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Corrigendum to “Fluid intelligence and neural mechanisms of emotional conflict adaptation” Int. J. Psychophysiol. 152 (2020) 1–14
Publication date: September 2020Source: International Journal of Psychophysiology, Volume 155Author(s): Danfeng Li, Tongran Liu, Jiannong Shi
Source: International Journal of Psychophysiology - June 4, 2020 Category: Psychiatry & Psychology Source Type: research

An Innovative Method for Screening and Evaluating the Degree of Diabetic Retinopathy and Drug Treatment Based on Artificial Intelligence Algorithms
Publication date: Available online 2 June 2020Source: Pharmacological ResearchAuthor(s): Qiwei Xie, Yanfei Liu, Hui Huang, Bei Hong, Jinxin Wang, Hua Han, Yue Liu
Source: Pharmacological Research - June 3, 2020 Category: Drugs & Pharmacology Source Type: research

A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images
Publication date: Available online 2 June 2020Source: Artificial Intelligence in MedicineAuthor(s): Elima Hussain, Lipi B. Mahanta, Chandana Ray Das, Manjula Choudhury, Manish Chowdhury
Source: Artificial Intelligence in Medicine - June 3, 2020 Category: Bioinformatics Source Type: research

Integrating expert’s knowledge constraint of time dependent exposures in structure learning for Bayesian networks
Publication date: Available online 2 June 2020Source: Artificial Intelligence in MedicineAuthor(s): Vahé Asvatourian, Philippe Leray, Stefan Michiels, Emilie Lanoy
Source: Artificial Intelligence in Medicine - June 3, 2020 Category: Bioinformatics Source Type: research

Editorial Board
Publication date: May 2020Source: Artificial Intelligence in Medicine, Volume 105Author(s):
Source: Artificial Intelligence in Medicine - June 3, 2020 Category: Bioinformatics Source Type: research

The matrix in context: taking stock of police gang databases in London and beyond - Densley JA, Pyrooz DC.
Technology has ushered in a new era of intelligence-led and 'big data' policing, and police gang databases are part of this paradigmatic shift. In recent years, however, gang databases have come under intense public scrutiny. For example, Amnesty Internati...
Source: SafetyLit - June 3, 2020 Category: International Medicine & Public Health Tags: Jurisprudence, Laws, Legislation, Policies, Rules Source Type: news

AI boosts assessment of cancer treatment response
Artificial intelligence (AI) software can significantly enhance assessment...Read more on AuntMinnie.comRelated Reading: AI can aid radiologists in detecting pancreatic cancer Quantitative analysis of CT predicts COVID-19 outcomes fMRI-based machine learning helps predict coma outcomes Can machine-learning models predict IR outcomes? AI boosts CT's COVID-19 diagnostic performance
Source: AuntMinnie.com Headlines - June 3, 2020 Category: Radiology Source Type: news

Artificial intelligence can improve how chest images are used in care of COVID-19 patients
(Johns Hopkins Medicine) According to a recent report by Johns Hopkins Medicine researchers, artificial intelligence (AI) should be used to expand the role of chest X-ray imaging -- using computed tomography, or CT -- in diagnosing and assessing coronavirus infection so that it can be more than just a means of screening for signs of COVID-19 in a patient's lungs.
Source: EurekAlert! - Infectious and Emerging Diseases - June 3, 2020 Category: Infectious Diseases Source Type: news

App determines COVID-19 disease severity using artificial intelligence, biomarkers
(New York University) A new mobile app can help clinicians determine which patients with the novel coronavirus (COVID-19) are likely to have severe cases. Created by researchers at NYU College of Dentistry, the app uses artificial intelligence (AI) to assess risk factors and key biomarkers from blood tests, producing a COVID-19 'severity score.'
Source: EurekAlert! - Infectious and Emerging Diseases - June 3, 2020 Category: Infectious Diseases Source Type: news

Artificial Intelligence: Promise, Pitfalls, and Perspective
In this Medical News article, JAMA Fishbein Fellow Angel N. Desai, MD, MPH, speaks with scientist and entrepreneur Gary Marcus, PhD, about the potential of artificial intelligence in health care and the current coronavirus pandemic.
Source: JAMA - Journal of the American Medical Association - June 3, 2020 Category: General Medicine Source Type: research

Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications
Publication date: Available online 1 June 2020Source: Artificial Intelligence in MedicineAuthor(s): Andy J Ma, Jacky CP Chan, Frodo KS Chan, Pong C Yuen, Terry CF Yip, Yee-Kit Tse, Vincent WS Wong, Grace LH Wong
Source: Artificial Intelligence in Medicine - June 3, 2020 Category: Bioinformatics Source Type: research

Integrative Blockwise Sparse Analysis for Tissue Characterization and Classification
Publication date: Available online 1 June 2020Source: Artificial Intelligence in MedicineAuthor(s): Keni Zheng, Chelsea E. Harris, Rachid Jennane, Sokratis Makrogiannis
Source: Artificial Intelligence in Medicine - June 3, 2020 Category: Bioinformatics Source Type: research

Management of oligometastatic and oligoprogressive renal cell carcinoma: state of the art and future directions.
Authors: Donini M, Buti S, Massari F, Mollica V, Rizzo A, Montironi R, Bersanelli M, Santoni M Abstract INTRODUCTION: The aim of this paper was to perform a narrative review of the literature on the available approaches in the treatment of two emerging subpopulations of metastatic renal cell carcinoma (mRCC) patients: the oligometastatic disease (less than 5 metastasis) and the oligoprogressive disease, defined as worsening in maximum 3-5 sites while all other tumor sites are controlled by systemic therapy. AREAS COVERED: We explore all possible approaches in these settings of patients: the role of local therap...
Source: Expert Review of Anticancer Therapy - June 3, 2020 Category: Cancer & Oncology Tags: Expert Rev Anticancer Ther Source Type: research

Chikungunya outbreak (2015) in the Colombian Caribbean: Latent classes and gender differences in virus infection
We examined the relationship between symptomatology and diverse phenotypic responses. Latent Class Cluster Analysis (LCCA) models were used to characterize patients ’ symptomatology and further identify subgroups of individuals with differential phenotypic response. We found that most individuals presented fever (94.4%), headache (73.28%) and general discomfort (59.4%), which are distinct clinical symptoms of a viral infection. Furthermore, 11/26 (43.2%) of t he categorized symptoms were more frequent in women than in men. LCCA disclosed seven distinctive phenotypic response profiles in this population of CHIKV infected ...
Source: PLoS Neglected Tropical Diseases - June 3, 2020 Category: Tropical Medicine Authors: Oscar M. Vidal Source Type: research

IJERPH, Vol. 17, Pages 3967: Predictive Factors of Cyberbullying Perpetration amongst Spanish Adolescents
This study examines the predictive value of personal resources (emotional intelligence, gratitude, and core self-evaluations) and risk factors (cybervictimization, problematic Internet use), and parental control in online activities on adolescents’ involvement in cyberbullying perpetration. (2) A total of 2039 Spanish adolescents between 12 and 18 years of age took part in this research (53.9% females). (3) Twenty-two percent of the sample was engaged in cyberbullying behaviors (more male adolescents). Insults and online social exclusion were the most frequent types of cyberbullying perpetration. Age, cybervi...
Source: International Journal of Environmental Research and Public Health - June 3, 2020 Category: Environmental Health Authors: Yudes Rey Extremera Tags: Article Source Type: research

Correlation Between the Wechsler Adult Intelligence Scale- 3rd Edition Metrics and Brain Structure in Healthy Individuals: A Whole-Brain Magnetic Resonance Imaging Study
ConclusionThese results suggested the neurostructural bases of the WAIS-III IQs and group indices in the brain of healthy individuals.
Source: Frontiers in Human Neuroscience - June 3, 2020 Category: Neuroscience Source Type: research

Self-Efficacy Expectation | SpringerLink
https://link.springer.com/referenceworkentry/10.1007%2F978-3-319-24612-3_1166
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - June 2, 2020 Category: Neuroscience Source Type: blogs

Frontiers | Is It Possible to Improve Working Memory With Prefrontal tDCS? Bridging Currents to Working Memory Models | Psychology
https://www.frontiersin.org/articles/10.3389/fpsyg.2020.00939/full
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - June 2, 2020 Category: Neuroscience Source Type: blogs

The impact of cybervictimization on psychological adjustment in adolescence: analyzing the role of emotional intelligence - Est évez JF, Cañas E, Estévez E.
Cybervictimization has been associated with serious emotional adjustment problems such as low self-concept and depressive symptomatology. In addition, these problems can negatively affect the well-being of the victims, manifesting in their levels of satisf...
Source: SafetyLit - June 2, 2020 Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news

Coronavirus Tests Value of Artificial Intelligence in Medicine Coronavirus Tests Value of Artificial Intelligence in Medicine
The coronavirus crisis has prompted accelerated use of some promising AI applications.Kaiser Health News
Source: Medscape Pathology Headlines - June 2, 2020 Category: Pathology Tags: Infectious Diseases News Source Type: news

Consider the Promises and Challenges of Medical Image Analyses Using Machine Learning
Medical imaging saves millions of lives each year, helping doctors detect and diagnose a wide range of diseases, from cancer and appendicitis to stroke and heart disease. Because non-invasive early disease detection saves so many lives, scientific investment continues to increase. Artifical intelligence (AI) has the potential to revolutionize the medical imaging industry by sifting through mountains of scans quickly and offering providers and patients with life-changing insights into a variety of diseases, injuries, and conditions that may be hard to detect without the supplemental technology. Images are the largest source...
Source: MDDI - June 2, 2020 Category: Medical Devices Authors: Partha S. Anbil and Michael T. Ricci Tags: Imaging Source Type: news

The Importance of Being Right
When the Haunted Mansion ride at Tokyo Disneyland was essentially complete and getting ready to open, a cleaning crew was brought in to clean the ride. The Japanese custodians were very experienced and skilled, having expertly cleaned other rides at the park such as Space Mountain, so the Haunted Mansion seemed to be in good hands. And the crew did an excellent job – too excellent actually. They cleaned away the ride’s fake cobwebs, dust, and aging aspects that took a team of Disney artists three weeks to carefully apply. They brought that dusty old mansion up to the cleanliness standards of a modern office b...
Source: Steve Pavlina's Personal Development Blog - June 2, 2020 Category: Psychiatry & Psychology Authors: Steve Pavlina Tags: Emotions Values Source Type: blogs

Artificial intelligence within the interplay between natural and artificial Computation: advances in data science, trends and applications
Publication date: Available online 2 June 2020Source: NeurocomputingAuthor(s): Juan M. Górriz, Javier Ramírez, Andrés Ortíz, Francisco J. Martínez-Murcia, Fermin Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, Jose Ramón Álvarez-Sánchez, Guido Bologna, Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernández-Caballero, Eduardo Fernández-Jover, Pedro Gómez-Vilda
Source: Neurocomputing - June 2, 2020 Category: Neuroscience Source Type: research

The Digital Health Techs that are Here to Stay After COVID-19
There’s no doubt that the COVID-19 pandemic will come to an end. However, what will stay with us after this period is over is more than chaotic scenes, a fear of mingling with others or the need to wear a face mask. More specifically, some of the digital health technologies that we’ve been advocating for have proven to be indispensable in this crisis and we will appreciate their contribution better from now on.  Nowadays, checking interactive maps is as commonplace as checking the news; smartphone tracking is gaining popularity as an effective contact tracing method; and we dedicated a whole e-book to helpful d...
Source: The Medical Futurist - June 2, 2020 Category: Information Technology Authors: Prans Tags: 3D Printing Artificial Intelligence Portable Diagnostics Robotics Telemedicine & Smartphones AI robotics in healthcare covid19 Source Type: blogs

AI can handle quality assessment of 3D cardiac MRI
An artificial intelligence (AI) algorithm can automatically assess image quality...Read more on AuntMinnie.comRelated Reading: AI-based image reconstruction poses challenges AMVC 2020: What now for artificial intelligence? 3D fusion improves CT, MRI heart disease diagnosis AI predicts heart attack, stroke on cardiac MRI 3D printing helps unravel rare cardiac anomalies
Source: AuntMinnie.com Headlines - June 2, 2020 Category: Radiology Source Type: news

Making AI meaningful: How AI is being used to transform radiology practices - Sponsor Supplied
How is artificial intelligence (AI) being used to transform radiology practices?...Read more on AuntMinnie.com
Source: AuntMinnie.com Headlines - June 2, 2020 Category: Radiology Source Type: news

SFU, Providence Health Care develop AI tool for quicker COVID-19 diagnosis
(Simon Fraser University) Simon Fraser University researchers and Providence Health Care (PHC) are collaborating on a new artificial intelligence tool that will help diagnose COVID-19 quicker.
Source: EurekAlert! - Medicine and Health - June 2, 2020 Category: International Medicine & Public Health Source Type: news

Patient and Study Participant Rights to Privacy in Journal Publication
Personal health information is defined as identifiable data related to the past, present, or future health status of an individual. Personal health information has been considered protected health information, which is governed by ethical principles and laws to shield against intrusions into an individual ’s rights to privacy. However, rapid growth in the volume of electronic health records, access to other health information, and increasing use of personal health data by artificial intelligence, social media, technology, and other companies are threatening the traditional tenets of privacy protect ions for personal heal...
Source: JAMA - June 2, 2020 Category: General Medicine Source Type: research

Psychometric validation of a nutrition knowledge questionnaire among parents of 3 & #8211;6-Year-Old Asian Indian children in east Barddhaman district, West Bengal, India
Conclusions: The test comprises basic psychometric criteria of a valid and reliable 32-item knowledge questionnaire which further forms an instrument for measuring current scenario and interpreting changes associated with intervention work aiming improvement of dietary and nutrition knowledge-practice in the middle-to-low socioeconomic community.
Source: Indian Journal of Community Medicine - June 2, 2020 Category: International Medicine & Public Health Authors: Nilita Das Arnab Ghosh Source Type: research

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence.
This article provides clinical examples in which machine learning and artificial intelligence are already in use in health care and appear to deliver benefit. Three key bottlenecks toward increasing the pace of diffusion and adoption are methodological issues in evaluation of artificial intelligence-based interventions, reporting standards to enable assessment of model performance, and issues that need to be addressed for an institution to adopt these interventions. Methodological best practices will include external validation, ideally at a different site; use of proactive learning algorithms to correct for site-specific ...
Source: Annals of Internal Medicine - June 2, 2020 Category: Internal Medicine Authors: Bates DW, Auerbach A, Schulam P, Wright A, Saria S Tags: Ann Intern Med Source Type: research

Mo1632 IMPROVEMENT OF POLYP DETECTION USING ARTIFICIAL INTELLIGENCE WITH BLUE LASER IMAGING AND LINKED COLOR IMAGING
In this study, we compared the ability of AI and endoscopists on polyp detection by using short videos of colorectal tumors taken by BLI and LCI.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Satoshi Sugino, Naohisa Yoshida, Xin Zhu, Ken Inoue, Ritsu Yasuda, Ryohei Hirose, Osamu Dohi, Yoshito Itoh, Daiki Nemoto, Kazutomo Togashi, Hideki Ishikawa, Rafiz Abdul Rani, Yoshikazu Hayashi, Hironori Yamamoto Tags: Poster abstracts Source Type: research

Sa2046 WHICH REGION DOES ARTIFICIAL INTELLIGENCE LOOK AT TO PREDICT T1B COLORECTAL CANCER?: ANALYSIS BASED ON CLASS ACTIVATION MAPPING.
We have previously shown that the diagnostic performance of artificial intelligence (AI) for deep ( ≥1mm) submucosally invasive (T1b) colorectal cancer was relatively good after training with non-magnified plain endoscopic images (sensitivity 80%, specificity 87%). However, the “region of interest” (ROI) within the image that was responsible for the AI diagnosis is a black box. Recently, the class activation mapping (CAM) technique has been developed, enabling identification of the ROI within the image that AI utilized for the diagnosis.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Yuki Nakajima, Daiki Nemoto, Xin Zhu, Zhe Guo, Qin Li, Masato Aizawa, Kenichi Utano, Noriyuki Isohata, Shungo Endo, Goro Shibukawa, Shinichi Katsuki, Yuichi Sagara, Takahito Takezawa, Yoshikazu Hayashi, Hironori Yamamoto, David G. Hewett, Kazutomo Togashi Tags: Poster abstracts Source Type: research

Sa2042 ARTIFICIAL INTELLIGENCE COMBINED WITH LCI YIELDS IN HIGHEST ACCURACY AND DETECTION OF COLORECTAL POLYPS, INCLUDING SESSILE SERRATED LESIONS
Linked color imaging (LCI) has shown its effectiveness in multiple randomized controlled trials for enhanced colorectal polyp detection. Most recently, artificial intelligence (AI) with deep learning through convolutional neural networks has dramatically improved and is increasingly recognized as a promising new technique enhancing colorectal polyp detection.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Helmut Neumann, Visvakanth Sivanathan, Khan Fareed Rahman, Peter R. Galle Tags: Poster abstracts Source Type: research

Sa2027 EVALUATION OF A REAL-TIME ARTIFICIAL INTELLIGENCE SYSTEM USING A DEEP NEURAL NETWORK FOR POLYP DETECTION AND LOCALIZATION IN THE LOWER GASTROINTESTINAL TRACT
The detection of neoplastic lesions is an important benchmark quality criterion for quality assessment during colonoscopy. While it is well established that the adenoma detec-tion rate (ADR) is inversely associated with the incidence of colorectal cancer (CRC) and CRC-related mortality, detection rates vary considerably between endoscopists, unfortunately. The use of artificial intelligence (AI) may be an objective and operator-independent approach to increase the endoscopist ’s ADR and limit inter-operator variability.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Hannes Seibt, Albert Beyer, Michael H äfner, Christian Eggert, Harald Huber, Timo Rath Tags: Poster abstracts Source Type: research

Sa2023 USE OF ARTIFICIAL INTELLIGENCE TO PREVENT SEVERE PERFORATION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASM: A PROOF-OF-CONCEPT STUDY
Endoscopic submucosal dissection (ESD) has been catching considerable attention as a less invasive treatment for large colorectal neoplasms. However, it is not widely spread due to its high complication rate; perforation occurs in approximately 5%-20%, some of which require surgical intervention. To change this unfavorable situation, we developed an artificial intelligence (AI) system which can prevent overlooking perforation during ESD.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Taishi Okumura, Shinei Kudo, Takemasa Hayashi, Yuichi Mori, Masashi Misawa, Masahiro Abe, Yuta Sato, Shinichi Kataoka, Yuta Kouyama, Tatsuya Sakurai, Maeda Yasuharu, Yushi Ogawa, Katsuro Ichimasa, Hiroki Nakamura, Tomoyuki Ishigaki, Naoya Toyoshima, Noriy Tags: Poster abstracts Source Type: research

Sa1998 ARTIFICIAL INTELLIGENCE-ASSISTED REAL-TIME DETECTION REDUCES MISSED LESIONS DURING COLONOSCOPY: A RETROSPECTIVE AND PROSPECTIVE STUDY
Recent meta-analysis showed that up to 26% of adenoma could be missed during colonoscopy. We investigated whether the use of artificial intelligence (AI) assisted real-time detection could reduce missed colonic lesions during colonoscopy.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Thomas Ka-Luen Lui, Cynthia Hui, Vivien W. Tsui, Michael KS. Cheung, Kwan-Lung Michael Ko, Chung Kwong Yeung, Dominic Chi-chung Foo, S.Y. Wong, Wai Keung Leung Tags: Poster abstracts Source Type: research

1114 artificial intelligence, trained with a rough binary classification, can select significant images of capsule endoscopy.
Since the introduction of computer vision technology using Deep-learning, various acceptable results have been reported for the recognition of small bowel pathologies in capsule endoscopy. However, the results are limitedly dealt with lesions such as erosions, ulcers, and angioectasia, which are easy to apply machine learning technologies. We classified capsule endoscopy images into those with and without significant lesions, and studied whether artificial intelligence, which learned the images of binary classification, can correctly suggest images containing significant lesions.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Junseok Park, Youngbae Hwang, Yun Jeong Lim, Ji Hyung Nam, Dong Jun Oh, Hyun Joo Song, Ki Bae Kim, Su Hwan Kim, Min Kyu Jung Tags: Oral abstracts Source Type: research

Tu1481 DEVELOPMENT AND EVALUATION OF DOUBLE CHECK SUPPORT SYSTEM USING ARTIFICIAL INTELLIGENCE IN ENDOSCOPIC SCREENING FOR GASTRIC CANCER
In this study, we developed a double check support system using still image data by artificial intelligence (AI) for the purpose of preventing oversight of lesions, including early gastric cancer, and improving the quality of endoscopic images.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Hirotaka Oura, Tomoaki Matsumura, Tatsuya Kaneko, Mamoru Tokunaga, Yushi Imai, Tsubasa Oike, Yuya Yokoyama, Naoki Akizue, Yuki Ohta, Kenichiro Okimoto, Daisuke Maruoka, Makoto Arai, Mai Fujie, Kazuya Yamaguchi, Jun Kato, Naoya Kato Tags: Poster abstracts Source Type: research

Editorial. Machine learning and artificial intelligence applied to the diagnosis and management of Cushing disease.
PMID: 32480365 [PubMed - in process]
Source: Neurosurgical Focus - June 1, 2020 Category: Neurosurgery Authors: Laws ER, Catalino MP Tags: Neurosurg Focus Source Type: research

Mo1661 HISINVIA: A HYBRID SOLUTION FOR COLONIC POLYP HISTOLOGY PREDICTION IN WHITE LIGHT COLONOSCOPY IMAGES COMBINING ARTIFICIAL INTELLIGENCE AND CLINICAL INFORMATION
In-vivo histology prediction is the cornerstone to improve the cost-efficiency of colonoscopy procedures. Artificial Intelligence (AI), specifically via Deep learning (DL) systems, can help physicians during colonoscopy in this task. However, its efficiency has not yet reached the levels of performance necessary to be used in the exploration room. In order to improve that, we propose a hybrid approach (HISINVIA) that combines DL methods with polyps characteristics indicated by doctors.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Ana Garc ía-Rodríguez, Yael Tudela, Francisco Javier Sánchez, Henry Córdova, Rodrigo Garcés-Durán, Miriam Cuatrecasas, Maria Pellise, Sabela Carballal, Leticia Moreira, Liseth Rivero, Josep Llach, Jorge Bernal, Gloria Fernández-Esparrach Tags: Poster abstracts Source Type: research

501 development and evaluation of double check support system using artificial intelligence in endoscopic screening for gastric cancer
In this study, we developed a double check support system using still image data by artificial intelligence (AI) for the purpose of preventing oversight of lesions, including early gastric cancer, and improving the quality of endoscopic images.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Hirotaka Oura, Tomoaki Matsumura, Tatsuya Kaneko, Mamoru Tokunaga, Yushi Imai, Tsubasa Oike, Yuya Yokoyama, Naoki Akizue, Yuki Ohta, Kenichiro Okimoto, Daisuke Maruoka, Makoto Arai, Mai Fujie, Kazuya Yamaguchi, Jun Kato, Naoya Kato Tags: Oral abstracts Source Type: research

435 prediction of lymph node metastasis in t2 colorectal cancer based on artificial intelligence –proposal of an indication for future full-thickness endoscopic resection-
Although surgical colectomy with lymph node dissection is a standard strategy for T2 colorectal cancer (CRC), they actually present approximately 25% of lymph node metastasis (LNM)-positivity. Thus, the remaining 75% of LNM-negativity patients can have an option of receiving full-thickness endoscopic resection without lymph node dissection. The aim of this study is to investigate whether artificial intelligence (AI) can predict LNM-positivity of T2 CRCs.
Source: Gastrointestinal Endoscopy - June 1, 2020 Category: Gastroenterology Authors: Katsuro Ichimasa, Shinei Kudo, Villard Benjamin, Kenta Nakahara, Yuichi Mori, Masashi Misawa, Maeda Yasuharu, Naoya Toyoshima, Noriyuki Ogata, Toyoki Kudo, Takemasa Hayashi, Kunihiko Wakamura, Hideyuki Miyachi, Naruhiko Sawada, Hayato Itoh, Masahiro Oda, Tags: Oral abstracts Source Type: research

Breast Ultrasound Region of Interest Detection and Lesion Localisation
Publication date: Available online 29 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Moi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí, Erika Denton, Arne Juette, Reyer Zwiggelaar
Source: Artificial Intelligence in Medicine - May 31, 2020 Category: Bioinformatics Source Type: research

Are gifted students more emotionally intelligent than their non-gifted peers? A meta-analysis: High Ability Studies: Vol 0, No 0
ABSTRACTThis Meta-Analysis investigated the relationship between emotional intelligence (EI) and giftedness. The study focused on whether gifted learners possessed higher levels of EI when compared with their non-gifted peers. Furthermore, it sought to determine if gifted males and gifted females differed in their EI abilities. A search of published and unpublished studies in English and Arabic from 1990 to 2018 resulted in 21 studies that compared gifted with non-gifted students, and 11 studies that compared gifted males with gifted females in their EI ability. Using a random-effect model, the results showed that gifted s...
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - May 30, 2020 Category: Neuroscience Source Type: blogs

Hemodynamic latency is associated with reduced intelligence across the lifespan: an fMRI DCM study of aging, cerebrovascular integrity, and cognitive ability.
Abstract Changes in neurovascular coupling are associated with both Alzheimer's disease and vascular dementia in later life, but this may be confounded by cerebrovascular risk. We hypothesized that hemodynamic latency would be associated with reduced cognitive functioning across the lifespan, holding constant demographic and cerebrovascular risk. In 387 adults aged 18-85 (mean = 48.82), dynamic causal modeling was used to estimate the hemodynamic response function in the left and right V1 and V3-ventral regions of the visual cortex in response to a simple checkerboard block design stimulus with minimal cogniti...
Source: Brain Structure and Function - May 30, 2020 Category: Neuroscience Authors: Anderson AE, Diaz-Santos M, Frei S, Dang BH, Kaur P, Lyden P, Buxton R, Douglas PK, Bilder RM, Esfandiari M, Friston KJ, Nookala U, Bookheimer SY Tags: Brain Struct Funct Source Type: research

Data Reduction and Data Visualization for Automatic Diagnosis using Gene Expression and Clinical Data
Publication date: Available online 28 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi
Source: Artificial Intelligence in Medicine - May 29, 2020 Category: Bioinformatics Source Type: research

Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care
Machine learning is increasingly used to analyze information generated by electronic health record systems and other large public health datasets.1,2 It is a field of artificial intelligence that uses pattern recognition and computer modeling to uncover complex nonlinear relationships existing among independent and dependent variables. Machine learning can be thought of as the next level from logistic or linear regression analysis in the continuum of statistics.3 The techniques of machine learning are more suitable for analysis of complex medical problems than standard statistics as they can discover nonlinearities in the ...
Source: The Journal of Pediatrics - May 29, 2020 Category: Pediatrics Authors: Hannah Lonsdale, Ali Jalali, Luis Ahumada, Clyde Matava Tags: Supplement Source Type: research

Artificial Intelligence in Intracoronary Imaging
AbstractPurpose of ReviewThis paper investigates present uses and future potential of artificial intelligence (AI) applied to intracoronary imaging technologies.Recent FindingsAdvances in data analytics and digitized medical imaging have enabled clinical application of AI to improve patient outcomes and reduce costs through better diagnosis and enhanced workflow. Applications of AI to IVUS and IVOCT have produced improvements in image segmentation, plaque analysis, and stent evaluation. Machine learning algorithms are able to predict future coronary events through the use of imaging results, clinical evaluations, laborator...
Source: Current Cardiology Reports - May 29, 2020 Category: Cardiology Source Type: research

Empathy in Medicine Self and Other in Medical Education: Initial Emotional Intelligence Trend Analysis Widens the Lens Around Empathy and Burnout.
Conclusion: This study's findings support further investigation of potential roles played by EI, empathy, and self-regard in physician burnout. PMID: 32451538 [PubMed - in process]
Source: Journal of the American Osteopathic Association - May 28, 2020 Category: Complementary Medicine Tags: J Am Osteopath Assoc Source Type: research

On stethoscopes, patient records, artificial intelligence and zettabytes: a glimpse into the future of digital medicine in Mexico.
Abstract Science and technology are modifying medicine at a dizzying pace. Although access in our country to the benefits of innovations in the area of devices, data storage and artificial intelligence is still very restricted, the advance of digital medicine offers the opportunity to solve some of the biggest problems faced by medical practice and public health in Mexico. The potential areas where digital medicine can be disruptive are: accessibility to quality medical care, centralization of specialties in large cities, dehumanization of medical treatment, lack of resources to access evidence-supported treatment...
Source: Archivos de Cardiologia de Mexico - May 28, 2020 Category: Cardiology Authors: Araiza-Garaygordobil D, Jordán-Ríos A, Sierra-Fernández C, Juárez-Orozco LE Tags: Arch Cardiol Mex Source Type: research