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https://www.readbyqxmd.com/read/29045255/listening-to-relaxing-music-improves-physiological-responses-in-premature-infants-a-randomized-controlled-trial
#1
Rafael A Caparros-Gonzalez, Alejandro de la Torre-Luque, Carolina Diaz-Piedra, Francisco J Vico, Gualberto Buela-Casal
BACKGROUND: Premature infants are exposed to high levels of noise in the neonatal intensive care unit (NICU). PURPOSE: This study evaluated the effect of a relaxing music therapy intervention composed by artificial intelligence on respiratory rate, systolic and diastolic blood pressure, and heart rate. METHODS: A double-blind, randomized, controlled trial was conducted in the NICUs of 2 general public hospitals in Andalusia, Spain. Participants were 17 healthy premature infants, randomly allocated to the intervention group or the control group (silence) at a 1:1 ratio...
October 17, 2017: Advances in Neonatal Care: Official Journal of the National Association of Neonatal Nurses
https://www.readbyqxmd.com/read/28980130/artificial-intelligence-in-cardiology
#2
REVIEW
Diana Bonderman
Decision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are able to extract meaningful patterns from data collections and build decisions upon identified patterns may be useful assistants in clinical decision-making processes. In this article, artificial intelligence-based studies in clinical cardiology are reviewed. The text also touches on the ethical issues and speculates on the future roles of automated algorithms versus clinicians in cardiology and medicine in general...
October 4, 2017: Wiener Klinische Wochenschrift
https://www.readbyqxmd.com/read/28903886/patient-privacy-in-the-era-of-big-data
#3
Mehmet Kayaalp
Privacy was defined as a fundamental human right in the Universal Declaration of Human Rights at the 1948 United Nations General Assembly. However, there is still no consensus on what constitutes privacy. In this review, we look at the evolution of privacy as a concept from the era of Hippocrates to the era of social media and big data. To appreciate the modern measures of patient privacy protection and correctly interpret the current regulatory framework in the United States, we need to analyze and understand the concepts of individually identifiable information, individually identifiable health information, protected health information (PHI), and de-identification...
September 13, 2017: Balkan Medical Journal
https://www.readbyqxmd.com/read/28864396/environmental-indicators-of-oyster-norovirus-outbreaks-in-coastal-waters
#4
Shima Shamkhali Chenar, Zhiqiang Deng
This paper presents an artificial intelligence-based approach to identifying environmental indicators of oyster norovirus outbreaks in coastal waters. It was found that oyster norovirus outbreaks are generally linked to the extreme combination of antecedent environmental conditions characterized by low water temperature, low solar radiation, low gage height, low salinity, strong wind, and heavy precipitation. Among the six environmental indicators, the most important three indicators, including water temperature, solar radiation and gage height, are capable of explaining 77...
August 25, 2017: Marine Environmental Research
https://www.readbyqxmd.com/read/28814023/representing-high-dimensional-data-to-intelligent-prostheses-and-other-wearable-assistive-robots-a-first-comparison-of-tile-coding-and-selective-kanerva-coding
#5
Jaden B Travnik, Patrick M Pilarski
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor data available to a conventional or machine learning prosthetic control system increases in dimensionality and complexity, it becomes increasingly important that this data be represented in a useful and computationally efficient way. Well structured sensory data allows prosthetic control systems to make informed, appropriate control decisions. In this study, we explore the impact that increased sensorimotor information has on current machine learning prosthetic control approaches...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28791547/data-based-prediction-of-blood-glucose-concentrations-using-evolutionary-methods
#6
J Ignacio Hidalgo, J Manuel Colmenar, Gabriel Kronberger, Stephan M Winkler, Oscar Garnica, Juan Lanchares
Predicting glucose values on the basis of insulin and food intakes is a difficult task that people with diabetes need to do daily. This is necessary as it is important to maintain glucose levels at appropriate values to avoid not only short-term, but also long-term complications of the illness. Artificial intelligence in general and machine learning techniques in particular have already lead to promising results in modeling and predicting glucose concentrations. In this work, several machine learning techniques are used for the modeling and prediction of glucose concentrations using as inputs the values measured by a continuous monitoring glucose system as well as also previous and estimated future carbohydrate intakes and insulin injections...
August 8, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28678162/monitoring-based-model-for-personalizing-the-clinical-process-of-crohn-s-disease
#7
Alberto de Ramón-Fernández, Daniel Ruiz-Fernández, Diego Marcos-Jorquera, Virgilio Gilart-Iglesias, Víctor Vives-Boix
Crohn's disease is a chronic pathology belonging to the group of inflammatory bowel diseases. Patients suffering from Crohn's disease must be supervised by a medical specialist for the rest of their lives; furthermore, each patient has its own characteristics and is affected by the disease in a different way, so health recommendations and treatments cannot be generalized and should be individualized for a specific patient. To achieve this personalization in a cost-effective way using technology, we propose a model based on different information flows: control, personalization, and monitoring...
July 5, 2017: Sensors
https://www.readbyqxmd.com/read/28663789/molecular-and-phenotypic-biomarkers-of-aging
#8
REVIEW
Xian Xia, Weiyang Chen, Joseph McDermott, Jing-Dong Jackie Han
Individuals of the same age may not age at the same rate. Quantitative biomarkers of aging are valuable tools to measure physiological age, assess the extent of 'healthy aging', and potentially predict health span and life span for an individual. Given the complex nature of the aging process, the biomarkers of aging are multilayered and multifaceted. Here, we review the phenotypic and molecular biomarkers of aging. Identifying and using biomarkers of aging to improve human health, prevent age-associated diseases, and extend healthy life span are now facilitated by the fast-growing capacity of multilevel cross-sectional and longitudinal data acquisition, storage, and analysis, particularly for data related to general human populations...
2017: F1000Research
https://www.readbyqxmd.com/read/28634156/classifying-chinese-questions-related-to-health-care-posted-by-consumers-via-the-internet
#9
Haihong Guo, Xu Na, Li Hou, Jiao Li
BACKGROUND: In question answering (QA) system development, question classification is crucial for identifying information needs and improving the accuracy of returned answers. Although the questions are domain-specific, they are asked by non-professionals, making the question classification task more challenging. OBJECTIVE: This study aimed to classify health care-related questions posted by the general public (Chinese speakers) on the Internet. METHODS: A topic-based classification schema for health-related questions was built by manually annotating randomly selected questions...
June 20, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28566328/somatic-mutations-drive-distinct-imaging-phenotypes-in-lung-cancer
#10
Emmanuel Rios Velazquez, Chintan Parmar, Ying Liu, Thibaud P Coroller, Gisele Cruz, Olya Stringfield, Zhaoxiang Ye, Mike Makrigiorgos, Fiona Fennessy, Raymond H Mak, Robert Gillies, John Quackenbush, Hugo J W L Aerts
Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific mutations, artificial intelligence methods can automatically quantify phenotypic characters by using predefined, engineered algorithms or automatic deep-learning methods, a process also known as radiomics. Here we demonstrate how imaging phenotypes can be connected to somatic mutations through an integrated analysis of independent datasets of 763 lung adenocarcinoma patients with somatic mutation testing and engineered CT image analytics...
July 15, 2017: Cancer Research
https://www.readbyqxmd.com/read/28537378/self-healing-highly-sensitive-electronic-sensors-enabled-by-metal-ligand-coordination-and-hierarchical-structure-design
#11
Yangyang Han, Xiaodong Wu, Xinxing Zhang, Canhui Lu
Electronic sensors capable of capturing mechanical deformation are highly desirable for the next generation of artificial intelligence products. However, it remains a challenge to prepare self-healing, highly sensitive, and cost-efficient sensors for both tiny and large human motion monitoring. Here, a new kind of self-healing, sensitive, and versatile strain sensors has been developed by combining metal-ligand chemistry with hierarchical structure design. Specifically, a self-healing and nanostructured conductive layer is deposited onto a self-healing elastomer substrate cross-linked by metal-ligand coordinate bonds, forming a hierarchically structured sensor...
June 1, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28537025/prediction-of-dissolved-oxygen-concentration-in-hypoxic-river-systems-using-support-vector-machine-a-case-study-of-wen-rui-tang-river-china
#12
Xiaoliang Ji, Xu Shang, Randy A Dahlgren, Minghua Zhang
Accurate quantification of dissolved oxygen (DO) is critically important for managing water resources and controlling pollution. Artificial intelligence (AI) models have been successfully applied for modeling DO content in aquatic ecosystems with limited data. However, the efficacy of these AI models in predicting DO levels in the hypoxic river systems having multiple pollution sources and complicated pollutants behaviors is unclear. Given this dilemma, we developed a promising AI model, known as support vector machine (SVM), to predict the DO concentration in a hypoxic river in southeastern China...
July 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28535929/genetic-coding-and-united-hypercomplex-systems-in-the-models-of-algebraic-biology
#13
REVIEW
Sergey V Petoukhov
Structured alphabets of DNA and RNA in their matrix form of representations are connected with Walsh functions and a new type of systems of multidimensional numbers. This type generalizes systems of complex numbers and hypercomplex numbers, which serve as the basis of mathematical natural sciences and many technologies. The new systems of multi-dimensional numbers have interesting mathematical properties and are called in a general case as "systems of united-hypercomplex numbers" (or briefly "U-hypercomplex numbers")...
May 20, 2017: Bio Systems
https://www.readbyqxmd.com/read/28488985/an-alternative-paradigm-for-evidence-based-medicine-revisiting-lawrence-weed-md-s-systems-approach
#14
Ali Rafik Shukor
Lawrence Weed, MD, is renowned for being the father of the Problem-Oriented Medical Record (POMR), the medical care standard for collecting, managing, and contextualizing patient data in medical records. What have been consistently overlooked are his teachings on knowledge coupling, which refers to matching patient data with associated medical knowledge. Together, the POMR standard and knowledge coupling are meant to form the basis of a systems approach that enables individualized evidence-based decision making within the context of multimorbidity and patient complexity...
2017: Permanente Journal
https://www.readbyqxmd.com/read/28471111/intelligent-diagnosis-of-jaundice-with-dynamic-uncertain-causality-graph-model
#15
Shao-Rui Hao, Shi-Chao Geng, Lin-Xiao Fan, Jia-Jia Chen, Qin Zhang, Lan-Juan Li
Jaundice is a common and complex clinical symptom potentially occurring in hepatology, general surgery, pediatrics, infectious diseases, gynecology, and obstetrics, and it is fairly difficult to distinguish the cause of jaundice in clinical practice, especially for general practitioners in less developed regions. With collaboration between physicians and artificial intelligence engineers, a comprehensive knowledge base relevant to jaundice was created based on demographic information, symptoms, physical signs, laboratory tests, imaging diagnosis, medical histories, and risk factors...
May 2017: Journal of Zhejiang University. Science. B
https://www.readbyqxmd.com/read/28423745/reasoning-and-data-representation-in-a-health-and-lifestyle-support-system
#16
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/28382802/major-clinical-research-advances-in-gynecologic-cancer-in-2016-10-year-special-edition
#17
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
https://www.readbyqxmd.com/read/28373615/the-co-existence-of-technology-and-caring-in-the-theory-of-technological-competency-as-caring-in-nursing
#18
Rozzano C Locsin
The coexistence of technology and caring is best exemplified in nursing. The theory of Technological Competency as Caring in Nursing illuminates this coexistence as the essence of technology in health care premised on machine technologies as a generic concept of objects or things that are mechanical, organic, and electronic. With its timely development these technologies are continually imbued with artificial general intelligence. As such, the ultimate expression of machine technologies in nursing turns out to be autonomous robots (ARs) with future potentials of functions comparable to human persons...
2017: Journal of Medical Investigation: JMI
https://www.readbyqxmd.com/read/28353110/heavy-metal-monitoring-analysis-and-prediction-in-lakes-and-rivers-state-of-the-art
#19
REVIEW
Adnan Elzwayie, Haitham Abdulmohsin Afan, Mohammed Falah Allawi, Ahmed El-Shafie
Several research efforts have been conducted to monitor and analyze the impact of environmental factors on the heavy metal concentrations and physicochemical properties of water bodies (lakes and rivers) in different countries worldwide. This article provides a general overview of the previous works that have been completed in monitoring and analyzing heavy metals. The intention of this review is to introduce the historical studies to distinguish and understand the previous challenges faced by researchers in analyzing heavy metal accumulation...
May 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28341861/minimum-vertex-type-sequence-indexing-for-clusters-on-square-lattice
#20
Longguang Liao, Yu-Jun Zhao, Zexian Cao, Xiao-Bao Yang
An effective indexing scheme for clusters that enables fast structure comparison and congruence check is desperately desirable in the field of mathematics, artificial intelligence, materials science, etc. Here we introduce the concept of minimum vertex-type sequence for the indexing of clusters on square lattice, which contains a series of integers each labeling the vertex type of an atom. The minimum vertex-type sequence is orientation independent, and it builds a one-to-one correspondence with the cluster...
March 24, 2017: Scientific Reports
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