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Neural Oscillatory Dynamics Serving Abstract Reasoning Reveal Robust Sex Differences in Typically-Developing Children and Adolescents
Publication date: Available online 19 February 2020Source: Developmental Cognitive NeuroscienceAuthor(s): Brittany K. Taylor, Christine M. Embury, Elizabeth Heinrichs-Graham, Michaela R. Frenzel, Jacob A. Eastman, Alex I. Wiesman, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. WilsonAbstractFluid intelligence, the ability to problem-solve in novel situations, is linked to higher-order cognitive abilities, and to academic achievement in youth. Previous research has demonstrated that fluid intelligence and the underlying neural circuitry continues to develop throughout adolescence. Neuroimaging studies have predom...
Source: Developmental Cognitive Neuroscience - February 19, 2020 Category: Neuroscience Source Type: research

A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease
Publication date: Available online 19 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Benjamin Lobo, Emaad Abdel-Rahman, Donald Brown, Lori Dunn, Brendan BowmanAbstractThe most severe form of kidney disease, End-Stage Renal Disease (ESRD) is treated with various forms of dialysis – artificial blood cleansing. Dialysis patients suffer many health burdens including high mortality and hospitalization rates, and symptomatic anemia: a low red blood cell count as indicated by a low hemoglobin (Hgb) level. ESRD-induced anemia is treated, with variable patient response, by erythropoiesis stimulating agents (ES...
Source: Artificial Intelligence in Medicine - February 19, 2020 Category: Bioinformatics Source Type: research

Early detection of sepsis utilizing deep learning on electronic health record event sequences
Conclusion: We present a deep learning system for early detection of sepsis that can learn characteristics of the key factors and interactions from the raw event sequence data itself, without relying on a labor-intensive feature extraction work. Our system outperforms baseline models, such as gradient boosting, which rely on specific data elements and therefore suffer from many missing values in our dataset.
Source: Artificial Intelligence in Medicine - February 19, 2020 Category: Bioinformatics Source Type: research

Feature Selection based Multivariate Time Series Forecasting: An Application to Antibiotic Resistance Outbreaks Prediction
Publication date: Available online 19 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Fernando Jiménez, José Palma, Gracia Sánchez, David Marín, Francisco Palacios, M.D, Lucía López, M.DAbstractAntimicrobial resistance has become one of the most important health problems and global action plans have been proposed globally. Prevention plays a key role in these actions plan and, in this context, we propose the use of Artificial Intelligence, specifically Time Series Forecasting techniques, for predicting future outbreaks of Methicilin-resistant Staphylococcus aereus (MRSA). Infection incidence foreca...
Source: Artificial Intelligence in Medicine - February 19, 2020 Category: Bioinformatics Source Type: research

AI in radiology? Patients are cautiously optimistic
Patients are optimistic about the use of artificial intelligence (AI) in radiology,...Read more on AuntMinnie.comRelated Reading: AI improves reader performance for ABUS studies AI predicts progression of osteoarthritis on x-rays AI boosts radiologists' mammography performance 14 ways AI can improve the business of radiology
Source: AuntMinnie.com Headlines - February 19, 2020 Category: Radiology Source Type: news

Exploring Beyond the Cage
I just read an interesting BBC article about why there are significantly more vegan women than men, which is mostly summarized by this statement at the top: When women hold two incompatible beliefs, they’re more likely to change their behaviour to reconcile them. Men, by comparison, tend to dig themselves in. The article cites a variety of studies that delve into gender differences and how these connect with dietary decisions. Reading it had an odd effect on me, making my vegan side feel good and my male side feel primitive and stupid. While I do consider myself an ethical vegan today, this article reminded me t...
Source: Steve Pavlina's Personal Development Blog - February 19, 2020 Category: Psychiatry & Psychology Authors: Steve Pavlina Tags: Health Lifestyle Values Source Type: blogs

RapidAI debuts technology partner program, API
Artificial intelligence (AI) software developer RapidAI has launched its Rapid...Read more on AuntMinnie.com
Source: AuntMinnie.com Headlines - February 19, 2020 Category: Radiology Source Type: news

Latent Risk Intrahepatic Cholangiocarcinoma Susceptible to Adjuvant Treatment After Resection: A Clinical Deep Learning Approach
Conclusions: The AI framework seems promising in the prognostic estimation and stratification of susceptible individuals for adjuvant treatment in patients with ICC after resection. Future prospective validations are needed for the framework to be applied in clinical practice.
Source: Frontiers in Oncology - February 19, 2020 Category: Cancer & Oncology Source Type: research

Risk factors for obsessive –compulsive symptoms. Follow-up of a community-based youth cohort
AbstractEnvironmental factors are at least as important as genetic factors for the development of obsessive –compulsive symptoms (OCS), but the identification of such factors remain a research priority. Our study aimed to investigate the association between a broad scope of potential risk factors and OCS in a large community cohort of children and adolescents. We evaluated 1877 participants and their ca regivers at baseline and after 3 years to assess various demographic, prenatal, perinatal, childhood adversity, and psychopathological factors. Mean age at baseline was 10.2 years (SD 1.9) and mean age at follow-up was ...
Source: European Child and Adolescent Psychiatry - February 19, 2020 Category: Psychiatry Source Type: research

President ' s Budget Cuts Science
The White House released the President’s Budget Request for fiscal year (FY) 2021 on February 10, 2020. The budget proposes large cuts for science for the fourth consecutive year. The $4.8 trillion budget framework calls for cuts to most federal agencies, including the National Science Foundation (NSF), the National Institutes of Health (NIH), the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), and the Environmental Protection Agency (EPA). The proposal would provide $1.3 trillion for discretionary programs, including $590 billion for non-defense spending - the source for m...
Source: Public Policy Reports - February 18, 2020 Category: Biology Authors: AIBS Source Type: news

President Proposes Cuts at NSF
The President has proposed a 6.5 percent cut to the National Science Foundation (NSF) in fiscal year (FY) 2021. The science agency is slated to receive $7.7 billion, which is $537 million below the FY 2020 level enacted by Congress. According to the budget proposal, NSF will continue to invest in its Big Ideas and Convergence Accelerator, providing support for “bold inquiries into the frontiers of science and engineering” in order “to break down the silos of conventional scientific research funded by NSF to embrace the cross-disciplinary and dynamic nature of the science of the future.” Among th...
Source: Public Policy Reports - February 18, 2020 Category: Biology Authors: AIBS Source Type: news

NIH Slated for 7 percent Budget Cut
The President has proposed a $38.7 billion budget for the National Institutes of Health in fiscal year (FY) 2021. This translates to a $3 billion or 7 percent cut in the agency’s funding compared to FY 2020. The NIH budget request includes a $50 million initiative to use artificial intelligence (AI) to develop a better understanding of the causes of chronic diseases and to identify early treatments. This plan is in line with the Administration’s “Industries of the Future” effort, which supports using and developing AI across sectors. The budget would provide $50 million for the Childhood Cancer ...
Source: Public Policy Reports - February 18, 2020 Category: Biology Authors: AIBS Source Type: news

DOE Science Budget to Shrink by 17 percent
The U.S. Department of Energy (DOE) would receive $35.4 billion in FY 2021, an 8.1 percent decrease from the FY 2020 enacted level of $38.5 billion. Within this request, $5.8 billion (-17 percent) would be directed toward the Office of Science. The Office of Science supports both scientific research and design, development, construction, and operation of scientific user facilities. Approximately 23,000 researchers located at over 300 institutions and the 17 DOE national laboratories are supported by grants from the Office of Science. The budget for the Office of Science includes $475 million for exascale computing, $237 m...
Source: Public Policy Reports - February 18, 2020 Category: Biology Authors: AIBS Source Type: news

AI Finds Connection Between Disease and Genes
Researchers from Linköping University are behind a new study that has used artificial intelligence to investigate whether it is possible to discover biological networks using deep learning, in which entities known as "artificial neural networks" are trained by experimental data. Since artificial neural networks are excellent at learning how to find patterns in enormous amounts of complex data, they are used in applications such as image recognition. However, this machine learning method has until now seldom been used in biological research. "We have for the first time used deep learning to find disease-related...
Source: MDDI - February 18, 2020 Category: Medical Devices Authors: MDDI Staff Tags: Digital Health Source Type: news

Study finds empathy can be detected in people whose brains are at rest
UCLA researchers have found that it is possible to assess a person ’s ability to feel empathy by studying their brain activity while they are resting rather than while they are engaged in specific tasks.  Traditionally, empathy is assessed through the use of questionnaires and psychological assessments. The findings of this study offer an alternative to people who may have difficulty filling out questionnaires, such as people with severe mental illness or autism, said senior author Dr. Marco Iacoboni, professor of psychiatry and biobehavioral sciences at the David Geffen School of Medicine at UCLA.“Assessing empathy i...
Source: UCLA Newsroom: Health Sciences - February 18, 2020 Category: Universities & Medical Training Source Type: news

Facebook bans deepfakes
Publication date: February 2020Source: Biometric Technology Today, Volume 2020, Issue 2Author(s): Facebook has banned ‘deepfake’ videos, to counter the spread of these misleading images created by artificial intelligence and deep-learning technology.
Source: Biometric Technology Today - February 18, 2020 Category: Information Technology Source Type: research

Radiomics-based Artificial Intelligence System to Predict Neoadjuvant Treatment Response in Rectal Cancer
Condition:   Rectal Cancer Intervention:   Sponsors:   Sixth Affiliated Hospital, Sun Yat-sen University;   The Third Affiliated Hospital of Kunming Medical College.;   Sir Run Run Shaw Hospital Recruiting
Source: ClinicalTrials.gov - February 18, 2020 Category: Research Source Type: clinical trials

RadioPathomics Artificial Intelligence Model to Predict Tumor Regression Grading in Locally Advanced Rectal Cancer
Condition:   Rectal Cancer Intervention:   Sponsors:   Sixth Affiliated Hospital, Sun Yat-sen University;   The Third Affiliated Hospital of Kunming Medical College.;   Sir Run Run Shaw Hospital Recruiting
Source: ClinicalTrials.gov - February 18, 2020 Category: Research Source Type: clinical trials

Radiomics-based Artificial Intelligence System to Predict Neoadjuvant Treatment Response in Rectal Cancer
Condition:   Rectal Cancer Intervention:   Sponsors:   Sixth Affiliated Hospital, Sun Yat-sen University;   The Third Affiliated Hospital of Kunming Medical College.;   Sir Run Run Shaw Hospital Recruiting
Source: ClinicalTrials.gov - February 18, 2020 Category: Research Source Type: clinical trials

RadioPathomics Artificial Intelligence Model to Predict Tumor Regression Grading in Locally Advanced Rectal Cancer
Condition:   Rectal Cancer Intervention:   Sponsors:   Sixth Affiliated Hospital, Sun Yat-sen University;   The Third Affiliated Hospital of Kunming Medical College.;   Sir Run Run Shaw Hospital Recruiting
Source: ClinicalTrials.gov - February 18, 2020 Category: Research Source Type: clinical trials

A Fascinating Sign Of High IQ
This test can quickly identify someone with higher IQ. → Support PsyBlog for just $5 per month. Enables access to articles marked (M) and removes ads. → Explore PsyBlog's ebooks, all written by Dr Jeremy Dean: Accept Yourself: How to feel a profound sense of warmth and self-compassion The Anxiety Plan: 42 Strategies For Worry, Phobias, OCD and Panic Spark: 17 Steps That Will Boost Your Motivation For Anything Activate: How To Find Joy Again By Changing What You Do
Source: PsyBlog | Psychology Blog - February 18, 2020 Category: Psychiatry & Psychology Authors: Jeremy Dean Tags: Intelligence Source Type: blogs

Innovative Data Science Methods in Biomedical Research (Day 2)
The objectives of the workshop are to assess recent developments in statistical ML/AI methods and to identify major challenges and issues of ML/AI in biomedical research. The topics of sessions will cover decision trees, random forest, regularized regression models/AI, targeted learning, and neural networks, and show use cases for healthcare device and image. The data domain areas will include medical imaging, epidemiological cohorts, genetics, etc. The workshop will be an excellent learning opportunity for NIH investigators and program staff to enhance their knowledge of ML/AI and their application in biomedical research....
Source: Videocast - All Events - February 18, 2020 Category: General Medicine Tags: Upcoming Events Source Type: video

Innovative Data Science Methods in Biomedical Research (Day 1)
The objectives of the workshop are to assess recent developments in statistical ML/AI methods and to identify major challenges and issues of ML/AI in biomedical research. The topics of sessions will cover decision trees, random forest, regularized regression models/AI, targeted learning, and neural networks, and show use cases for healthcare device and image. The data domain areas will include medical imaging, epidemiological cohorts, genetics, etc. The workshop will be an excellent learning opportunity for NIH investigators and program staff to enhance their knowledge of ML/AI and their application in biomedical research....
Source: Videocast - All Events - February 18, 2020 Category: General Medicine Tags: Upcoming Events Source Type: video

Greater Height Correlates with a Lesser Risk of Dementia
In conclusion, taller body height at the entry to adulthood, supposed to be a marker of early-life environment, is associated with lower risk of dementia diagnosis later in life. The association persisted when adjusted for educational level and intelligence test scores in young adulthood, suggesting that height is not just acting as an indicator of cognitive reserve. Link: https://doi.org/10.7554/eLife.51168
Source: Fight Aging! - February 18, 2020 Category: Research Authors: Reason Tags: Daily News Source Type: blogs

What I Learnt About A.I. By Playing 1000 Hours Of Chess In A Year
If you’ve been following me on social media, you might have noticed some posts with the hashtag #TMFchessjourney. These document my ongoing mission to practice chess at a professional level, what I’ve learnt from it and how it helps me grow as a person. Recently, I’ve crossed the 1000 hour bar of chess time and it has been a truly humbling experience. From finally learning the art of patience to getting bested by pre-teens to inching closer to the language of A.I., I was in for quite the ride and this is merely the beginning! I’m thrilled to take you on this Chess Journey today,  so strap up! Why che...
Source: The Medical Futurist - February 18, 2020 Category: Information Technology Authors: Prans Tags: Artificial Intelligence AI chess Source Type: blogs

Improving Probability Judgment in Intelligence Analysis: From Structured Analysis to Statistical Aggregation
AbstractAs in other areas of expert judgment, intelligence analysis often requires judging the probability that hypotheses are true. Intelligence organizations promote the use of structured methods such as “Analysis of Competing Hypotheses” (ACH) to improve judgment accuracy and analytic rigor, but these methods have received little empirical testing. In this experiment, we pitted ACH against a factorized Bayes's theorem (FBT) method, and we examined the value of recalibration (coherentization) an d aggregation methods for improving the accuracy of probability judgment. Analytic techniques such as ACH and FBT were inef...
Source: Risk Analysis - February 18, 2020 Category: International Medicine & Public Health Authors: Christopher W. Karvetski, David R. Mandel, Daniel Irwin Tags: Original Research Article Source Type: research

Mayo researchers create, test AI to improve EKG testing for hypertrophic cardiomyopathy
(Mayo Clinic) An approach based on artificial intelligence (AI) may allow EKGs to be used to screen for hypertrophic cardiomyopathy in the future. With hypertrophic cardiomyopathy, the heart walls become thick and may interfere with the heart's ability to function properly. The disease also predisposes some patients to potentially fatal abnormal rhythms. Current EKG technology has limited diagnostic yield for this disease.
Source: EurekAlert! - Medicine and Health - February 18, 2020 Category: International Medicine & Public Health Source Type: news

Regenstrief website hosts online course on the future of AI in health care
(Regenstrief Institute) Artificial intelligence offers exciting opportunities to improve care, but there are many considerations as the field moves forward. Stakeholders can now take an online course on Regenstrief Institute's website that gives insight into the current and future state of AI as well as best practices for development, implementation and maintenance moving forward.
Source: EurekAlert! - Medicine and Health - February 18, 2020 Category: International Medicine & Public Health Source Type: news

Cortical high-frequency oscillation loops initiate spasm seizures
Some epileptic spasms are classified into focal-onset seizures. However, the cortical network underlying this kind of spasm seizure is not yet clear. Four patients with epileptic spasms who underwent intracranial electrode implantation and focal resection surgery were studied. All the patients had good outcomes, and three of them with intellectual disability showed improved intelligence after surgery. The power spectra characteristics of electrocorticography and the dynamic functional network changes of epileptic spasms were investigated. Electrocorticography power in the resected zone peaked 0.5 seconds before the clinica...
Source: NeuroReport - February 18, 2020 Category: Neurology Tags: Integrative Systems Source Type: research

Examining the Relationship between Emotional Intelligence, Leadership Attributes and Workplace Experience of Australian Chief Radiographers
This study aimed to investigate the relationship between EI scores and leadership attributes of Australian chief radiographers.
Source: Journal of Medical Imaging and Radiation Sciences - February 18, 2020 Category: Radiology Authors: Dania Abu Awwad, Sarah Jayne Lewis, Stuart Mackay, John Robinson Tags: Research Article Source Type: research

Violence exposure and young people ’s vulnerability, mental and physical health
ConclusionsExposure to violence in domestic and/or relationships is detrimental to children and young people ’s mental and physical health and vulnerability. Health risks and inequalities reported by CYP in this study provide compelling intelligence for renewed strategic policy-level consideration in the design and delivery of young peoples’ health services.
Source: International Journal of Public Health - February 18, 2020 Category: International Medicine & Public Health Source Type: research

Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy
Conclusions: The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.
Source: The Saudi Journal of Gastroenterology - February 18, 2020 Category: Gastroenterology Authors: Wen-Na Liu Yang-Yang Zhang Xu-Qiang Bian Li-Juan Wang Qiang Yang Xi-Dou Zhang Jin Huang Source Type: research

Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity
by Csaba Orban, Ru Kong, Jingwei Li, Michael W. L. Chee, B. T. Thomas Yeo The brain exhibits substantial diurnal variation in physiology and function, but neuroscience studies rarely report or consider the effects of time of day. Here, we examined variation in resting-state functional MRI (fMRI) in around 900 individuals scanned between 8 AM and 10 PM on two different d ays. Multiple studies across animals and humans have demonstrated that the brain’s global signal (GS) amplitude (henceforth referred to as “fluctuation”) increases with decreased arousal. Thus, in accord with known circadian variation in arousal, we ...
Source: PLoS Biology: Archived Table of Contents - February 18, 2020 Category: Biology Authors: Csaba Orban Source Type: research

Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network
by Andrei Zinovyev, Urszula Czerwinska, Laura Cantini, Emmanuel Barillot, Klaus M. Frahm, Dima L. Shepelyansky English Wikipedia, containing more than five millions articles, has approximately eleven thousands web pages devoted to proteins or genes most of which were generated by the Gene Wiki project. These pages contain information about interactions between proteins and their functional relationships. A t the same time, they are interconnected with other Wikipedia pages describing biological functions, diseases, drugs and other topics curated by independent, not coordinated collective efforts. Therefore, Wikipedia cont...
Source: PLoS Computational Biology - February 18, 2020 Category: Biology Authors: Andrei Zinovyev Source Type: research

Artificial intelligence aims to improve breast cancer diagnoses
A recent study found that false positive breast biopsies cost the healthcare system over $2 billion per year. According to the National Cancer Institute, mammograms miss about 20% of breast cancers while one in 10 women receive a false positive result. Jamie Yuccas spoke with researchers at Google and UCLA who have developed an artificial intelligence program to help better diagnose mammograms and biopsies. Dr. Susan Grossman joins "CBS This Morning" to explain the need for the new technology.
Source: Health News: CBSNews.com - February 17, 2020 Category: Consumer Health News Source Type: news

The FDA Needs to Set Standards for Using Artificial Intelligence in Drug Development
By CHARLES K. FISHER, PhD Artificial intelligence has become a crucial part of our technological infrastructure and the brain underlying many consumer devices. In less than a decade, machine learning algorithms based on deep neural networks evolved from recognizing cats in videos to enabling your smartphone to perform real-time translation between 27 different languages. This progress has sparked the use of AI in drug discovery and development. Artificial intelligence can improve efficiency and outcomes in drug development across therapeutic areas. For example, companies are developing AI tec...
Source: The Health Care Blog - February 17, 2020 Category: Consumer Health News Authors: Christina Liu Tags: Health Tech Health Technology AI Charles Fisher FDA Regulation Source Type: blogs

Alginate Fiber Toughened Gels Similar to Skin Intelligence as Ionic Sensors
In this study, gels showed complex intelligence similar to natural skin, and might find applications in artificial intelligence, human-mechanial interactions, and smart wearable devices.Graphical abstract
Source: Carbohydrate Polymers - February 17, 2020 Category: Biomedical Science Source Type: research

Randomized Clinical Trials of Artificial Intelligence
As patient data are increasingly captured digitally, the opportunities to deploy artificial intelligence (AI), especially machine learning, are increasing rapidly. Machine learning is automated learning by computers using tools such as artificial neural networks to search data iteratively for optimal solutions. Typical applications include searching for novel patterns (eg, latent cancer subtypes), making a diagnosis or outcome prediction (eg, diabetic retinopathy), and optimizing treatment decisions (eg, fluid and vasopressor titration for septic shock). Although many express excitement regarding the promise of AI, others ...
Source: JAMA - Journal of the American Medical Association - February 17, 2020 Category: General Medicine Source Type: research

Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations
AbstractArtificial intelligence (AI) has the potential to significantly disrupt the way radiology will be practiced in the near future, but several issues need to be resolved before AI can be widely implemented in daily practice. These include the role of the different stakeholders in the development of AI for imaging, the ethical development and use of AI in healthcare, the appropriate validation of each developed AI algorithm, the development of effective data sharing mechanisms, regulatory hurdles for the clearance of AI algorithms, and the development of AI educational resources for both practicing radiologists and rad...
Source: European Radiology - February 17, 2020 Category: Radiology Source Type: research

Opinion paper about digitisation, applications (Apps) and artifical intelligence in the health care sector.
PMID: 32065242 [PubMed - as supplied by publisher]
Source: Der Chirurg - February 17, 2020 Category: Surgery Authors: Bündnis Junge Ärzte, Fritz T Tags: Chirurg Source Type: research

Emotional intelligence and problem solving skills in individuals who attempted suicide
ConclusionIt was observed that these individuals experienced more difficulty in solving problems when compared to healthy individuals, however as their emotional intelligence levels increased, their problem-solving skills increased as well.
Source: Journal of Clinical Neuroscience - February 16, 2020 Category: Neuroscience Source Type: research

AI systems claiming to 'read' emotions pose discrimination risks
Expert says technology deployed is based on outdated science and therefore is unreliableArtificial Intelligence (AI) systems that companies claim can “read” facial expressions is based on outdated science and risks being unreliable and discriminatory, one of the world’s leading experts on the psychology of emotion has warned.Lisa Feldman Barrett, professor of psychology at Northeastern University, said that such technologies appear to disregard a growing body of evidence undermining the notion that the basic facial expressions are universal across cultures. As a result, such technologies – some of which are already...
Source: Guardian Unlimited Science - February 16, 2020 Category: Science Authors: Hannah Devlin Science correspondent Tags: Artificial intelligence (AI) Technology Consciousness Computing Science UK news Psychology Source Type: news

Neurocognitive Psychometrics of Intelligence: How Measurement Advancements Unveiled the Role of Mental Speed in Intelligence Differences - Anna-Lena Schubert, Gidon T. Frischkorn,
https://flip.it/6TxoL5******************************************Kevin S. McGrew, PhDEducational& School PsychologistDirectorInstitute for Applied Psychometrics (IAP)https://www.themindhub.com******************************************
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - February 15, 2020 Category: Neuroscience Source Type: blogs

How AI Can Predict Heart Attacks and Strokes
Artificial intelligence is making its way into health care, and one of its first stops is making sense of all of those scans that doctors order. Already, studies have shown that AI-based tools can, in some cases, pick out abnormal growths that could be cancerous tumors better than doctors can, mainly because digesting and synthesizing huge volumes of information is what AI does best. In a study published Feb. 14 in Circulation, researchers in the U.K. and the U.S. report that an AI program can reliably predict heart attacks and strokes. Kristopher Knott, a research fellow at the British Heart Foundation, and his team condu...
Source: TIME: Health - February 14, 2020 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized Artificial Intelligence Heart Disease Source Type: news

Cardiac MRI Plus Artificial Intelligence Improves Heart Attack, Stroke Prediction
Adding artificial intelligence to cardiac MRI instantaneously and accurately measures blood flow.
Source: Diagnostic Imaging - February 14, 2020 Category: Radiology Authors: Whitney J. Palmer Tags: Cardiac Imaging Source Type: news

The neural code of intelligence: From correlation to causation - ScienceDirect
https://www.sciencedirect.com/science/article/abs/pii/S1571064519301563?via%3Dihub******************************************Kevin S. McGrew, PhDEducational& School PsychologistDirectorInstitute for Applied Psychometrics (IAP)https://www.themindhub.com******************************************
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - February 14, 2020 Category: Neuroscience Source Type: blogs

Artificial intelligence in vascular surgery and vascular medicine.
Abstract New digital technologies will also gain in importance in vascular surgery. There is a wide field of potential applications. Simulation-based training of endovascular procedures can lead to improvement in procedure-specific parameters and reduce fluoroscopy and procedural times. The use of intraoperative image-guided navigation and robotics also enables a reduction of the radiation dose. Artificial intelligence can be used for risk stratification and individualization of treatment approaches. Health apps can be used to improve the follow-up care of patients. PMID: 32060576 [PubMed - as supplied by publisher]
Source: Der Chirurg - February 14, 2020 Category: Surgery Authors: Wolk S, Kleemann M, Reeps C Tags: Chirurg Source Type: research

Patient Perspectives and Priorities Regarding Artificial Intelligence in Radiology: Opportunities for Patient-Centered Radiology
There is tremendous interest in the radiology community to apply artificial intelligence (AI) to improve radiology workflow and improve patient care [1].  The potential for AI in radiology is broad, ranging from patient scheduling, image acquisition and processing, triage of examinations for interpretation, lesion detection, lesion characterization, and automated reporting [2].
Source: Journal of the American College of Radiology : JACR - February 14, 2020 Category: Radiology Authors: Scott J. Adams, Rachel Tang, Paul Babyn Tags: Case studies in clinical practice management Source Type: research

Noninterpretive Uses of Artificial Intelligence in Radiology
Publication date: Available online 12 February 2020Source: Academic RadiologyAuthor(s): Michael L. Richardson, Elisabeth R. Garwood, Yueh Lee, Matthew D. Li, Hao S. Lo, Arun Nagaraju, Xuan V. Nguyen, Linda Probyn, Prabhakar Rajiah, Jessica Sin, Ashish P. Wasnik, Kali XuWe deem a computer to exhibit artificial intelligence (AI) when it performs a task that would normally require intelligent action by a human. Much of the recent excitement about AI in the medical literature has revolved around the ability of AI models to recognize anatomy and detect pathology on medical images, sometimes at the level of expert physicians. Ho...
Source: Academic Radiology - February 13, 2020 Category: Radiology Source Type: research

Artificial Intelligence Could Solve Alarm Fatigue in Hospitals
Have you heard of the story of The Boy Who Cried Wolf? It goes something like this: once upon a time, there was a shepherd boy who would cry for help for an impending wolf attack. This was naturally taken seriously by the village’s shepherds who would go on to protect their herd. However, it turns out that the fun-loving boy was just teasing the villagers and there was no wolf in sight. But the problem was, he would do this repeatedly until no one would take him seriously, even on the day when he saw an actual wolf and no one heeded his call for help. This analogy aligns very well with what is known as alarm fatigue i...
Source: The Medical Futurist - February 13, 2020 Category: Information Technology Authors: Prans Tags: Artificial Intelligence Healthcare Design Hospital hospital design Source Type: blogs