required that are adequate for finding the typical features of a dataset, such as nonlinearities and interactions. Boosted regression trees (BRTs), as an ensemble technique, are fundamentally different to other conventional techniques, with the aim to fit a single parsimonious model. In this work, BRT, artificial neural network (ANN) and response surface methodology (RSM) models have been used for the optimization and/or modeling of the stirring time (min), pH, adsorbent mass (mg) and concentrations of MB and Cd(2+) ions (mg L(-1)) in order to develop respective predictive equations for simulation of the efficiency of MB and Cd(2+) adsorption based on the experimental data set...
April 18, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28417600/a-bioinspired-mineral-hydrogel-as-a-self-healable-mechanically-adaptable-ionic-skin-for-highly-sensitive-pressure-sensing
#9
Zhouyue Lei, Quankang Wang, Shengtong Sun, Wencheng Zhu, Peiyi Wu
In the past two decades, artificial skin-like materials have received increasing research interests for their broad applications in artificial intelligence, wearable devices, and soft robotics. However, profound challenges remain in terms of imitating human skin because of its unique combination of mechanical and sensory properties. In this work, a bioinspired mineral hydrogel is developed to fabricate a novel type of mechanically adaptable ionic skin sensor. Due to its unique viscoelastic properties, the hydrogel-based capacitive sensor is compliant, self-healable, and can sense subtle pressure changes, such as a gentle finger touch, human motion, or even small water droplets...
April 18, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28412664/new-model-for-prediction-binary-mixture-of-antihistamine-decongestant-using-artificial-neural-networks-and-least-squares-support-vector-machine-by-spectrophotometry-method
#10
Shirin Mofavvaz, Mahmoud Reza Sohrabi, Alireza Nezamzadeh-Ejhieh
In the present study, artificial neural networks (ANNs) and least squares support vector machines (LS-SVM) as intelligent methods based on absorption spectra in the range of 230-300nm have been used for determination of antihistamine decongestant contents. In the first step, one type of network (feed-forward back-propagation) from the artificial neural network with two different training algorithms, Levenberg-Marquardt (LM) and gradient descent with momentum and adaptive learning rate back-propagation (GDX) algorithm, were employed and their performance was evaluated...
April 5, 2017: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/28410309/will-artificial-intelligence-contribute-to-overuse-in-healthcare
#11
Matthieu Komorowski, Leo Anthony Celi
No abstract text is available yet for this article.
May 2017: Critical Care Medicine
https://www.readbyqxmd.com/read/28408601/semantics-derived-automatically-from-language-corpora-contain-human-like-biases
#12
Aylin Caliskan, Joanna J Bryson, Arvind Narayanan
Machine learning is a means to derive artificial intelligence by discovering patterns in existing data. Here, we show that applying machine learning to ordinary human language results in human-like semantic biases. We replicated a spectrum of known biases, as measured by the Implicit Association Test, using a widely used, purely statistical machine-learning model trained on a standard corpus of text from the World Wide Web. Our results indicate that text corpora contain recoverable and accurate imprints of our historic biases, whether morally neutral as toward insects or flowers, problematic as toward race or gender, or even simply veridical, reflecting the status quo distribution of gender with respect to careers or first names...
April 14, 2017: Science
https://www.readbyqxmd.com/read/28406195/artificial-intelligence-outsmart-supply-dips-in-renewable-energy
#13
Valentin Robu, David Flynn
No abstract text is available yet for this article.
April 12, 2017: Nature
https://www.readbyqxmd.com/read/28398265/a-waist-worn-inertial-measurement-unit-for-long-term-monitoring-of-parkinson-s-disease-patients
#14
Daniel Rodríguez-Martín, Carlos Pérez-López, Albert Samà, Andreu Català, Joan Manuel Moreno Arostegui, Joan Cabestany, Berta Mestre, Sheila Alcaine, Anna Prats, María de la Cruz Crespo, Àngels Bayés
Inertial measurement units (IMUs) are devices used, among other fields, in health applications, since they are light, small and effective. More concretely, IMUs have been demonstrated to be useful in the monitoring of motor symptoms of Parkinson's disease (PD). In this sense, most of previous works have attempted to assess PD symptoms in controlled environments or short tests. This paper presents the design of an IMU, called 9 × 3, that aims to assess PD symptoms, enabling the possibility to perform a map of patients' symptoms at their homes during long periods...
April 11, 2017: Sensors
https://www.readbyqxmd.com/read/28393769/artificial-intelligence-in-mitral-valve-analysis
#15
Jelliffe Jeganathan, Ziyad Knio, Yannis Amador, Ting Hai, Arash Khamooshian, Robina Matyal, Kamal R Khabbaz, Feroze Mahmood
BACKGROUND: Echocardiographic analysis of mitral valve (MV) has become essential for diagnosis and management of patients with MV disease. Currently, the various software used for MV analysis require manual input and are prone to interobserver variability in the measurements. AIM: The aim of this study is to determine the interobserver variability in an automated software that uses artificial intelligence for MV analysis. SETTINGS AND DESIGN: Retrospective analysis of intraoperative three-dimensional transesophageal echocardiography data acquired from four patients with normal MV undergoing coronary artery bypass graft surgery in a tertiary hospital...
April 2017: Annals of Cardiac Anaesthesia
https://www.readbyqxmd.com/read/28389682/-the-triumph-of-stupidity-deep-blue-s-victory-over-garri-kasparov-the-controversy-about-its-impact-on-artficial-intelligence-research
#16
Martina Heßler
The competition between the chess computer Deep Blue and the former chess world champion Garri Kasparov in 1997 was a spectacle staged for the media. However, the chess game, like other games, was also a test field for artificial intelligence research. On the one hand Deep Blue's victory was called a "milestone" for AI research, on the other hand, a dead end, since the superiority of the chess computer was based on pure computing power and had nothing to do with "real" AI.The article questions the premises of these different interpretations and maps Deep Blue and its way of playing chess into the history of AI...
April 7, 2017: NTM
https://www.readbyqxmd.com/read/28386037/using-artificial-intelligence-to-reduce-the-risk-of-nonadherence-in-patients-on-anticoagulation-therapy
#17
Daniel L Labovitz, Laura Shafner, Morayma Reyes Gil, Deepti Virmani, Adam Hanina
BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulants, while reducing the need for monitoring, have also placed pressure on patients to self-manage. Suboptimal adherence goes undetected as routine laboratory tests are not reliable indicators of adherence, placing patients at increased risk of stroke and bleeding...
April 6, 2017: Stroke; a Journal of Cerebral Circulation
https://www.readbyqxmd.com/read/28384614/how-much-information-about-embryo-implantation-potential-is-included-in-morphokinetic-data-a-prediction-model-based-on-artificial-neural-networks-and-principal-component-analysis
#18
Robert Milewski, Agnieszka Kuczyńska, Bożena Stankiewicz, Waldemar Kuczyński
PURPOSE: The aim of this study was to answer the question of how much information about embryo implantation potential can be obtained from morphokinetic parameters through the creation a predictive model based on morphokinetic information and using advanced data-mining and artificial intelligence methods. MATERIALS AND METHODS: Time-lapse recordings of 610 embryos were included in the analysis. For each embryo, absolute (t2, t3, t4, t5) and relative (cc2 and s2) morphokinetic parameters were collected...
April 3, 2017: Advances in Medical Sciences
https://www.readbyqxmd.com/read/28382857/prediction-of-human-intestinal-absorption-of-compounds-using-artificial-intelligence-techniques
#19
Rajnish Kumar, Anju Sharma, Mohammed Haris Siddiqui, Rajesh Kumar Tiwari
Information about Pharmacokinetics of compounds is an essential component of drug design and development. Modeling the pharmacokinetic properties require identification of the factors effecting absorption, distribution, metabolism and excretion of compounds. There have been continuous attempts in the prediction of absorption of compounds using various Artificial intelligence methods in the effort to reduce the attrition rate of drug candidates entering to preclinical and clinical trials. Currently, there are large numbers of individual predictive models available for absorption using machine learning approaches...
April 4, 2017: Current Drug Discovery Technologies
https://www.readbyqxmd.com/read/28382802/major-clinical-research-advances-in-gynecologic-cancer-in-2016-10-year-special-edition
#20
REVIEW
Dong Hoon Suh, Miseon Kim, Kidong Kim, Hak Jae Kim, Kyung Hun Lee, Jae Weon Kim
In 2016, 13 topics were selected as major research advances in gynecologic oncology. For ovarian cancer, study results supporting previous ones regarding surgical preventive strategies were reported. There were several targeted agents that showed comparable responses in phase III trials, including niraparib, cediranib, and nintedanib. On the contrary to our expectations, dose-dense weekly chemotherapy regimen failed to prove superior survival outcomes compared with conventional triweekly regimen. Single-agent non-platinum treatment to prolong platinum-free-interval in patients with recurrent, partially platinum-sensitive ovarian cancer did not improve and even worsened overall survival (OS)...
May 2017: Journal of Gynecologic Oncology
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