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A Multicentric Validation Study on the Accuracy of Artificial Intelligence Assisted System in Clinical Application of Digestive Endoscopy
Conditions:   Gastrointestinal Disease;   Endoscopy;   Artificial Intelligence Intervention:   Diagnostic Test: Endoscopists refer to AI for diagnosis Sponsor:   Renmin Hospital of Wuhan University Not yet recruiting
Source: ClinicalTrials.gov - January 16, 2020 Category: Research Source Type: clinical trials

The Top 12 Health Chatbots
Meet Molly, Ginger and Replika – some of your new chatbot friends aiming to make your life better. In the last years, smart algorithm-powered, text or voice-based interfaces have multiplied, and they are also taking their place in healthcare. The Medical Futurist believes they will ease the burden on doctors in primary care and help patients learn to take care of their health responsibly. Do you want to try one? Check out the following health chatbots! The age of talking algorithms is here In 2018, Google stunned the world with the latest feature of the Google Assistant, Duplex, which was able to make an appointment...
Source: The Medical Futurist - January 16, 2020 Category: Information Technology Authors: berci.mesko Tags: Artificial Intelligence Future of Medicine Healthcare Design AI chatbot digital health Innovation List medical Personalized medicine technology chatbots health chatbot Source Type: blogs

Artificial Intelligence in Medical Education
I read the article by Noorbakhsh-Sabet et al,1 which focuses on the applications of artificial intelligence (AI) in medicine with great interest. In the article, the authors focused mainly on the clinical applications, translation, and public health relevance of machine learning. In this article, I will mention the application of AI in medical education, as this is critical for the future development of medicine and health care. AI techniques can be implemented at 3 levels of medical education: curriculum development and analysis, learning, and assessment.
Source: The American Journal of Medicine - January 16, 2020 Category: General Medicine Authors: Tushar Garg, Tags: Letter Source Type: research

January Alzheimer's & Dementia highlights: Sleep, race/ethnicity, artificial intelligence
(Alzheimer's Association) Phase 3 drug trial results on improving sleep for persons living with Alzheimer's disease. The US Hispanic/Latino population is predicted to have the largest increase in Alzheimer's and all dementia by mid-century. Artificial intelligence may help with early detection of dementia.
Source: EurekAlert! - Medicine and Health - January 16, 2020 Category: International Medicine & Public Health Source Type: news

DeepMalaria: Artificial Intelligence Driven Discovery of Potent Antiplasmodials
Antimalarial drugs are becoming less effective due to the emergence of drug resistance. Resistance has been reported for all available malaria drugs, including artemisinin, thus creating a perpetual need for alternative drug candidates. The traditional drug discovery approach of high throughput screening (HTS) of large compound libraries for identification of new drug leads is time-consuming and resource intensive. While virtual in silico screening is a solution to this problem, however, the generalization of the models is not ideal. Artificial intelligence (AI), utilizing either structure-based or ligand-based approaches,...
Source: Frontiers in Pharmacology - January 15, 2020 Category: Drugs & Pharmacology Source Type: research

Artificial Intelligence in Anesthesiology Current Techniques, Clinical Applications, and Limitations
Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial intelligence in anesthesiology: (1) depth of anesthesia monitoring, (2) control of anesthesia, (3) event and risk prediction, (4) ultrasound guidance, (5) pain management, and (6) operating room logistics. Based on papers identified in the review, several topics within artificial intelligence were described and summarized: (1) machine learning (including supervised, unsupervised, and reinfo...
Source: Anesthesiology - January 14, 2020 Category: Anesthesiology Source Type: research

Childhood in the Age of Artificial Intelligence
The potential for artificial intelligence (AI) to benefit our kids is real. For many of us, it's already integrated into our children's daily routines.
Source: WebMD Health - January 14, 2020 Category: Consumer Health News Source Type: news

Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)
Publication date: Available online 13 January 2020Source: Artificial Intelligence in MedicineAuthor(s): Elisa Ferrari, Alessandra Retico, Davide BacciuAbstractOver the years, there has been growing interest in using Machine Learning techniques for biomedical data processing. When tackling these tasks, one needs to bear in mind that biomedical data depends on a variety of characteristics, such as demographic aspects (age, gender, etc) or the acquisition technology, which might be unrelated with the target of the analysis. In supervised tasks, failing to match the ground truth targets with respect to such characteristics, ca...
Source: Artificial Intelligence in Medicine - January 14, 2020 Category: Bioinformatics Source Type: research

This Personality Trait Is Related To Superior IQ (M)
Higher intelligence drives ‘cognitive hunger’. → 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 - January 14, 2020 Category: Psychiatry & Psychology Authors: Jeremy Dean Tags: Intelligence Personality subscribers-only Source Type: blogs

ADHD classification by dual subspace learning using resting-state functional connectivity
Publication date: Available online 13 January 2020Source: Artificial Intelligence in MedicineAuthor(s): Ying Chen, Yibin Tang, Chun Wang, Xiaofeng Liu, Li Zhao, Zhishun WangAbstractAs one of the most common neurobehavioral diseases in school-age children, Attention Deficit Hyperactivity Disorder (ADHD) has been increasingly studied in recent years. But it is still a challenge problem to accurately identify ADHD patients from healthy persons. To address this issue, we propose a dual subspace classification algorithm by using individual resting-state Functional Connectivity (FC). In detail, two subspaces respectively contain...
Source: Artificial Intelligence in Medicine - January 14, 2020 Category: Bioinformatics Source Type: research

SMEs internationalization: The role of product innovation, market intelligence, pricing and marketing communication capabilities as drivers of SMEs’ international performance
Publication date: March 2020Source: Technological Forecasting and Social Change, Volume 152Author(s): Mohammad Falahat, T. Ramayah, Pedro Soto-Acosta, Yan-Yin LeeAbstractSmall and medium enterprise (SME) competitive advantage has been recognized as an important topic for researchers dealing with SME internationalization. Previous studies have long discussed the role of firm competitive advantage as a determinant of international performance, but there are few studies analyzing the determinants of firm competitive advantage and its potential mediating role in the relationship between organizational capabilities and SMEs' in...
Source: Technological Forecasting and Social Change - January 14, 2020 Category: Science Source Type: research

Artificial Intelligence (AI) can Detect Low-Glucose Levels via ECG without Fingerpick Test
A new technology for detecting low glucose levels via ECG using a non-invasive wearable sensor, which with the latest Artificial Intelligence can detect hypoglycaemic events from raw ECG signals has been made by researchers from the University of Warwick.
Source: eHealth News EU - January 13, 2020 Category: Information Technology Tags: Featured Research Research and Development Source Type: news

Artificial intelligence, human gene-editing ethics and more at the AAAS Annual Meeting in Seattle
(American Association for the Advancement of Science) The growing use of artificial intelligence in society, how math can help address political gerrymandering, the ethics of human gene-editing, and the spread of infectious disease among ocean organisms will be discussed at the 2020 American Association for the Advancement of Science (AAAS) Annual Meeting, the world's largest general scientific conference.
Source: EurekAlert! - Infectious and Emerging Diseases - January 13, 2020 Category: Infectious Diseases Source Type: news

Seven Pillars of Precision Digital Health and Medicine
Publication date: Available online 11 January 2020Source: Artificial Intelligence in MedicineAuthor(s): Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge
Source: Artificial Intelligence in Medicine - January 13, 2020 Category: Bioinformatics Source Type: research

Diagnostic value of artificial intelligence in early-stage lung cancer.
PMID: 31934937 [PubMed - as supplied by publisher]
Source: Chinese Medical Journal - January 13, 2020 Category: General Medicine Authors: Zhao L, Bai CX, Zhu Y Tags: Chin Med J (Engl) Source Type: research

No glove, no love: General intelligence predicts increased likelihood of condom use in response to HIV threat
Publication date: 15 April 2020Source: Personality and Individual Differences, Volume 157Author(s): Sean T.H. Lee, Norman P. Li, Andrea L. Meltzer, Nadhilla V. Melia, Hui Si OhAbstractHeterosexual intercourse serves the evolutionarily adaptive function of reproduction and gene propagation. However, engaging in sexual intercourse also entails risks in contracting Sexually Transmitted Infections (STIs) that bring about pain and health complications. While STIs typically do not pose a direct threat to one's life, the Human Immunodeficiency Virus (HIV), a relatively recent emergent STI, does. Also, unlike other existing STIs s...
Source: Personality and Individual Differences - January 12, 2020 Category: Psychiatry & Psychology Source Type: research

Intelligence quotient (IQ) among children with epilepsy: National epidemiological study – Sudan
ConclusionsMost of children with epilepsy had an average FSIQ; uncontrolled seizure had worse effect on overall FSIQ and memory. Interventions to support children with epilepsy should focus on epilepsy management and school psychosocial domains.
Source: Epilepsy and Behavior - January 12, 2020 Category: Neurology Source Type: research

Intelligence quotient (IQ) among children with epilepsy: National epidemiological study - Sudan.
CONCLUSIONS: Most of children with epilepsy had an average FSIQ; uncontrolled seizure had worse effect on overall FSIQ and memory. Interventions to support children with epilepsy should focus on epilepsy management and school psychosocial domains. PMID: 31937511 [PubMed - as supplied by publisher]
Source: Epilepsy and Behaviour - January 11, 2020 Category: Neurology Authors: Mohamed IN, Osman AH, Mohamed S, Hamid EK, Hamed AA, Alsir A, Gerais YA, Bakhiet AM, Elsadig SM, Elseed MA Tags: Epilepsy Behav Source Type: research

Ontology: Footstone for Strong Artificial Intelligence
Publication date: December 2019Source: Chinese Medical Sciences Journal, Volume 34, Issue 4Author(s): Xiaolin Yang, Zhe Wang, Hongjie Pan, Yan ZhuAbstractIn the past ten years, the application of artificial intelligence (AI) in biomedicine has increased rapidly, which roots in the rapid growth of biomedicine data, the improvement of computing performance, and the development of deep learning methods. At present, there are great difficulties in front of AI for solving complex and comprehensive medical problems. Ontology can play an important role in how to make machines have stronger intelligence and has wider applications ...
Source: Chinese Medical Sciences Journal - January 10, 2020 Category: General Medicine Source Type: research

12 quick brain puzzles to welcome a sharp new year
___ Q: What is by far the most outstanding and surprising of all humankind’s successes? A: Waking up in the morning. Q: Of our many tools, which is one of the most powerful, and yet the most pliable? A: Statistics. Q: Who insists that mindless obedience is a sign of intelligence? A: All of us — when referring to our pets. Q: What is the root of all evil — Money? Satan? Greed? Fear? A: More than all the above put together: Expectations. Q: Why are mistakes so tiring? A: Because justifying them takes so much effort. Q: The difference between an idealist and a realist? A: The idealist takes most of what he says extremel...
Source: SharpBrains - January 10, 2020 Category: Neuroscience Authors: Keith Perreur-Lloyd Tags: Brain Teasers Education & Lifelong Learning brain games for adults brain puzzles for adults brain teasers for adults brain teasers for teens brain-teaser-games cognitive-abilities cognitive-ability intelligence puzzle games for adults Source Type: blogs

Comprenhensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines
ConclusionsThe proposed framework of criteria may help clinical institutions to select the most suitable rule technology for the representation of CGs in general, and for the antibiotic prescription domain in particular, depicting the main aspects that lead to Computer Interpretable Guidelines (CIGs), such as Logic expressivity (Open/Closed World Assumption, Negation-As-Failure), Temporal Reasoning and Interoperability with existing HIS and clinical workflow. Future work will focus on providing clinicians with suggestions regarding new potential steps for CGs, considering process mining approaches and CGs Process Workflows...
Source: Artificial Intelligence in Medicine - January 10, 2020 Category: Bioinformatics Source Type: research

Artificial intelligence project chosen for national healthcare competition - with $1 million on the line
(University of Virginia Health System) A UVA Health proposal to reduce hospital readmissions was among 25 submissions chosen -- from more than 300 applications -- for a national competition seeking ideas on how artificial intelligence can improve healthcare.
Source: EurekAlert! - Medicine and Health - January 10, 2020 Category: International Medicine & Public Health Source Type: news

Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett ’s esophagus (with video)
The visual detection of early esophageal neoplasia (high-grade dysplasia and T1 cancer) in Barrett ’s esophagus (BE) with white-light and virtual chromoendoscopy still remains challenging. The aim of this study was to assess whether a convolutional neural artificial intelligence network can aid in the recognition of early esophageal neoplasia in BE.
Source: Gastrointestinal Endoscopy - January 10, 2020 Category: Gastroenterology Authors: Rintaro Hashimoto, James Requa, Dao Tyler, Andrew Ninh, Elise Tran, Daniel Mai, Michael Lugo, Nabil El-Hage Chehade, Kenneth J. Chang, Williams E. Karnes, Jason Samarasena Source Type: research

Good News: Artificial Intelligence in Psychiatry Is Actually Neither.
Authors: Simon GE, Yarborough BJ PMID: 31910752 [PubMed - as supplied by publisher]
Source: Psychiatric Services - January 9, 2020 Category: Psychiatry Tags: Psychiatr Serv Source Type: research

Bayer and Exscientia collaborate to leverage the potential of artificial intelligence in cardiovascular and oncology drug discovery
Bayer and Exscientia Ltd., a UK-based Artificial Intelligence (AI)-driven drug discovery company, have entered into a three-year, multi-target collaboration. The partners will work on early research projects combining Exscientia's proprietary AI drug discovery platform and drug design know-how with Bayer's data and drug discovery capabilities.
Source: World Pharma News - January 9, 2020 Category: Pharmaceuticals Tags: Featured Bayer Business and Industry Source Type: news

Bayer and Exscientia Collaborate to Leverage the Potential of Artificial Intelligence in Cardiovascular and Oncology Drug Discovery
Bayer and Exscientia Ltd., a UK-based Artificial Intelligence (AI)-driven drug discovery company, have entered into a three-year, multi-target collaboration. The partners will work on early research projects combining Exscientia's proprietary AI drug discovery platform and drug design know-how with Bayer's data and drug discovery capabilities.
Source: eHealth News EU - January 9, 2020 Category: Information Technology Tags: Featured Industry Business and Industry Source Type: news

Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France
Artificial intelligence (AI), with its seemingly limitless power, holds the promise to truly revolutionize patient healthcare. However, the discourse carried out in public does not always correlate with the ac...
Source: Journal of Translational Medicine - January 9, 2020 Category: Research Authors: M.-C. La ï, M. Brian and M.-F. Mamzer Tags: Research Source Type: research

Application of artificial intelligence in thoracic surgery.
CONCLUSION: At the present time promising study results are available but the implementation into the surgical routine has so far been very difficult. PMID: 31919545 [PubMed - as supplied by publisher]
Source: Der Chirurg - January 9, 2020 Category: Surgery Authors: Herrmann D, Oggiano M, Hecker E Tags: Chirurg Source Type: research

Artificial intelligence in orthopedics and trauma surgery.
This article focuses on the field of AI in the context of orthopedics and trauma surgery. The main focus is on the potentials of AI in the analysis of symptoms, radiological images, clinical data sets, use in hospitals and operating theaters as well as for training and education. For the orthopedics and trauma surgery of the future AI is much more than pure fiction; however, there is still a long way to go before the potential of an optimized and individualized patient care can be utilized. Interdisciplinary and international approaches, including personnel, economic, legal and ethical aspects will play a decisive role in...
Source: Der Chirurg - January 9, 2020 Category: Surgery Authors: Tjardes T, Heller RA, Pförringer D, Lohmann R, Back DA, AG Digitalisierung der DGOU Tags: Chirurg Source Type: research

Neutron strain scanning for experimental validation of the artificial intelligence based eigenstrain contour method
In this study, long- and short-transverse components of the residual strains determined by the AI-eig contour method applied to EDM-cut surfaces of the parts of as-welded and heat-treated specimens were validated using the neutron strain scanning method. The results demonstrate the effectiveness of the integrative modelling approach that enables the determination of eigenstrains in the whole specimen and the calculation of residual strains before and after the machining process.
Source: Mechanics of Materials - January 8, 2020 Category: Materials Science Source Type: research

Optimisation and control of the supply of blood bags in hemotherapic centres via Markov Decision Process with discounted arrival rate
Publication date: Available online 8 January 2020Source: Artificial Intelligence in MedicineAuthor(s): Henrique L.F. Soares, Edilson F. Arruda, Laura Bahiense, Daniel Gartner, Luiz Amorim FilhoAbstractRunning a cost-effective human blood transfusion supply chain challenges decision makers in blood services world-wide. In this paper, we develop a Markov decision process with the objective of minimising the overall costs of internal and external collections, storing, producing and disposing of blood bags, whilst explicitly considering the probability that a donated blog bag will perish before demanded. The model finds an opt...
Source: Artificial Intelligence in Medicine - January 8, 2020 Category: Bioinformatics Source Type: research

An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Publication date: Available online 8 January 2020Source: Artificial Intelligence in MedicineAuthor(s): Qinhua Hu, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S.A. Alves, Francisco Hércules dos S. Silva, Tao Han, Pedro P. Rebouças FilhoAbstractComputer vision systems have numerous tools to assist in various medical fields, notably in image diagnosis. Computed tomography (CT) is the principal imaging method used to assist in the diagnosis of diseases such as bone fractures, lung cancer, heart disease, and emphysema, among others. Lung cancer is one of the four main causes of death in the world. The lung re...
Source: Artificial Intelligence in Medicine - January 8, 2020 Category: Bioinformatics Source Type: research

An Intelligent Future for Medical Imaging: A Market Outlook on Artificial Intelligence for Medical Imaging
Publication date: January 2020Source: Journal of the American College of Radiology, Volume 17, Issue 1, Part BAuthor(s): Alan Alexander, Adam Jiang, Cara Ferreira, Delphine ZurkiyaAbstractRadiologists today are under increasing work pressure. We surveyed radiologists in the United States across practice settings, and the overwhelming majority reported an increased workload. Artificial intelligence (AI), which includes machine learning, can help address these issues. It also has the potential to improve clinical outcomes and raise further the value of medical imaging in ways yet to be defined. In this article, we report on ...
Source: Journal of the American College of Radiology - January 7, 2020 Category: Radiology Source Type: research

Gait characteristics and clinical relevance of hereditary spinocerebellar ataxia on deep learning
ConclusionSCA gait parameters were characterized by a reduced stride length, slower walking velocity, and longer supporting phase. Additionally, a smaller cerebellar volume correlated with an increased irregularity in gait. Gait characteristics exhibited considerable clinical relevance to hereditary SCA. We conclude that a combination of gait parameters, ataxia scales, and MRVD may represent more objective markers for clinical evaluations of SCA.
Source: Artificial Intelligence in Medicine - January 7, 2020 Category: Bioinformatics Source Type: research

New imaging system and artificial intelligence algorithm accurately identify brain tumors
(NYU Langone Health / NYU School of Medicine) Study finds novel method of optical imaging combined with artificial intelligence accurately diagnoses brain tumors in real time.
Source: EurekAlert! - Medicine and Health - January 6, 2020 Category: International Medicine & Public Health Source Type: news

Deconstructing the diagnostic reasoning of human versus artificial intelligence.
Authors: PMID: 31907234 [PubMed - in process]
Source: cmaj - January 6, 2020 Category: General Medicine Tags: CMAJ Source Type: research

Artificial intelligence in gastrointestinal endoscopy: general overview.
In conclusion, the introduction of AI will be a big breakthrough in the field of GI endoscopy in the upcoming years. It has the potential to bring major improvements to GI endoscopy at all levels. PMID: 31929362 [PubMed - as supplied by publisher]
Source: Chinese Medical Journal - January 6, 2020 Category: General Medicine Authors: El Hajjar A, Rey JF Tags: Chin Med J (Engl) Source Type: research

Artificial intelligence in pediatrics.
PMID: 31929357 [PubMed - as supplied by publisher]
Source: Chinese Medical Journal - January 6, 2020 Category: General Medicine Authors: Li YW, Liu F, Zhang TN, Xu F, Gao YC, Wu T Tags: Chin Med J (Engl) Source Type: research

Artificial intelligence: Guidelines for internists.
Authors: Gratzer K, Servy H, Chiche L Abstract Following the emergence of open public databases and connected objects, big data and artificial intelligence are developing rapidly, especially in medicine, with many opportunities ranging from complex diagnostic assistance to real-time statistical analysis. In order to promote their development and guide their use in the field of internal medicine, guidelines and recommendations are needed. First of all, this article seeks to clarify the concepts of big data and artificial intelligence and the correlations between each other, and then to give an overview of the progre...
Source: Revue de Medecine Interne - January 5, 2020 Category: Internal Medicine Tags: Rev Med Interne Source Type: research

The impact of perceived social support on students’ pathological Internet use: The mediating effect of perceived personal discrimination and moderating effect of emotional intelligence
Publication date: Available online 3 January 2020Source: Computers in Human BehaviorAuthor(s): Shutao Wang, Demei ZhangABSTRACTThe aim of this study is to investigate how perceived personal discrimination and emotional intelligence affect the relationship between perceived social support and pathological Internet use of students in China. Data were collected from 560 students from primary and secondary schools in mainland China. Results showed that perceived social support could be a predictor of students’ perceived personal discrimination, and perceived personal discrimination could have a significant impact on students...
Source: Computers in Human Behavior - January 4, 2020 Category: Information Technology Source Type: research

An Improved Multi-swarm Particle Swarm Optimizer for Optimizing the Electric Field Distribution of Multichannel Transcranial Magnetic Stimulation
Publication date: Available online 3 January 2020Source: Artificial Intelligence in MedicineAuthor(s): Hui Xiong, Bowen Qiu, Jinzhen LiuAbstractMultichannel transcranial magnetic stimulation (mTMS) is a therapeutic method to improve psychiatric diseases, which has a flexible working pattern used to different applications. In order to make the electric field distribution in the brain meet the treatment expectations, we have developed a novel multi-swam particle swarm optimizer (NMSPSO) to optimize the current configuration of double layer coil array. To balance the exploration and exploitation abilities, three novel improve...
Source: Artificial Intelligence in Medicine - January 4, 2020 Category: Bioinformatics Source Type: research

Decision-Making in Artificial Intelligence: Is It Always Correct?
PMID: 31898430 [PubMed - in process]
Source: J Korean Med Sci - January 4, 2020 Category: General Medicine Authors: Kim HS Tags: J Korean Med Sci Source Type: research

Leveraging Artificial Intelligence for Disaster Prediction, Resilience, and Recovery
RAND will host a conference on the role of artificial intelligence in natural disaster prediction, resiliency enhancement, and recovery efforts. U.S. and Japanese experts will offer insights drawn from numerous instances of disasters. [New Orleans, LA]
Source: RAND Events - January 3, 2020 Category: Health Management Authors: RAND Corporation Source Type: events

A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence
Conditions:   Colonic Diseases;   Artificial Intelligence Intervention:   Diagnostic Test: Endoscopists refer to AI for diagnosis Sponsor:   Renmin Hospital of Wuhan University Recruiting
Source: ClinicalTrials.gov - January 3, 2020 Category: Research Source Type: clinical trials