This page shows you your search results in order of date. This is page number 8.

Order by Relevance | Date

Total 29140 results found since Jan 2013.

Artificial Intelligence in Pathology: A Simple and Practical Guide
Artificial intelligence (AI) is having an increasing impact on the field of pathology, as computation techniques allow computers to perform tasks previously performed by people. Here, we offer a simple and practical guide to AI methods used in pathology, such as digital image analysis, next-generation sequencing, and natural language processing. We not only provide a comprehensive review, but also discuss relevant history and future directions of AI in pathology. We additionally provide a short tabular dictionary of AI terminology which will help practicing pathologists and researchers to understand this field.
Source: Advances in Anatomic Pathology - October 9, 2020 Category: Pathology Tags: Review Articles Source Type: research

Examining the Relationship of Emotional Intelligence and Cultural Empathy in Addiction Counselors
The purpose of this study was to examine the relationship between emotional intelligence and cultural empathy in addiction counselors. A hierarchical regression analysis revealed emotional intelligence accounted for most of the variance in cultural empathy in this model.
Source: Journal of Addictions and Offender Counseling - October 9, 2020 Category: Criminology Authors: Joshua D. Smith, Pamela S. Lassiter, Daniel Gutierrez Tags: Article Source Type: research

Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics
This article reviews the important potential applications of informatics and AI related to process improvement and operations in the radiology department.
Source: Neuroimaging Clinics - October 8, 2020 Category: Radiology Authors: Laurent Letourneau-Guillon, David Camirand, Francois Guilbert, Reza Forghani Source Type: research

An East Coast Perspective on Artificial Intelligence and Machine Learning
This article reviews the use of deep learning convolutional neural networks in the management of ischemic stroke. Artificial intelligence-based algorithms may be used in patient triage to detect and sound the alarm based on early imaging, alert care teams, and assist in treatment selection. This article reviews algorithms for artificial intelligence techniques that may be used to detect and localize acute ischemic stroke. We describe artificial intelligence algorithms for these tasks and illustrate them with examples.
Source: Neuroimaging Clinics - October 8, 2020 Category: Radiology Authors: Rajiv Gupta, Sanjith Prahas Krishnam, Pamela W. Schaefer, Michael H. Lev, R. Gilberto Gonzalez Source Type: research

Will AI-Based Automation Replace Basic Primary Care? Should It?
By KEN TERRY In a recent podcast about the future of telehealth, Lyle Berkowitz, MD, a technology consultant, entrepreneur, and professor at Northwestern University’s Feinberg School of Medicine, confidently predicted that, because of telehealth and clinical automation, “In 10-20 years, we won’t need primary care physicians [for routine care]. The remaining PCPs will specialize in caring for complicated patients. Other than that, if people need care, they’ll go to NPs or PAs or receive automated care with the help of AI.” Berkowitz isn’t the first to make this kind of prediction. Back in 2013, when mo...
Source: The Health Care Blog - October 7, 2020 Category: Consumer Health News Authors: Christina Liu Tags: Artificial Intelligence Health Tech AI Ken Terry primary care Source Type: blogs

Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
Publication date: Available online 7 October 2020Source: Artificial Intelligence in MedicineAuthor(s): Marija D. Ivanović, Julius Hannink, Matthias Ring, Fabio Baronio, Vladan Vukčević, Ljupco Hadžievski, Bjoern Eskofier
Source: Artificial Intelligence in Medicine - October 7, 2020 Category: Bioinformatics Source Type: research

Supervised classification of bradykinesia in Parkinson's disease from smartphone videos
Publication date: Available online 6 October 2020Source: Artificial Intelligence in MedicineAuthor(s): Stefan Williams, Samuel D. Relton, Hui Fang, Jane Alty, Rami Qahwaji, Christopher D. Graham, David C. Wong
Source: Artificial Intelligence in Medicine - October 7, 2020 Category: Bioinformatics Source Type: research

New Artificial Intelligence Algorithm Uses Routine Clinical Laboratory Tests to Identify Patients Likely Infected with COVID-19
At hospitals where results of molecular COVID-19 testing can take up to several days to return, this new method for identifying potentially infected patients could improve triage Frustrated by shortages of essential COVID-19 tests and supplies—as well by lengthy coronavirus test turn-around times—researchers at Weill Cornell Medicine have created an Artificial Intelligence (AI) algorithm that […] The post New Artificial Intelligence Algorithm Uses Routine Clinical Laboratory Tests to Identify Patients Likely Infected with COVID-19 first appeared on Dark Daily.
Source: Dark Daily - October 7, 2020 Category: Laboratory Medicine Authors: Jude Tags: International Laboratory News Laboratory Management and Operations Laboratory Operations Laboratory Pathology Laboratory Testing Management & Operations AACC AI American Association for Clinical Chemistry anatomic pathology artificial Source Type: news

Role of Artificial Intelligence in TeleStroke: An Overview
Teleneurology has provided access to neurological expertise and state-of-the-art stroke care where previously they have been inaccessible. The use of Artificial Intelligence with machine learning to assist telestroke care can be revolutionary. This includes more rapid and more reliable diagnosis through imaging analysis as well as prediction of hospital course and 3-month prognosis. Intelligent Electronic Medical Records can search free text and provide decision assistance by analyzing patient charts. Speech recognition has advanced enough to be reliable and highly convenient. Smart contextually aware communication and ale...
Source: Frontiers in Neurology - October 6, 2020 Category: Neurology Source Type: research

Artificial Intelligence, Real-World Automation and the Safety of Medicines
AbstractDespite huge technological advances in the capabilities to capture, store, link and analyse data electronically, there has been some but limited impact on routine pharmacovigilance. We discuss emerging research in the use of artificial intelligence, machine learning and automation across the pharmacovigilance lifecycle including pre-licensure. Reasons are provided on why adoption is challenging and we also provide a perspective on changes needed to accelerate adoption, and thereby improve patient safety. Last, we make clear that while technologies could be superimposed on existing pharmacovigilance processes for in...
Source: Drug Safety - October 6, 2020 Category: Drugs & Pharmacology Source Type: research

Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video.
CONCLUSION: An artificial intelligence applied to CAG videos could detect clinically meaningful coronary atherosclerotic stenosis diagnosed by expert cardiologists with modest predictive value. Further studies with improved AI at larger sample size is necessary. PMID: 33012741 [PubMed - as supplied by publisher]
Source: Journal of Atherosclerosis and Thrombosis - October 6, 2020 Category: Cardiology Tags: J Atheroscler Thromb Source Type: research

Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence.
In this study, we review the diagnosis of COVID-19 by using chest CT toward AI. We searched ArXiv, MedRxiv, and Google Scholar using the terms "deep learning", "neural networks", "COVID-19", and "chest CT". At the time of writing (August 24, 2020), there have been nearly 100 studies and 30 studies among them were selected for this review. We categorized the studies based on the classification tasks: COVID-19/normal, COVID-19/non-COVID-19, COVID-19/non-COVID-19 pneumonia, and severity. The sensitivity, specificity, precision, accuracy, area under the curve, and F1 score results were reported as high as 100%, 100%, 99.62, 99...
Source: Computational and Mathematical Methods in Medicine - October 6, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions
This article outlines considerations for the purchasing process beginning with performance evaluation. Practices should decide whether there is a need to independently verify performance or accept vendor-provided data. Successful implementations will consider who will receive AI results, how results will be presented, and the impact on efficiency. The article provides education on infrastructure considerations including the benefits and drawbacks of best-of-breed and platform approaches in addition to highly specialized server requirements like graphical processing unit availability.
Source: Journal of the American College of Radiology : JACR - October 5, 2020 Category: Radiology Authors: Ross W. Filice, John Mongan, Marc D. Kohli Tags: Original Article Source Type: research

Machiavellian males with high emotional intelligence exhibit fewer depressive symptoms - Bianchi R, Patthey N, Mirkovic D, Lemaitre B, Schlegel K.
In this study, we examined the possible moderating role of ability emotional intelligence (a-EI) on the Machiavellianism-depression relationship. a-EI was approache...
Source: SafetyLit - October 5, 2020 Category: International Medicine & Public Health Tags: Suicide and Self-Harm Source Type: news

Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey.
Conclusion: This study concluded that dental specialists were well aware of the concept of AI, that AI programs could be used as an adjunctive tool by dentists to increasing their diagnostic precision when interpreting radiographs, and that AI has a promising role in radiological diagnosis. PMID: 33005576 [PubMed]
Source: Imaging Science in Dentistry - October 4, 2020 Category: Dentistry Tags: Imaging Sci Dent Source Type: research

Emotional intelligence mediates the association between middle temporal gyrus gray matter volume and social anxiety in late adolescence
AbstractAs a common mental health problem, social anxiety refers to the fear and avoidance of interacting in social or performance situations, which plays a crucial role in many health and social problems. Although a growing body of studies has explored the neuroanatomical alterations related to social anxiety in clinical patients, far fewer have examined the association between social anxiety and brain morphology in the general population, which may help us understand the neural underpinnings of social anxiety more comprehensively. Here, utilizing a voxel-based morphometry approach via structural magnetic resonance imagin...
Source: European Child and Adolescent Psychiatry - October 3, 2020 Category: Psychiatry Source Type: research

Editorial: Artificial intelligence and simulation in urology
No abstract available
Source: Current Opinion in Urology - October 3, 2020 Category: Urology & Nephrology Tags: ARTIFICIAL INTELLIGENCE AND SIMULATION IN UROLOGY: Edited by Domenico Veneziano and Quoc-Dien Trinh Source Type: research

Applications of neural networks in urology: a systematic review
Purpose of review Over the last decade, major advancements in artificial intelligence technology have emerged and revolutionized the extent to which physicians are able to personalize treatment modalities and care for their patients. Artificial intelligence technology aimed at mimicking/simulating human mental processes, such as deep learning artificial neural networks (ANNs), are composed of a collection of individual units known as ‘artificial neurons’. These ‘neurons’, when arranged and interconnected in complex architectural layers, are capable of analyzing the most complex patterns. The aim of this systemati...
Source: Current Opinion in Urology - October 3, 2020 Category: Urology & Nephrology Tags: ARTIFICIAL INTELLIGENCE AND SIMULATION IN UROLOGY: Edited by Domenico Veneziano and Quoc-Dien Trinh Source Type: research

VR and machine learning: novel pathways in surgical hands-on training
This article reviews advances in the use of machine learning and artificial intelligence applied to virtual reality based surgical training over the last 5 years. Recent findings Eight articles have been published which met the inclusion criteria. This included six articles about the use of machine learning and artificial intelligence for assessment purposes and two articles about the possibility of teaching applications, including one review and one original research article. All the research articles pointed out the importance of machine learning and artificial intelligence for the stratification of trainees, based on...
Source: Current Opinion in Urology - October 3, 2020 Category: Urology & Nephrology Tags: ARTIFICIAL INTELLIGENCE AND SIMULATION IN UROLOGY: Edited by Domenico Veneziano and Quoc-Dien Trinh Source Type: research

Pathomics in urology
Purpose of review Pathomics, the fusion of digitalized pathology and artificial intelligence, is currently changing the landscape of medical pathology and biologic disease classification. In this review, we give an overview of Pathomics and summarize its most relevant applications in urology. Recent findings There is a steady rise in the number of studies employing Pathomics, and especially deep learning, in urology. In prostate cancer, several algorithms have been developed for the automatic differentiation between benign and malignant lesions and to differentiate Gleason scores. Furthermore, several applications hav...
Source: Current Opinion in Urology - October 3, 2020 Category: Urology & Nephrology Tags: ARTIFICIAL INTELLIGENCE AND SIMULATION IN UROLOGY: Edited by Domenico Veneziano and Quoc-Dien Trinh Source Type: research

New artificial intelligence models show potential for predicting outcomes
(American College of Surgeons) New applications of artificial intelligence (AI) in health care settings have shown early success in improving survival and outcomes in traffic accident victims transported by ambulance and in predicting survival after liver transplantation.
Source: EurekAlert! - Medicine and Health - October 3, 2020 Category: International Medicine & Public Health Source Type: news

Academic Adjustment, Emotional Intelligence, and Fear of Missing Out among Undergraduate Students: A Descriptive Correlational Study.
Conclusions: Further researches and strategies should be developed to help students control the technology they use so they can be utilized effectively for the right purposes. PMID: 32995048 [PubMed]
Source: Oman Medical Journal - October 2, 2020 Category: Middle East Health Tags: Oman Med J Source Type: research

Artificial intelligence interventions focused on opioid use disorders: A review of the gray literature.
CONCLUSION: This is the first gray literature synthesis to characterize the current 'landscape' of OUD-specific AI interventions. Future research should continue to assess the usability, utility, acceptability and efficacy of these interventions, in addition to the overall legal, ethical, and social implications of OUD-specific AI interventions. PMID: 33006905 [PubMed - as supplied by publisher]
Source: The American Journal of Drug and Alcohol Abuse - October 1, 2020 Category: Addiction Authors: Beaulieu T, Knight R, Nolan S, Quick O, Ti L Tags: Am J Drug Alcohol Abuse Source Type: research

Artificial Intelligence in Cardiac CT: Automated Calcium Scoring and Plaque Analysis
AbstractPurpose of ReviewTo review the current applications of artificial intelligence (AI) for coronary artery calcium scoring (CACS) and plaque analysis with their achievements and potential clinical impacts.Recent FindingsRecent advances of AI-based technologies especially deep learning (DL) approaches in medical imaging have achieved substantial progress in automated detection and characterization of coronary atherosclerotic plaques, providing promising results for AI application in diagnosis and management of coronary artery disease.SummaryTo date, many studies investigated the potential role of DL in CACS and showed ...
Source: Current Cardiovascular Imaging Reports - October 1, 2020 Category: Radiology Source Type: research

Big data, machine learning, and artificial intelligence: a field guide for neurosurgeons.
Abstract Big data has transformed into a trend phrase in healthcare and neurosurgery, becoming a pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a direct consequence of the drastic boom in information technology as well as the growing number of internet-connected devices called the Internet of Things in healthcare. Compared with business, marketing, and other sectors, healthcare applications are lagging due to a lack of technical knowledge among healthcare workers, technological limitations in acquiring and analyzing the data, and improper governance of healthcare big dat...
Source: Journal of Neurosurgery - October 1, 2020 Category: Neurosurgery Authors: Raju B, Jumah F, Ashraf O, Narayan V, Gupta G, Sun H, Hilden P, Nanda A Tags: J Neurosurg Source Type: research

Artificial intelligence in cardiothoracic surgery.
Authors: Dias RD, Shah JA, Zenati MA Abstract The tremendous and rapid technological advances that humans have achieved in the last decade have definitely impacted how surgical tasks are performed in the operating room (OR). As a high-tech work environment, the contemporary OR has incorporated novel computational systems into the clinical workflow, aiming to optimize processes and support the surgical team. Artificial intelligence (AI) is increasingly important for surgical decision making to help address diverse sources of information, such as patient risk factors, anatomy, disease natural history, patient values ...
Source: Minerva Cardioangiologica - October 1, 2020 Category: Cardiology Tags: Minerva Cardioangiol Source Type: research

Resident Leadership in the Era of COVID-19: Harnessing Emotional Intelligence
The COVID-19 pandemic is a public health emergency that demands leadership throughout the health care system. Leadership is the ability to guide a team or organization toward a stated goal or objective. In addition to hospital-wide leadership, there is need for leadership at the level of medical teams. Resident leadership is essential to ensure team function and patient care, yet residents are often overlooked as valuable leaders. This Perspective argues that residents can demonstrate leadership during a public health crisis by creating a culture of emotional intelligence in their medical teams. Emotional intelligence has ...
Source: Academic Medicine - October 1, 2020 Category: Universities & Medical Training Tags: Perspectives Source Type: research

Artificial Intelligence in Healthcare.
Authors: Ognjanovic I Abstract Modern technology development created significant innovations in delivery of healthcare. Artificial intelligence as "a branch of computer science dealing with the simulation of intelligent behaviour in computers" when applied in health care resulted in intelligent support to decision-making, optimised business processes, increased quality, monitoring and delivering of personalised treatment plans and many other applications. Even though the benefits are clear and numerous, there are still open issues in creating automation of healthcare processes, ensuring data protection and integrit...
Source: Studies in Health Technology and Informatics - October 1, 2020 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research

Artificial Intelligence Predicts Atrial Fibrillation Development from the 12-lead Electrocardiogram in Heart Failure with Preserved Ejection Fraction
An artificial intelligence (AI) algorithm that utilizes data contained within a single 12-lead ECG during normal sinus rhythm has recently shown to identify patients with occult AF. Patients with HFpEF frequently display AF in association with left atrial (LA) dysfunction.
Source: Journal of Cardiac Failure - September 30, 2020 Category: Cardiology Authors: Frederik Hendrik Verbrugge, Yogesh N.V. Reddy, Zachi I. Attia, Paul A. Friedman, Peter A. Noseworthy, Francisco Lopez-Jimenez, Suraj Kapa, Barry A. Borlaug Tags: 208 Source Type: research

Relationship Between Emotional Intelligence and Occupational Stress Levels Among Certified Registered Nurse Anesthetists.
Abstract Certified Registered Nurse Anesthetists (CRNAs) are exposed to multiple job-related stressors and therefore experience high levels of occupational stress and job burnout. In healthcare systems, job burnout from occupational stress may lead to poor patient care and safety outcomes. Prior research findings suggest nurses who reported higher levels of emotional intelligence (EI) had significantly lower work-related stress and less job burnout than nurses who reported lower levels of EI. To date, the relationship between EI and occupational stress among CRNAs has not been studied. The purpose of this study wa...
Source: AANA Journal - September 30, 2020 Category: Anesthesiology Authors: Bittinger AC, Dunn K, Hranchook A, Codier E Tags: AANA J Source Type: research

Using Artificial Intelligence to Identify Surgical Anatomy, Safe Zones of DISSection, and Dangerous Zones of DISSection during Laparoscopic Cholecystectomy
Most bile duct injury during laparoscopic cholecystectomy (LC) occur due to errors in visual perception and judgment leading to misinterpretation of anatomy. The purpose of this study was to develop and evaluate the performance of an artificial intelligence (AI) model that can identify anatomical landmarks and safe and dangerous zones of dISSection during LC.
Source: Journal of the American College of Surgeons - September 30, 2020 Category: Surgery Authors: Maria Altieri, Daniel Hashimoto, Angela Mar ía Rivera, Babak Namazi, Adnan Alseidi, Allan Okrainec, Ganesh Sankaranarayanan, L. Michael Brunt, Amin Madani Tags: General Surgery Source Type: research

Training with Pooled Annotations from Multiple Surgeons Has No Effect on a Deep Learning Artificial Intelligence Model's Performance
Artificial intelligence (AI) has revolutionized image analysis. AI models learn from two inputs: data (videos/images) and accurate annotations (labels). Annotations require knowledgeable annotators (surgeons) and are time intensive, which has led to a paucity of annotated surgical videos. One solution includes pooling annotations from multiple annotators. Surgeons may vary in their annotations, which could train an inaccurate AI model. We studied model performance when trained with surgical videos annotated by one surgeon compared to training with videos annotated by multiple surgeons.
Source: Journal of the American College of Surgeons - September 30, 2020 Category: Surgery Authors: Thomas M. Ward, Daniel Hashimoto, Yutong Ban, Elan R. Witkowski, Keith D. Lillemoe, Guy Rosman, Ozanan R. Meireles Tags: Surgical Education Source Type: research

Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19
Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical imaging and electronic health records. Such massive growth has sparked the development of an increasing number of AI-based applications that can be deployed in clinical practice. Pulmonary specialists who are familiar with the principles of AI and its applications will be empowered and prepared to seize future practice and research opportunities. The goal of this review is to prov...
Source: European Respiratory Review - September 30, 2020 Category: Respiratory Medicine Authors: Khemasuwan, D., Sorensen, J. S., Colt, H. G. Tags: Lung biology and experimental studies, Respiratory infections and tuberculosis Reviews Source Type: research

Article Alert: Sharing The relationship between intelligence and creativity: New support for the threshold hypothesis by means of empirical breakpoint detection via BrowZine
The relationship between intelligence and creativity: New support for the threshold hypothesis by means of empirical breakpoint detection Jauk, Emanuel; Benedek, Mathias; Dunst, Beate; Neubauer, Aljoscha C. Intelligence, Vol. 41 Issue 4 – 2013: 212 - 221 10.1016/j.intell.2013.03.003 http://linkinghub.elsevier.com/retrieve/pii/S016028961300024X
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - April 27, 2013 Category: Neurologists Source Type: blogs

Article: Ungifted: Intelligence Redefined Hardcover
Ungifted: Intelligence Redefined [Hardcover]http://www.amazon.com/Ungifted-Intelligence-Scott-Barry-Kaufman/dp/0465025544Sent via Flipboard
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - April 23, 2013 Category: Neurologists Source Type: blogs

Journal Alert - INTELLIGENCE
This article presents three studies, two of them longitudinal, which > investigated the relations between age, processing speed, working memory > (WM), and fluid intelligence (g(f)) from 4 to 16 years of age. > Structural equation modeling showed that speed was a powerful covariate > of age (similar to-.6 to -.7) from 4 to 13 years, declining thereafter > (to similar to-.2). WM was stably related to speed through the whole > age-span studied (similar to-.4 to -.5). A large part (59%) of > age-related changes in gf (83%) from 4 to 7 years and a lower but > significant part later on, especially in ado...
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - April 18, 2013 Category: Neurologists Source Type: blogs

Mating Intelligence Unleashed Is Now Unleashed
Do mating and intelligence have anything to do with one another? In Mating Intelligence Unleashed (co-authored with Scott Barry Kaufman), we answer this question with an emphatic YES. This post will tell you why!read more
Source: Psychology Today Sex Center - February 25, 2013 Category: Sexual Medicine Authors: Glenn Geher, Ph.D. Tags: Evolutionary Psychology Intelligence Relationships Sex barry kaufman blood and sweat cognitive psychology cutting edge dating love developmental psychology geoffrey miller helen fisher human psychology intelligence scale motive Source Type: news

Research Byte: Need for cognition is related to higher general intelligence, fluid intelligence, and crystallized i
Title: Need for cognition is related to higher general intelligence, fluid intelligence, and crystallized intelligence, but not working memory Author(s): Hill, Benjamin D.; Foster, Joshua D.; Elliott, Emily M.; et al. Source: JOURNAL OF RESEARCH IN PERSONALITY, 47 (1): 22-25 FEB 2013 IDS#: 081MS. ISSN: 0092-6566
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - February 23, 2013 Category: Neurologists Source Type: blogs

The Journal of Intelligence is born
Andrew Conway (@AndrewRAConway)2/14/13 9:41 AMThe Journal of Intelligence is born...mdpi.com/2079-3200/1/1/1
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - February 14, 2013 Category: Neurologists Source Type: blogs

Artificial intelligence in medicine AIME 2011
The program for the Thirteenth European Conference on Artificial Intelligence in MedicinE (AIME 2011), was prepared by the Program Committee Chair Mor Peleg (University of Haifa, Haifa, Israel), the Local Chair Nada Lavrač (Jožef Stefan Institute, Ljubljana, Slovenia), and the AIME Chairman of the Board Carlo Combi (University of Verona, Verona, Italy). The conference was held in Bled, Slovenia on July 2nd–6th, 2011. The conference included several specialized workshops and tutorial and was considered quite successful by most participants. Continuing a tradition started at AIME 2005, a doctoral consortium was held and ...
Source: Artificial Intelligence in Medicine - February 11, 2013 Category: Bioinformatics Authors: Mor Peleg, Carlo Combi Tags: Guest Editorial Source Type: research

Three Easy Ways to Raise Your Child's Emotional Intelligence
Use these three strategies to raise your child's emotional intelligence.read more
Source: Psychology Today Parenting Center - February 9, 2013 Category: Psychiatry & Psychology Authors: Jeffrey Bernstein, Ph.D. Tags: Parenting anger balanced outlook child depression children concept of emotional intelligence conflict resolution coping skills Daniel Goleman defiant child defiant children determinants emotional immaturity emotional maturity i Source Type: news

Research Bytes: A computational model for solving problems from the Raven's Progressive Matrices intelligence test u
Title: A computational model for solving problems from the Raven's Progressive Matrices intelligence test using iconic visual representations Author(s): Kunda, Maithilee; McGreggor, Keith; Goel, Ashok K. Source: COGNITIVE SYSTEMS RESEARCH, 22-23 (): 47-66 JUN 2013 IDS#: 072RV. ISSN: 1389-0417
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - February 7, 2013 Category: Neurologists Source Type: blogs

Childhood intelligence is heritable, highly polygenic and associated with FNBP1L
ald, P Scheet, X Xiao, J J Hudziak, E J C de Geus, V W V Jaddoe, J M Starr, F C Verhulst, C Pennell, H Tiemeier, W G Iacono, L J Palmer, G W Montgomery, N G Martin, D I Boomsma, D Posthuma, M McGue, M J Wright, G Davey Smith, I J Deary, R Plomin & P M Visscher
Source: Molecular Psychiatry - January 29, 2013 Category: Psychiatry Authors: B BenyaminBSt PourcainO S DavisG DaviesN K HansellM-JA BrionR M KirkpatrickR A M CentsS FranićM B MillerC M A HaworthE MeaburnT S PriceD M EvansN TimpsonJ KempS RingW McArdleS E MedlandJ YangS E HarrisD C LiewaldP ScheetX XiaoJ J HudziakE J C de GeusV W Tags: intelligence IQ cognitive association FNBP1L polygenic Source Type: research

DNA evidence for strong genetic stability and increasing heritability of intelligence from age 7 to 12
& R Plomin
Source: Molecular Psychiatry - January 29, 2013 Category: Psychiatry Authors: M TrzaskowskiJ YangP M VisscherR Plomin Tags: cognitive development Genome-wide complex trait analysis (GCTA) intelligence twins Source Type: research

Research Byte: How you think about your intelligence determines how you feel in school: The role of theories of int
Title: How you think about your intelligence determines how you feel in school: The role of theories of intelligence on academic emotions Author(s): King, Ronnel B.; McInerney, Dennis M.; Watkins, David A. Source: LEARNING AND INDIVIDUAL DIFFERENCES, 22 (6): 814-819 DEC 2012 IDS#: 059DF. ISSN: 1041-6080
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - January 23, 2013 Category: Neurologists Source Type: blogs

Research Byte: Beyond Intelligence Testing Remembering Alfred Binet After a Century
Title: Beyond Intelligence Testing Remembering Alfred Binet After a Century Author(s): Nicolas, Serge; Levine, Zachary Source: EUROPEAN PSYCHOLOGIST, 17 (4): 320-325 2012 IDS#: 057XO. ISSN: 1016-9040
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - January 21, 2013 Category: Neurologists Source Type: blogs

Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach
Conclusion: Given careful design and problem formulation, an AI simulation framework can approximate optimal decisions even in complex and uncertain environments. Future work is described that outlines potential lines of research and integration of machine learning algorithms for personalized medicine.
Source: Artificial Intelligence in Medicine - January 1, 2013 Category: Bioinformatics Authors: Casey C. Bennett, Kris Hauser Tags: Research Articles Source Type: research

HIMSS Virtual Briefing - Clinical & Business Intelligence
Clinical business intelligence refers to the technologies, applications, and practices that enable the collection, integration, analysis, and presentation of clinical data and information, real-time, for the purpose of better clinical decision making.  And with the development of new reimbursement models; the emphasis on clinical quality measurement, documentation, analysis and reporting; and in order to deliver better, quality care at reduced costs, healthcare organizations must proactively derive value from data in order to be successful.   read more
Source: Healthcare IT News Events - December 17, 2012 Category: Information Technology Authors: dkimball Tags: business intelligence Source Type: events

Philosophy will be the key that unlocks artificial intelligence | David Deutsch
AI is achievable, but it will take more than computer science and neuroscience to develop machines that think like peopleTo state that the human brain has capabilities that are, in some respects, far superior to those of all other known objects in the cosmos would be uncontroversial. The brain is the only kind of object capable of understanding that the cosmos is even there, or why there are infinitely many prime numbers, or that apples fall because of the curvature of space-time, or that obeying its own inborn instincts can be morally wrong, or that it itself exists. Nor are its unique abilities confined to such cerebral ...
Source: Guardian Unlimited Science - October 3, 2012 Category: Science Authors: David Deutsch Tags: Neuroscience Artificial intelligence (AI) Technology Philosophy Computing Source Type: news