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Differential patterns of growth in reading and math skills during elementary school. - PsycNET
This study investigated developmental trajectories of reading and math using latent-growth-curve analyses across multiple academic skills, measures, and multiple time periods within a single sample. Reading-related growth was marked by significant individual differences during the early elementary-school period and nonsignificant individual differences during the late elementary-school period. For math-related skills, nonsignificant individual differences were present for early math growth and significant individual differences were present in late elementary-school. No clear pattern of cumulative, compensatory, or stable ...
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - September 18, 2020 Category: Neuroscience Source Type: blogs

A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures
Conditions:   Colon Polyp;   Colon Neoplasm;   Colon Adenoma Intervention:   Device: EndoVigilant Software Sponsor:   EndoVigilant Inc Not yet recruiting
Source: ClinicalTrials.gov - September 18, 2020 Category: Research Source Type: clinical trials

The Emerging Role of Artificial Intelligence in the Fight Against COVID-19
Publication date: Available online 17 September 2020Source: European UrologyAuthor(s): Aruni Ghose, Sabyasachi Roy, Nikhil Vasdev, Jonathon Olsburgh, Prokar Dasgupta
Source: European Urology - September 18, 2020 Category: Urology & Nephrology Source Type: research

A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures
Conditions:   Colon Polyp;   Colon Neoplasm;   Colon Adenoma Intervention:   Device: EndoVigilant Software Sponsor:   EndoVigilant Inc Not yet recruiting
Source: ClinicalTrials.gov - September 18, 2020 Category: Research Source Type: clinical trials

Brief History of Artificial Intelligence
Publication date: Available online 18 September 2020Source: Neuroimaging Clinics of North AmericaAuthor(s): Nikesh Muthukrishnan, Farhad Maleki, Katie Ovens, Caroline Reinhold, Behzad Forghani, Reza Forghani
Source: Neuroimaging Clinics of North America - September 18, 2020 Category: Radiology Source Type: research

Diverse Applications of Artificial Intelligence in Neuroradiology
Publication date: Available online 17 September 2020Source: Neuroimaging Clinics of North AmericaAuthor(s): Michael Tran Duong, Andreas M. Rauschecker, Suyash Mohan
Source: Neuroimaging Clinics of North America - September 18, 2020 Category: Radiology Source Type: research

Machine Intelligence in Neurologic and Head and Neck Imaging
Publication date: Available online 17 September 2020Source: Neuroimaging Clinics of North AmericaAuthor(s): Reza Forghani
Source: Neuroimaging Clinics of North America - September 18, 2020 Category: Radiology Source Type: research

An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1: Hemorrhagic Stroke Imaging and Triage
Publication date: Available online 17 September 2020Source: Neuroimaging Clinics of North AmericaAuthor(s): Rajiv Gupta, Sanjith Prahas Krishnam, Pamela W. Schaefer, Michael H. Lev, R. Gilberto Gonzalez
Source: Neuroimaging Clinics of North America - September 18, 2020 Category: Radiology Source Type: research

When Artificial Intelligence Disagrees With the Doctor, Who’s Right? The Answer Might Not Be So Evident
No abstract available
Source: Diseases of the Colon and Rectum - September 18, 2020 Category: Gastroenterology Tags: Editorials Source Type: research

Artificial intelligence and fractal dimension for monitoring ataxia
(Universit à di Bologna) A new Unibo-led project won the Spring Seed Grant by Telethon Foundation. Researchers will work to develop innovative techniques and cutting-edge computational approaches to fight rare and extremely debilitating diseases such as Friedreich's and spinocerebellar ataxia.
Source: EurekAlert! - Medicine and Health - September 18, 2020 Category: International Medicine & Public Health Source Type: news

The Effects of Religious Orientations on Malevolent Creativity: Role of Positive Emotions and Spiritual Intelligence
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Source: Creativity Research Journal - September 18, 2020 Category: Psychiatry & Psychology Authors: Alireza khorakian David Hemsworth Mostafa Jahangir Yaghoob Maharati Elahe Sadat Bagherpour Jonathan Muterera Source Type: research

We Are Seeing Increasing Interest In AI – Even Down To The State Government Level.
 This appeared last week suggesting we are slipping behind. AI in health care: Australia in danger of lagging behind Authored by Nicole MacKee Issue 35 / 7 September 2020 AUSTRALIA risks being “left behind” as an innovator in artificial intelligence (AI) in health care, says a leading expert who is calling for greater investment and regulatory rigour in the field. Professor Enrico Coiera, Director of the Centre for Health Informatics at the Australian Institute of Health Innovation at Macquarie University, said investment in AI in Australia was lagging. “We are not seeing commensurate investment here in Australi...
Source: Australian Health Information Technology - September 18, 2020 Category: Information Technology Authors: Dr David G More MB PhD Source Type: blogs

Psychological aging, depression, and well-being.
Abstract Aging is a multifactorial process, which affects the human body on every level and results in both biological and psychological changes. Multiple studies have demonstrated that a lower subjective age is associated with better mental and physical health, cognitive functions, well-being and satisfaction with life. In this work we propose a list of non-modifiable and modifiable factors that may possibly be influenced by subjective age and its changes across an individual's lifespan. These factors can be used for a future development of individual psychological aging clocks, which may be utilized as a sensiti...
Source: Aging - September 18, 2020 Category: Biomedical Science Authors: Mitina M, Young S, Zhavoronkov A Tags: Aging (Albany NY) Source Type: research

Effects of early and recent mercury and lead exposure on the neurodevelopment of children with elevated mercury and/or developmental delays during lactation: A follow-up study.
Abstract This follow-up study of 82 children investigated the potential impact of early and recent exposure to mercury and lead on their neurodevelopmental performance at 5-8 years of age (2017-2018). Early exposure of these children to mercury, methylmercury, and lead was assessed during lactation at 3-12 months old, as well as their mother's exposure using measurements from a cross-sectional study (2011-2013). Only infants who failed to pass the neurodevelopment screening tools and/or had elevated mercury were included in this study. Urine and hair were sampled during the follow-up study to assess the children's...
Source: International Journal of Hygiene and Environmental health - September 18, 2020 Category: Environmental Health Authors: Al-Saleh I, Moncari L, Jomaa A, Elkhatib R, Al-Rouqi R, Eltabache C, Al-Rajudi T, Alnuwaysir H, Nester M, Aldhalaan H Tags: Int J Hyg Environ Health Source Type: research

Leadership Essentials for the Chest Physician: Models, Attributes, and Styles.
Abstract In the context that leadership matters and that leadership competencies differ from those needed to practice medicine or conduct research, developing leadership competencies for physicians is important. Indeed, effective leadership is needed ubiquitously in healthcare, both at the executive level and at the bedside, e.g., leading clinical teams and problem-solving on the ward. Various leadership models have been proposed, most converging on common attributes - as described by Kouzes and Posner - of envisioning a new and better future state, inspiring others around this shared vision, empowering others to ...
Source: Chest - September 18, 2020 Category: Respiratory Medicine Authors: Stoller JK Tags: Chest Source Type: research

Proximity matters: Using machine learning and geospatial analytics to reduce COVID-19 exposure risk
Data science and clinical teams at PCCI, in collaboration with Parkland informaticists, have developed an AI-driven predictive model that predicts for individual COVID-19 exposure risk, based on population density and their proximity to positive cases.
Source: Healthcare IT News Blog - September 17, 2020 Category: Information Technology Tags: Analytics Artificial Intelligence Population Health Source Type: blogs

RapidAI secures $25M in funding
Artificial intelligence (AI) software developer RapidAI has secured $25 million...Read more on AuntMinnie.comRelated Reading: RapidAI launches web app, wins ISO certification Meet the Minnies 2020 semifinal candidates RapidAI wins FDA clearance for LVO identification RapidAI achieves Rapid milestone RapidAI gets FDA clearance for stroke imaging AI
Source: AuntMinnie.com Headlines - September 17, 2020 Category: Radiology Source Type: news

Artificial intelligence and radiomics for radiation oncology
Source: Strahlentherapie und Onkologie - September 17, 2020 Category: Cancer & Oncology Source Type: research

Electronic health records: a critical appraisal of strengths and limitations.
Authors: Kataria S, Ravindran V Abstract Electronic health record (EHR) was hailed as a major step towards making healthcare more transparent and accountable. All the developed nations digitised their health records which were meant to be safe, secure and could be accessed on demand. This was intended to benefit all stakeholders. However, the jury is still out if the EHR has been worth it. There have been incidences of data breaches despite cybersecurity checks and of manipulation compromising clinicians' integrity and patients' safety. EHRs have also been blamed for doctor burnout in overloading them with a largel...
Source: Journal of the Royal College of Physicians of Edinburgh - September 17, 2020 Category: General Medicine Tags: J R Coll Physicians Edinb Source Type: research

The importance of the assurance that “humans are still in the decision loop” for public trust in artificial intelligence: Evidence from an online experiment
Publication date: Available online 15 September 2020Source: Computers in Human BehaviorAuthor(s): Naomi Aoki
Source: Computers in Human Behavior - September 17, 2020 Category: Information Technology Source Type: research

Role of socio-economic status and emotional intelligence on sports attainments: A cross-sectional study with women athletes in Kerala, India
Publication date: Available online 16 September 2020Source: Materials Today: ProceedingsAuthor(s): C.B. Rajesh, Sakeer Hussain, Nafih Cherappurath
Source: Materials Today: Proceedings - September 17, 2020 Category: Materials Science Source Type: research

Knowledge Based Versus Data Based
The advent of big data and deep learning algorithms has promoted a major shift toward data-driven methods in medical image analysis recently. However, the medical image analysis field has a long and rich history inclusive of both knowledge-driven and data-driven methodologies. In the present article, we provide a historical review of an illustrative sample of medical image analysis methods and locate them along a knowledge-driven versus data-driven continuum. In doing so, we highlight the historical importance as well as current-day relevance of more traditional, knowledge-based artificial intelligence approaches and their...
Source: Neuroimaging Clinics - September 17, 2020 Category: Radiology Authors: Peter Savadjiev, Caroline Reinhold, Diego Martin, Reza Forghani Source Type: research

Accuracy of artificial intelligence formulas and axial length adjustments for highly myopic eyes
Myopia has been on steep rise over the past 50 years, especially in Asia, with around 80-90% of young adults affected by myopia and an accompanying high prevalence of high myopia (10-20%).1 High myopia, commonly defined as axial length (AL) ≥26.0mm, is associated with the early onset of cataract2 and myopic eyes are more likely to have nuclear cataract and posterior subcapsular cataract3. However, intraocular lens (IOL) power calculation remains challenging for highly myopic eyes4 and various existing formulas have been shown to be d eficient for highly myopic eyes due to the complex condition of the fundus.
Source: American Journal of Ophthalmology - September 17, 2020 Category: Opthalmology Authors: Huanhuan Cheng, Li Wang, Jack X. Kane, Jianbing Li, Liangping Liu, Mingxing Wu Tags: Original Articles Source Type: research

Deep learning meets metabolomics: a methodological perspective.
Abstract Deep learning (DL), an emerging area of investigation in the fields of machine learning and artificial intelligence, has markedly advanced over the past years. DL techniques are being applied to assist medical professionals and researchers in improving clinical diagnosis, disease prediction and drug discovery. It is expected that DL will help to provide actionable knowledge from a variety of 'big data', including metabolomics data. In this review, we discuss the applicability of DL to metabolomics, while presenting and discussing several examples from recent research. We emphasize the use of DL in tacklin...
Source: Briefings in Bioinformatics - September 17, 2020 Category: Bioinformatics Authors: Sen P, Lamichhane S, Mathema VB, McGlinchey A, Dickens AM, Khoomrung S, Orešič M Tags: Brief Bioinform Source Type: research

Sensors, Vol. 20, Pages 5321: AI Approaches Towards Prechtl ’s Assessment of General Movements: A Systematic Literature Review
Sensors, Vol. 20, Pages 5321: AI Approaches Towards Prechtl’s Assessment of General Movements: A Systematic Literature Review Sensors doi: 10.3390/s20185321 Authors: Muhammad Tausif Irshad Muhammad Adeel Nisar Philip Gouverneur Marion Rapp Marcin Grzegorzek General movements (GMs) are spontaneous movements of infants up to five months post-term involving the whole body varying in sequence, speed, and amplitude. The assessment of GMs has shown its importance for identifying infants at risk for neuromotor deficits, especially for the detection of cerebral palsy. As the assessment is based on videos of the i...
Source: Sensors - September 17, 2020 Category: Biotechnology Authors: Muhammad Tausif Irshad Muhammad Adeel Nisar Philip Gouverneur Marion Rapp Marcin Grzegorzek Tags: Review Source Type: research

Point-of-Care Ultrasound
AbstractPurpose of the ReviewPoint-of-care ultrasound using small ultrasound devices has expanded beyond emergency and critical care medicine to many other subspecialties. Awareness of the strengths and limitations of the technology and knowledge of the appropriate settings and common indications for point-of-care ultrasound is important.Recent FindingsPoint-of-care ultrasound is widely embraced as an extension of the physical exam and is employed in acute care and medical education settings. Echocardiography laboratories involved in education must individualize training to the intended scope of practice of the user. Advan...
Source: Current Cardiology Reports - September 17, 2020 Category: Cardiology Source Type: research

Aidoc raises $60M total in financing
Artificial intelligence company Aidoc raised an additional $20 million...Read more on AuntMinnie.comRelated Reading: Aidoc secures European contract FDA OKs use of Aidoc AI software for COVID-19 Aidoc secures CE Mark for pulmonary AI LucidHealth adopts Aidoc radiology AI Aidoc secures FDA clearance for AI stroke software
Source: AuntMinnie.com Headlines - September 16, 2020 Category: Radiology Source Type: news

National AI Research Institute in Dynamic Systems Webinar
Sep 25 2020 3:00PM toSep 25 2020 4:00PMNSF (virtual)To learn about National Artificial Intelligence (AI) Research Institutes Theme 5: AI Institute in Dynamic Systems, please join NSF on September 25, 2020, for a webinar starting at 3:00 PM Eastern. The National AI Research Institutes program seeks to enable multidisciplinary, multi-stakeholder research on large-scale, long-time-horizon challenges in areas of national importance, through the growth of the network of National AI Research ... More at https://www.nsf.gov/events/event_summ.jsp?cntn_id=301241&WT.mc_id=USNSF_13&WT.mc_ev=click This is an NSF Events item.
Source: NSF Events - September 16, 2020 Category: Science Source Type: events

Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbot.
Conclusion: Renal function in elderly KT recipients was lower than in younger KT recipients. However, patients aged ≥60 years maintained enough renal function to remain off dialysis. Moreover, a learning machine application built a robot (Elderly KTbot) to predict in the elderly populations the likelihood of worse renal function one year after KT. PMID: 32922997 [PubMed]
Source: Journal of Aging Research - September 16, 2020 Category: Geriatrics Tags: J Aging Res Source Type: research

Construction of an Artificial Intelligence Platform for Cervical Cytopathological Diagnosis
Conditions:   Cervical Cancer;   Diagnostic Platform;   Cervical Cytology Screening Intervention:   Diagnostic Test: No interventions Sponsor:   Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells
Conditions:   Hematologic Diseases;   Artificial Intelligence;   Acute Leukemia Intervention:   Other: there are not any interventions in this study Sponsors:   National Taiwan University Hospital;   National Taiwan University Tai-Chen Cell Therapy Center, Biomdcare Corporation Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Construction of an Artificial Intelligence Platform for Cervical Cytopathological Diagnosis
Conditions:   Cervical Cancer;   Diagnostic Platform;   Cervical Cytology Screening Intervention:   Diagnostic Test: No interventions Sponsor:   Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells
Conditions:   Hematologic Diseases;   Artificial Intelligence;   Acute Leukemia Intervention:   Other: there are not any interventions in this study Sponsors:   National Taiwan University Hospital;   National Taiwan University Tai-Chen Cell Therapy Center, Biomdcare Corporation Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Construction of an Artificial Intelligence Platform for Cervical Cytopathological Diagnosis
Conditions:   Cervical Cancer;   Diagnostic Platform;   Cervical Cytology Screening Intervention:   Diagnostic Test: No interventions Sponsor:   Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells
Conditions:   Hematologic Diseases;   Artificial Intelligence;   Acute Leukemia Intervention:   Other: there are not any interventions in this study Sponsors:   National Taiwan University Hospital;   National Taiwan University Tai-Chen Cell Therapy Center, Biomdcare Corporation Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Construction of an Artificial Intelligence Platform for Cervical Cytopathological Diagnosis
Conditions:   Cervical Cancer;   Diagnostic Platform;   Cervical Cytology Screening Intervention:   Diagnostic Test: No interventions Sponsor:   Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Establishing Automatic Method of Counting and Classify Bone Marrow and Peripheral Blood Cells
Conditions:   Hematologic Diseases;   Artificial Intelligence;   Acute Leukemia Intervention:   Other: there are not any interventions in this study Sponsors:   National Taiwan University Hospital;   National Taiwan University Tai-Chen Cell Therapy Center, Biomdcare Corporation Recruiting
Source: ClinicalTrials.gov - September 16, 2020 Category: Research Source Type: clinical trials

Artificial intelligence and automation of systematic reviews in women's health
This article describes the main fields of artificial intelligence with examples of its application to systematic reviews. These include the capabilities of processing natural language texts, retrieving information, reasoning, and learning. The complementarity and interconnection of the various artificial intelligence techniques can be harnessed to solve difficult problems in automation of reviews. Computer science can advance evidence-based medicine through development, testing, and refinement of artificial intelligence tools to deploy automation, creating ‘living’ evidence syntheses. Summary Groundbreaking, high-qu...
Source: Current Opinion in Obstetrics and Gynecology - August 28, 2020 Category: OBGYN Tags: WOMEN'S HEALTH: Edited by Joseph Aquilina Source Type: research

Artificial intelligence in ophthalmology : Guidelines for physicians for the critical evaluation of studies.
CONCLUSION: Selection of an unsuitable measure of the goodness-of-fit, inadequate validation, or withholding of a null or reference model can obscure the actual goodness-of-fit of AI models. The illustrated pitfalls can help clinicians to identify such shortcomings. PMID: 32857270 [PubMed - as supplied by publisher]
Source: Der Ophthalmologe - August 28, 2020 Category: Opthalmology Authors: Pfau M, Walther G, von der Emde L, Berens P, Faes L, Fleckenstein M, Heeren TFC, Kortüm K, Künzel SH, Müller PL, Maloca PM, Waldstein SM, Wintergerst MWM, Schmitz-Valckenberg S, Finger RP, Holz FG Tags: Ophthalmologe Source Type: research

Free Webinar: Artificial Intelligence and the Future of Dentistry
 Martin,Join Patrick Williams, Director of Operations for Apteryx Imaging, as he outlines how artificial intelligence (AI) and machine learning are being developed to optimize clinical image quality, improve practice workflow efficiency and deliver enhanced diagnostic decision support. What you ' ll learn in this webinar:An overview of the different types of AI use-cases currently being deployed in dentistryHow AI and machine learning is improving digital x-ray image quality through automated quality assuranceThe methods by which artificial intelligence will provide enhanced clinical decision supportOpportunities...
Source: Dental Technology Blog - August 27, 2020 Category: Dentistry Source Type: news

IJERPH, Vol. 17, Pages 6255: Emotional Intelligence and Mental Health in the Family: The Influence of Emotional Intelligence Perceived by Parents and Children
Conclusions: We highlight the importance of perceived EI among family members, over and above the self-reported EI of each member, for its predictive power on the mental health of children.
Source: International Journal of Environmental Research and Public Health - August 27, 2020 Category: Environmental Health Authors: Mar ía Trinidad Sánchez-Núñez Noelia Garc ía-Rubio Pablo Fern ández-Berrocal Jos é Miguel Latorre Tags: Article Source Type: research

IJERPH, Vol. 17, Pages 6219: Influence of Resilience, Everyday Stress, Self-Efficacy, Self-Esteem, Emotional Intelligence, and Empathy on Attitudes toward Sexual and Gender Diversity Rights
oz The present study forms part of the project “Cross-disciplinary education for sexual, body, and gender diversity” (Code 419). The aim of this study was to analyze the role played by the psychoeducational variables involved in burnout (resilience, self-efficacy, self-esteem, emotional intelligence, empathy, and everyday stress) on attitudes toward sexual and gender diversity rights. Participants comprised 170 university students undertaking a degree in primary education. Instruments were administered to assess the constructs analyzed, ensuring informed consent, voluntary participation, ano...
Source: International Journal of Environmental Research and Public Health - August 27, 2020 Category: Environmental Health Authors: Francisco Manuel Morales Rodr íguez Ren é Rodríguez Clares Mar ía Remedios García Muñoz Tags: Article Source Type: research

AI (Artificial Intelligence) and Hypertension Research
AbstractPurpose of ReviewThis review a highlights that to use artificial intelligence (AI) tools effectively for hypertension research, a new foundation to further understand the biology of hypertension needs to occur by leveraging genome and RNA sequencing technology and derived tools on a broad scale in hypertension.Recent FindingsFor the last few years, progress in research and management of essential hypertension has been stagnating while at the same time, the sequencing of the human genome has been generating many new research tools and opportunities to investigate the biology of hypertension. Cancer research has appl...
Source: Current Hypertension Reports - August 27, 2020 Category: Primary Care Source Type: research

Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis.
Abstract Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the consumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application (Skin Image Search™) for recognition of skin diseases. Clinical images including tumours, infective and inflammatory skin diseases were collected at the Department of Dermatology at the Sahlgrenska University Hospital and uploaded for classification by the online application. The AI algorithm classified the images giving 5 differential diagnoses, which were then compa...
Source: Acta Dermato-Venereologica - August 27, 2020 Category: Dermatology Authors: Zaar O, Larson A, Polesie S, Saleh K, Tarstedt M, Olives A, Suárez A, Gillstedt M, Neittaanmäki N Tags: Acta Derm Venereol Source Type: research