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Assessing Cultural Intelligence and Study Abroad Experiences of Dietetics Students and Professionals
To assess the relationship between study abroad participation and levels of cultural intelligence (CQ) of dietetics students and professionals.
Source: Journal of Nutrition Education and Behavior - September 30, 2020 Category: Nutrition Authors: Emily Merklen, Kara L. Wolfe Tags: Research Brief Source Type: research

Recommendations for enhancing the usability and understandability of process mining in healthcare
Publication date: Available online 28 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Niels Martin, Jochen De Weerdt, Carlos Fernández-Llatas, Avigdor Gal, Roberto Gatta, Gema Ibáñez, Owen Johnson, Felix Mannhardt, Luis Marco-Ruiz, Steven Mertens, Jorge Munoz-Gama, Fernando Seoane, Jan Vanthienen, Moe Thandar Wynn, David Baltar Boilève, Jochen Bergs, Mieke Joosten-Melis, Stijn Schretlen, Bart Van Acker
Source: Artificial Intelligence in Medicine - September 30, 2020 Category: Bioinformatics Source Type: research

Reinforcement Learning for Intelligent Healthcare Applications: A Survey
Publication date: Available online 28 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola
Source: Artificial Intelligence in Medicine - September 30, 2020 Category: Bioinformatics Source Type: research

Embracing the role of artificial intelligence in the medication-use process.
PMID: 32997133 [PubMed - as supplied by publisher]
Source: American Journal of Health-System Pharmacy : AJHP - September 29, 2020 Category: Drugs & Pharmacology Authors: Cobaugh DJ, Thompson KK Tags: Am J Health Syst Pharm Source Type: research

Artificial Intelligence: A Private Practice Perspective
Artificial intelligence (AI) is an exciting technology that can transform the practice of radiology. However, radiology AI is still immature with limited adopters, dominated by academic institutions, and few use cases in general practice. With scale and a focus on innovation, our practice has had the opportunity to be an early adopter of AI technology. We have gained experience identifying use cases that provide value for our patients and practice, selecting AI products and vendors; piloting vendors ’ AI algorithms; creating our own AI algorithms; implementing, optimizing, and maintaining these algorithms; garnering radi...
Source: Journal of the American College of Radiology : JACR - September 29, 2020 Category: Radiology Authors: Nina Kottler Tags: Original Article Source Type: research

Artificial Intelligence and the Trainee Experience in Radiology
The hype around artificial intelligence (AI) in radiology continues unabated, despite the fact that the exact role AI will play in future radiology practice remains undefined. Nevertheless, education of the radiologists of the future is ongoing and needs to account for the uncertainty of this new technology. Radiology residency training has evolved even before the recent advent of imaging AI. Yet radiology residents and fellows will likely one day experience the benefits of an AI-enabled clinical training.
Source: Journal of the American College of Radiology : JACR - September 29, 2020 Category: Radiology Authors: Scott A. Simpson, Tessa S. Cook Tags: Original Article Source Type: research

Trying to Make AI Less Squirrelly
By KIM BELLARD You may have missed it, but the Association for the Advancement of Artificial Intelligence (AAAI) just announced its first annual Squirrel AI award winner: Regina Barzilay, a professor at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL).   In fact, if you’re like me, you may have missed that there was a Squirrel AI award.  But there is, and it’s kind of a big deal, especially for healthcare – as Professor Barzilay’s work illustrates.  The Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity (Squirrel AI is a Chinese-based AI-powere...
Source: The Health Care Blog - September 29, 2020 Category: Consumer Health News Authors: Christina Liu Tags: Artificial Intelligence Health Tech AI Kim Bellard Regina Barzilay Squirrel AI award Source Type: blogs

The Future of Emergency Medicine: 6 Technologies That Make Patients The Point-of-Care
Car crashes, home injuries, fires, natural disasters: every minute – if not every second – spent without treatment in such cases of medical emergencies and high-risk patients could reduce the chance of survival or proper recovery. In fact, when deprived of oxygen, permanent brain damage begins after only 4 minutes, while death can occur as soon as 4-6 minutes later. In this race against time, digital health technologies that turn patients into the point-of-care could prove to be game-changers for first responders and emergency units.  From driverless cars through medical drones to artificial intelligence (...
Source: The Medical Futurist - September 29, 2020 Category: Information Technology Authors: berci.mesko Tags: Artificial Intelligence in Medicine Future of Medicine Healthcare Design Healthcare Policy Portable Medical Diagnostics Robotics Telemedicine & Smartphones digital health Health 2.0 Innovation technology emergency emergency medicin Source Type: blogs

Harnessing big data and artificial intelligence to predict future pandemic spread
(Texas A&M University) During COVID-19, artificial intelligence (AI) has been used to enhance diagnostic efforts, deliver medical supplies and even assess risk factors from blood tests. Now, artificial intelligence is being used to forecast future COVID-19 cases.
Source: EurekAlert! - Infectious and Emerging Diseases - September 29, 2020 Category: Infectious Diseases Source Type: news

Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes
Manual auscultation to detect abnormal breath sounds has poor inter-observer reliability. Digital stethoscopes with artificial intelligence (AI) could improve reliable detection of these sounds. We aimed to in...
Source: Respiratory Research - September 29, 2020 Category: Respiratory Medicine Authors: Ajay Kevat, Anaath Kalirajah and Robert Roseby Tags: Research Source Type: research

Artificial intelligence as an analytic approximation to evaluate associations between Parental Feeding Behaviors and Excess Weight in Colombian Preschoolers.
Abstract Parental practices can affect children's weight and body mass index and may even be related to a high prevalence of obesity. Therefore, the aim of this study was to evaluate the relationship between parents' practices related to feeding their children and excess weight in preschoolers in Bucaramanga, Colombia, using artificial intelligence as an analytical and novel approximation. A Cross-sectional study was carried out between September and December 2017. Sample included preschoolers who attended child development institutions belonging to the Colombian Institute for Family Wellbeing (Instituto Colombian...
Source: The British Journal of Nutrition - September 27, 2020 Category: Nutrition Authors: Gamboa-Delgado EM, Amaya-Castellanos CI, Bahamonde A Tags: Br J Nutr Source Type: research

Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture.
Abstract Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in different fields of technology and science and have recently been applied to improve different stages of plant tissue culture. The usefulness of the application of AI-OA has been demonstrated in the prediction and optimization of length and number of microshoots or roots, biomass in plant cell cultures or hairy root culture, and optimization of environmental conditions to achieve maximum productivity and efficiency, as well as classification of microshoots and somatic embryos. Despite its potential, the use of AI ...
Source: Applied Microbiology and Biotechnology - September 27, 2020 Category: Microbiology Authors: Hesami M, Jones AMP Tags: Appl Microbiol Biotechnol Source Type: research

Artificial intelligence in gastric cancer: Application and future perspectives.
Abstract Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a 5-year survival rate of less than 40%. In recent years, several applications of artificial intelligence (AI) have emerged in the gastric cancer field based on its efficient computational power and learning capacities, such as image-based diagnosis and prognosis prediction. AI-assisted diagnosis includes pathology, endoscopy, and computerized tomography, while researchers in the prognosis circle focus on recurrence, metastasis, and survival prediction. In this review, a comprehensive literature search was perfor...
Source: World Journal of Gastroenterology : WJG - September 27, 2020 Category: Gastroenterology Authors: Niu PH, Zhao LL, Wu HL, Zhao DB, Chen YT Tags: World J Gastroenterol Source Type: research

BOMBSHELL: Federal intelligence officials cloned phones to surveil and map entire structure of Antifa / BLM terrorist operations in preparation for mass arrests
(Natural News) As you might recall, we’ve been reporting on Trump’s plans to invoke the Insurrection Act after the election, deploying military troops on the streets to halt the extremist left-wing political coup attempt that’s expect to be activated shortly after the election. Now, fascinating news has emerged that confirms US federal intelligence officials have,...
Source: - September 27, 2020 Category: Consumer Health News Source Type: news

Use of artificial intelligence and massive data (big data) to identify the risk factors of open surgery to treat infrarenal abdominal aortic aneurysms: A pilot study
To evaluate the reliability of the techniques involving the use of artificial intelligence (AI) for big data analytics in clinical practice, we compared the traditional analysis (A) of electronic health records (EHR) with that using AI and big data (B) to identify the risk factors of open surgery for abdominal aortic aneurysm (AAA). The primary outcomes were the postoperative complications (death, acute impaired renal function, reintervention, colon ischemia) and the late complications (reintervention, chronic impaired renal function, graft infection).
Source: Annals of Vascular Surgery - September 27, 2020 Category: Surgery Authors: Jean-Baptiste Ricco, Farid Guetarni Source Type: research

Artificial intelligence to detect the patients eligible to vascular surgery
In the Hainaut-Cambr ésis region, a medical desert, a comparatively high death rate related to cardiovascular diseases in patients less than 65 years was observed, with an increase of 78% in women and 60% in men, compared to the whole Metropolitan France. An automatic computerized processing of medical data using artif icial intelligence could contribute to an early identification of the patients with vascular risk and to propose adapted screening and management programs.
Source: Annals of Vascular Surgery - September 27, 2020 Category: Surgery Authors: S ébastien Amiot, Ismat Draa Chaib, Julien Taillard, Abdelahad Chraibi, David Delerue, Bruno Lernout, Adrien Hertault Source Type: research

Applications of Artificial Intelligence to Dermatology Applications of Artificial Intelligence to Dermatology
Review the concepts of artificial intelligence, machine learning, neural networks, and deep learning and their applicability to improving diagnosis in dermatology.The British Journal of Dermatology
Source: Medscape Today Headlines - September 25, 2020 Category: Consumer Health News Tags: Dermatology Journal Article Source Type: news

Application of Artificial Intelligence for Early Diagnosis of Gastric Cancer During Optical Enhancement Magnifying Endoscopy
Conditions:   Artificial Intelligence;   Optical Enhancement Endoscopy;   Magnifying Endoscopy Intervention:   Sponsor:   Shandong University Recruiting
Source: - September 24, 2020 Category: Research Source Type: clinical trials

Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues.
This study profoundly investigates these controversial research topics to achieve a precise, concrete, and concise conclusion. Thus, this study provides significant recommendations on future research directions related to COVID-19. PMID: 32965018 [PubMed - as supplied by publisher]
Source: European Review for Medical and Pharmacological Sciences - September 24, 2020 Category: Drugs & Pharmacology Tags: Eur Rev Med Pharmacol Sci Source Type: research

Application of Artificial Intelligence for Early Diagnosis of Gastric Cancer During Optical Enhancement Magnifying Endoscopy
Conditions:   Artificial Intelligence;   Optical Enhancement Endoscopy;   Magnifying Endoscopy Intervention:   Sponsor:   Shandong University Recruiting
Source: - September 24, 2020 Category: Research Source Type: clinical trials

Talking alone: Researchers use artificial intelligence tools to predict loneliness
(University of California - San Diego) A team led by researchers at University of California San Diego School of Medicine has used artificial intelligence technologies to analyze natural language patterns to discern degrees of loneliness in older adults.
Source: EurekAlert! - Medicine and Health - September 24, 2020 Category: International Medicine & Public Health Source Type: news

Editorial Board
Publication date: August 2020Source: Artificial Intelligence in Medicine, Volume 108Author(s):
Source: Artificial Intelligence in Medicine - September 24, 2020 Category: Bioinformatics Source Type: research

Sensors, Vol. 20, Pages 5480: An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications
naiz Irigaray Josiane Xavier Parreira Pierluigi Petrali Nelly Leligou Panagiotis Karkazis The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and information technology (IT) systems are used in data-driven analytics efforts to support more informed business intelligence decisions. However, these results are currently only used in isolated and dispersed parts of the production process. At the same time, full integration of artificial intelligence (AI) in all parts of manufacturing systems i...
Source: Sensors - September 23, 2020 Category: Biotechnology Authors: Panagiotis Trakadas Pieter Simoens Panagiotis Gkonis Lambros Sarakis Angelos Angelopoulos Alfonso P. Ramallo-Gonz ález Antonio Skarmeta Christos Trochoutsos Daniel Calv ο Tomas Pariente Keshav Chintamani Izaskun Fernandez Aitor Arnaiz Irigaray Josiane X Tags: Article Source Type: research

A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study.
Authors: Zhang Y, Liu Y, Zhu J, Zhai S, Jin R, Wen C Abstract The Traditional Chinese Medicine (TCM) formula is the main treatment method of TCM. A formula often contains multiple herbs where core herbs play a critical therapeutic effect for treating diseases. It is of great significance to find out the core herbs in formulae for providing evidences and references for the clinical application of Chinese herbs and formulae. In this paper, we propose a core herb discovery model CHDSC based on semantic analysis and community detection to discover the core herbs for treating a certain disease from large-scale literatur...
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Using artificial intelligence to connect vehicles and traffic infrastructure
(University of Pittsburgh) A multi-disciplinary group of researchers is awarded $1.89 million from DOE to create a new model for traffic intersections that reduces energy consumption utilizing artificial intelligence that links vehicles and infrastructure.
Source: EurekAlert! - Social and Behavioral Science - September 23, 2020 Category: International Medicine & Public Health Source Type: news

Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node
In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence ( ∼10%) of metastasis to lymph node. To reduce unnecessary surgical resections, we used artificial intelligence to build a model to identify T1 colorectal tumors at risk for metastasis to lymph node and validated the model in a separate set of patients.
Source: Gastroenterology - September 22, 2020 Category: Gastroenterology Authors: Shin-ei Kudo, Katsuro Ichimasa, Benjamin Villard, Yuichi Mori, Masashi Misawa, Shoichi Saito, Kinichi Hotta, Yutaka Saito, Takahisa Matsuda, Kazutaka Yamada, Toshifumi Mitani, Kazuo Ohtsuka, Akiko Chino, Daisuke Ide, Kenichiro Imai, Yoshihiro Kishida, Kei Source Type: research

Artificial intelligence and robotics: a combination that is changing the operating room
ConclusionsThe use of AI in robotic surgery is expected to have a significant impact on future surgical training as well as enhance the surgical experience during a procedure. Both aim to realize precision surgery and thus to increase the quality of the surgical care. Implementation of AI in master –slave robotic surgery may allow for the careful, step-by-step consideration of autonomous robotic surgery.
Source: World Journal of Urology - September 22, 2020 Category: Urology & Nephrology Source Type: research

Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologists
Conclusions Gastroenterologists have strong interest in the application of AI to colonoscopy, particularly with regard to CADe for polyp detection. The primary concerns were its cost, potential to increase procedural time, and potential to develop operator dependence. Future developments in AI should prioritize mitigation of these concerns. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  open access Full text
Source: Endoscopy International Open - September 21, 2020 Category: Gastroenterology Authors: Wadhwa, Vaibhav Alagappan, Muthuraman Gonzalez, Adalberto Gupta, Kapil Brown, Jeremy R. Glissen Cohen, Jonah Sawhney, Mandeep Pleskow, Douglas Berzin, Tyler M. Tags: Original article Source Type: research

Surrogates and Artificial Intelligence: Why AI Trumps Family
AbstractThe increasing accuracy of algorithms to predict values and preferences raises the possibility that artificial intelligence technology will be able to serve as a surrogate decision-maker for incapacitated patients. Following Camillo Lamanna and Lauren Byrne, we call this technology theautonomy algorithm (AA). Such an algorithm would mine medical research, health records, and social media data to predict patient treatment preferences. The possibility of developing the AA raises the ethical question of whether the AA or a relative ought to serve as surrogate decision-maker in cases where the patient has not issued a ...
Source: Science and Engineering Ethics - September 21, 2020 Category: Medical Ethics Source Type: research

Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques
ConclusionsThe localization result shows that mean IoU of RESNET50, RESNET101 are 0.79 and 0.74, respectively. The Dice similarity coefficient of IAC and its nerves using region growing, PSO and U-net method scored 92%, 94%, and 96%, respectively. The result shows that the proposed method outperform better in localization and segmentation of IAC and its nerves. Thus, AI aids the radiologists in making the right decisions as the localization and segmentation of IAC is accurate.
Source: International Journal of Computer Assisted Radiology and Surgery - September 21, 2020 Category: Intensive Care Source Type: research

Developing of intelligence walking stick and mobile application for elderly health care using the internet of things - Nuanmeesri S, Poomhiran L.
Nowadays, Thailand is stepping into an aging society. This research purposes developing the intelligence walking stick for the elderly in terms of the health care system by applied the internet of things devices and biometric sensors in a real-time system....
Source: SafetyLit - September 21, 2020 Category: International Medicine & Public Health Tags: Age: Elder Adults Source Type: news

Artificial intelligence-assisted esophageal cancer management: Now and future.
Abstract Esophageal cancer poses diagnostic, therapeutic and economic burdens in high-risk regions. Artificial intelligence (AI) has been developed for diagnosis and outcome prediction using various features, including clinicopathologic, radiologic, and genetic variables, which can achieve inspiring results. One of the most recent tasks of AI is to use state-of-the-art deep learning technique to detect both early esophageal squamous cell carcinoma and esophageal adenocarcinoma in Barrett's esophagus. In this review, we aim to provide a comprehensive overview of the ways in which AI may help physicians diagnose adv...
Source: World Journal of Gastroenterology : WJG - September 20, 2020 Category: Gastroenterology Authors: Zhang YH, Guo LJ, Yuan XL, Hu B Tags: World J Gastroenterol Source Type: research

Is artificial intelligence the final answer to missed polyps in colonoscopy?
Abstract Lesions missed by colonoscopy are one of the main reasons for post-colonoscopy colorectal cancer, which is usually associated with a worse prognosis. Because the adenoma miss rate could be as high as 26%, it has been noted that endoscopists with higher adenoma detection rates are usually associated with lower adenoma miss rates. Artificial intelligence (AI), particularly the deep learning model, is a promising innovation in colonoscopy. Recent studies have shown that AI is not only accurate in colorectal polyp detection but can also reduce the miss rate. Nevertheless, the application of AI in real-time de...
Source: World Journal of Gastroenterology : WJG - September 20, 2020 Category: Gastroenterology Authors: Lui TKL, Leung WK Tags: World J Gastroenterol Source Type: research

IJERPH, Vol. 17, Pages 6865: The Protective Association of Trait and Ability Emotional Intelligence with Adolescent Tobacco Use
In this study, 799 students between the ages of 12 and 16 participated. A self-report on trait EI, an EI peak performance test, and questions about habits relating to tobacco use were administered. This cross-sectional study developed a quantitative and correlation-type methodology. The main results of the regression analyses, once the sex and age of the participants were controlled, revealed negative associations between the factors of clarity and emotional repair of the trait EI with respect to the variables of tobacco use, and a positive association was found for them and emotional attention. By comparison, with respect...
Source: International Journal of Environmental Research and Public Health - September 19, 2020 Category: Environmental Health Authors: Sara Gonz ález-Yubero Susana L ázaro-Visa Raquel Palomera Mart ín Tags: Article Source Type: research

Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19 - A Case Series
We examined all patients in the Mayo Clinic system who underwent clinically indicated electrocardiography and echocardiography within 2 weeks following a positive COVID-19 and had permitted use of their data for research were included.
Source: Mayo Clinic Proceedings - September 18, 2020 Category: Internal Medicine Authors: Zachi I. Attia, Suraj Kapa, Peter A. Noseworthy, Francisco Lopez-Jimenez, Paul A. Friedman Tags: Brief Report Source Type: research

Teleassessment with children and adolescents during the coronavirus (COVID-19) pandemic and beyond: Practice and policy implications.
 Teleassessment with children and adolescents during the coronavirus (COVID-19) pandemic and beyond: Practice and policy implications. to physical distancing guidelines, the closure of nonessential businesses, and the closure of public schools, the role of telehealth for the delivery of psychological services for children has never been more debated. However, the transition to teleassessment is more complicated for some types of assessment than others. For instance, the remote administration of achievement and intelligence testsis a r...
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - September 18, 2020 Category: Neuroscience Source Type: blogs

New roles for clinicians in the age of artificial intelligence
(Compuscript Ltd) New Roles for Clinicians in the Age of Artificial Intelligence Announcing a new article publication for BIO Integration journal. In this opinion article the authors Fengyi Zeng, Xiaowen Liang and Zhiyi Chen from The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China consider new roles for clinicians in the age of artificial intelligence (AI).
Source: EurekAlert! - Medicine and Health - September 18, 2020 Category: International Medicine & Public Health Source Type: news

Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review
To (1) determine the diagnostic efficacy of artificial intelligence (AI) methods for detecting anterior cruciate ligament (ACL) and meniscus tears and to (2) compare the efficacy to human clinical experts.
Source: Arthroscopy - Journal of Arthroscopic and Related Surgery - September 17, 2020 Category: Surgery Authors: Kyle N. Kunze, David M. Rossi, Gregory M. White, Aditya V. Karhade, Jie Deng, Brady T. Williams, Jorge Chahla Tags: Systematic Review Source Type: research

Artificial intelligence in cardiac radiology
AbstractArtificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI algorithms can be also utilized to optimize image reconstruction and image quality. Since these algorithms will play an important role in the field of cardiac radiology, it is increasingly important for radiologists to be famili...
Source: La Radiologia Medica - September 17, 2020 Category: Radiology Source Type: research

Brief History of Artificial Intelligence
This article reviews the history of artificial intelligence and introduces the reader to major events that prompted interest in the field, as well as pitfalls and challenges that have slowed its development. The purpose of this article is to provide a high-level historical perspective on the development of the field over the past decades, highlighting the potential of the field for transforming health care, but also the importance of setting realistic expectations for artificial intelligence applications to avoid repeating historical cyclical trends and a third “artificial intelligence winter.”
Source: Neuroimaging Clinics - September 17, 2020 Category: Radiology Authors: Nikesh Muthukrishnan, Farhad Maleki, Katie Ovens, Caroline Reinhold, Behzad Forghani, Reza Forghani Source Type: research