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America's intelligence agencies are conducting "information warfare" against its own people
(Natural News) The United States’ own intelligence agencies are now using “information warfare” against the American people. The warning comes from John Solomon, editor in chief of Just in the News and author of the book “Fallout: Nuclear Bribes, Russian Spies, and the Washington Lies that Enriched the Clinton and Biden Dynasties.” Solomon made the accusations on Tuesday’s...
Source: NaturalNews.com - July 30, 2020 Category: Consumer Health News Source Type: news

Machine-learning algorithms for predicting results in liver transplantation: the problem of donor–recipient matching
Purpose of review Classifiers based on artificial intelligence can be useful to solve decision problems related to the inclusion or removal of possible liver transplant candidates, and assisting in the heterogeneous field of donor–recipient (D-R) matching. Recent findings Artificial intelligence models can show a great advantage by being able to handle a multitude of variables, be objective and help in cases of similar probabilities. In the field of liver transplantation, the most commonly used classifiers have been artificial neural networks (ANNs) and random forest classifiers. ANNs are excellent tools for finding...
Source: Current Opinion in Organ Transplantation - July 30, 2020 Category: Surgery Tags: ARTIFICIAL INTELLIGENCE IN TRANSPLANTATION: Edited by Javier Briceño Source Type: research

Artificial intelligence in transplantation (machine-learning classifiers and transplant oncology)
Purpose of review To highlight recent efforts in the development and implementation of machine learning in transplant oncology – a field that uses liver transplantation for the treatment of hepatobiliary malignancies – and particularly in hepatocellular carcinoma, the most commonly treated diagnosis in transplant oncology. Recent findings The development of machine learning has occurred within three domains related to hepatocellular carcinoma: identification of key clinicopathological variables, genomics, and image processing. Summary Machine-learning classifiers can be effectively applied for more accurate cli...
Source: Current Opinion in Organ Transplantation - July 30, 2020 Category: Surgery Tags: ARTIFICIAL INTELLIGENCE IN TRANSPLANTATION: Edited by Javier Briceño Source Type: research

Artificial neural network and bioavailability of the immunosuppression drug
Purpose of review The success of organ transplant is determined by number of demographic, clinical, immunological and genetic variables. Artificial intelligence tools, such as artificial neural networks (ANNs) or classification and regression trees (CART) can handle multiple independent variables and predict the dependent variables by deducing the complex nonlinear relationships between variables. Recent findings In the last two decades, several researchers employed these tools to identify donor-recipient matching pairs, to optimize immunosuppressant doses, to predict allograft survival and to minimize adverse drug re...
Source: Current Opinion in Organ Transplantation - July 30, 2020 Category: Surgery Tags: ARTIFICIAL INTELLIGENCE IN TRANSPLANTATION: Edited by Javier Briceño Source Type: research

Prediagnostic Image Data, Artificial Intelligence, and Pancreatic Cancer: A Tell-Tale Sign to Early Detection
Pancreatic cancer continues to be one of the deadliest malignancies and is the third leading cause of cancer-related mortality in the United States. Based on several models, it is projected to become the second leading cause of cancer-related deaths by 2030. Although the overall survival rate for patients diagnosed with pancreatic cancer is less than 10%, survival rates are increasing in those whose cancers are detected at an early stage, when intervention is possible. There are, however, no reliable biomarkers or imaging technology that can detect early-stage pancreatic cancer or accurately identify precursors that are li...
Source: Pancreas - July 30, 2020 Category: Gastroenterology Tags: Conference Report Source Type: research

The Role of Artificial Intelligence in Echocardiography
AbstractPurpose of ReviewEchocardiography is an indispensable tool in diagnostic cardiology and is fundamental to clinical care. Significant advances in cardiovascular imaging technology paralleled by rapid growth in electronic medical records, miniaturized devices, real-time monitoring, and wearable devices using body sensor network technology have led to the development of complex data.Recent FindingsThe intricate nature of these data can be overwhelming and exceed the capabilities of current statistical software. Machine learning (ML), a branch of artificial intelligence (AI), can help health care providers navigate thr...
Source: Current Cardiology Reports - July 30, 2020 Category: Cardiology Source Type: research

Role of artificial intelligence in assessing the extent and progression of dermatoses.
CONCLUSIONS: The latest developments in this field show the enormous potential of AI-based diagnostics and follow-up of dermatological clinical pictures by means of an autonomous computer-based image analysis. These noninvasive, optical examination methods provide valuable additional information, but dermatological interaction remains indispensable in daily clinical practice. PMID: 32710130 [PubMed - as supplied by publisher]
Source: Der Hautarzt: Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete - July 29, 2020 Category: Dermatology Tags: Hautarzt Source Type: research

Body mass index in young adulthood and risk of subsequent dementia at different levels of intelligence and education in Danish men
We examined the association between body mass index (BMI) at entry to adult life and subsequent risk of dementia in men and assessed whether the relationship differed by levels of intelligence and education. The study population consisted of 377,598 Danish men born 1939 –1959 with measures of height, weight, intelligence test score (ITS), and educational level (EL) at conscript board examinations around the age of 19 years. Dementia outcomes were obtained from National Patient and Prescription Registries between 1969 and 2016. The association between BMI and dem entia was analysed using Cox proportional hazard regressio...
Source: European Journal of Epidemiology - July 29, 2020 Category: Epidemiology Source Type: research

Artificial intelligence in radiotherapy: a technological review
AbstractRadiation therapy (RT) is widely used to treat cancer. Technological advances in RT have occurred in the past 30 years. These advances, such as three-dimensional image guidance, intensity modulation, and robotics, created challenges and opportunities for the next breakthrough, in which artificial intelligence (AI) will possibly play important roles. AI will replace certain repetitive and labor-intensive tasks and improve the accuracy and consistency of others, particularly those with increased complexity because of technological advances. The improvement in efficiency and consistency is important to manage the incr...
Source: Frontiers of Medicine - July 29, 2020 Category: General Medicine Source Type: research

Summoning a New Artificial Intelligence Patent Model: In the Age of Pandemic
Shlomit Yanisky-Ravid (Yale Law School), Regina Jin, Summoning a New Artificial Intelligence Patent Model: In the Age of Pandemic, SSRN: To combat the fast-moving spread of the pandemic we need an equally speedy and powerful tool. On the forefront against...
Source: HealthLawProf Blog - July 29, 2020 Category: Medical Law Authors: Katharine Van Tassel Source Type: blogs

Morphogo: An Automatic Bone Marrow Cell Classification System on Digital Images Analyzed by Artificial Intelligence
Conclusion: This pilot study confirmed that theMorphogo system is a reliable tool for automatic bone marrow cell differential count analysis and has potential for clinical applications. Current ongoing large-scale multicenter validation studies will provide more information to further confirm the clinical utility of the system.Acta Cytologica
Source: Acta Cytologica - July 28, 2020 Category: Cytology Source Type: research

Artificial intelligence: a disruptive tool for a smarter medicine.
CONCLUSIONS: This colossal common effort based on a new collective intelligence will exponentially improve the quality of medical research, resulting in a radical change for the better in the healthcare model. AI, without replacing us, is here to help us achieve the ambitious goal set by the WHO in the Alma Ata declaration of 1978: "Health for All". PMID: 32706086 [PubMed - in process]
Source: European Review for Medical and Pharmacological Sciences - July 28, 2020 Category: Drugs & Pharmacology Tags: Eur Rev Med Pharmacol Sci Source Type: research

Artificial intelligence could speed up and improve Alzheimer's diagnosis
(University of Sheffield) Research from the University of Sheffield's Neuroscience Institute examines how the routine use of Artificial Intelligence (AI) in healthcare could help to relieve the economic impact neurodegenerative diseases, such as Alzheimer's, put on the NHS
Source: EurekAlert! - Social and Behavioral Science - July 28, 2020 Category: International Medicine & Public Health Source Type: news

Development and Validation of an Artificial Intelligence System for Bowel Preparation Quality Scoring
Condition:   Artificial Intelligence Intervention:   Device: AI Sponsor:   National Cancer Center, Korea Not yet recruiting
Source: ClinicalTrials.gov - July 27, 2020 Category: Research Source Type: clinical trials

Artificial intelligence finds patterns of mutations and survival in tumour images
(European Molecular Biology Laboratory - European Bioinformatics Institute) Scientists have used artificial intelligence to search for patterns of molecular abnormalities in tumour tissue sections across 28 cancer types. They analysed more than 17 000 tumour microscopy images and found that the appearance of tumour cells and tissues offers insights into the underlying genetic causes. The research could help scientists develop diagnostic tools for when molecular tests are unavailable, and refine patient risk prediction
Source: EurekAlert! - Cancer - July 27, 2020 Category: Cancer & Oncology Source Type: news

Artificial intelligence identifies prostate cancer with near-perfect accuracy
(University of Pittsburgh) Study reports 98% sensitivity and 97% specificity in recognizing and characterizing prostate cancer using an artificial intelligence (AI) program.
Source: EurekAlert! - Cancer - July 27, 2020 Category: Cancer & Oncology Source Type: news

Artificial intelligence in gastric cancer: a systematic review
ConclusionsIn the foreseeable future, AI applications can play an important role in gastric cancer management in the era of precision medicine.
Source: Journal of Cancer Research and Clinical Oncology - July 26, 2020 Category: Cancer & Oncology Source Type: research

Coarse-to-fine Classification for Diabetic Retinopathy Grading Using Convolutional Neural Network
Publication date: Available online 24 July 2020Source: Artificial Intelligence in MedicineAuthor(s): Zhan Wu, Gonglei Shi, Yang Chen, Fei Shi, Xinjian Chen, Shuo Li, Gouenou Coatrieux, Jian Yang, Limin Luo
Source: Artificial Intelligence in Medicine - July 26, 2020 Category: Bioinformatics Source Type: research

IJERPH, Vol. 17, Pages 5373: In Pursuit of Work Performance: Testing the Contribution of Emotional Intelligence and Burnout
This study aimed to examine the mediator role of burnout in the relationship between EI and work performance in a multioccupational sample of 1197 Spanish professionals (58.6% women). The participants completed the Wong and Law Emotional Intelligence Scale, the Maslach Burnout Inventory, and the Individual Work Performance Questionnaire. As expected, the results demonstrated a positive relationship between EI and performance, and a negative relationship with burnout, which has a mediator effect in the relationship between EI and work performance. Professionals with high levels of IE and low burnout reported the highest per...
Source: International Journal of Environmental Research and Public Health - July 26, 2020 Category: Environmental Health Authors: Martin Sanchez-Gomez Edgar Breso Tags: Article Source Type: research

The automaton as a surgeon: the future of artificial intelligence in emergency and general surgery
ConclusionAI has potential for integration across surgical services, from diagnosis to treatment, and aiding the surgeon in key decision-making for risks per patient. Fully automated surgery may be the future, but at present, AI needs human supervision.
Source: European Journal of Trauma and Emergency Surgery - July 26, 2020 Category: Emergency Medicine Source Type: research

Can Artificial Intelligence Improve Psychotherapy Research and Practice?
AbstractLeonard Bickman ’s article on the future of artificial intelligence (AI) in psychotherapy research paints an encouraging picture of the progress to be made in this field. We support his perspective, but we also offer some cautionary notes about the boost AI can provide. We suggest that AI is not likely to transfo rm psychotherapy research or practice to the degree seen in pharmacology and medicine because the factors that contribute to treatment response in these realms differ so markedly from one another, and in ways that do not favor advances in psychotherapy. Despite this limitation, it seems likely that AI wi...
Source: Administration and Policy in Mental Health and Mental Health Services Research - July 26, 2020 Category: Psychiatry Source Type: research

Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health
AbstractThis conceptual paper describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving mental health services. Toward that end, I draw upon my own research, which has changed over the last half century, to highlight the need to transform the way we conduct mental health services research. I identify exemplars from the emerging literature on artificial intelligence and precision approaches to treatment in which there is an attempt to personalize or fit the tre...
Source: Administration and Policy in Mental Health and Mental Health Services Research - July 26, 2020 Category: Psychiatry Source Type: research

Artificial Intelligence for Personalized Preventive Adolescent Healthcare
This article provides a computer science perspective on how emerging AI technologies —intelligent learning environments, interactive narrative generation, user modeling, and adaptive coaching—can be utilized to model adolescent learning and engagement and deliver personalized support in adaptive health technologies. Many of these technologies have emerged from human-centered app lications of AI in education, training, and entertainment.
Source: Journal of Adolescent Health - July 24, 2020 Category: Child Development Authors: Jonathan P. Rowe, James C. Lester Tags: Review article Source Type: research

Update: Should candidates to high office should pass a cognitive/ mental fitness test?
Wow, that was a couple of very insightful discussions, via social media no less. #1. The first one was about whether heads of state and candidates to high office should pass a cognitive/ mental fitness test. Click HERE to read and discuss some of the sharpest comments, such as… “I wonder what brought this up.” “Definitely. We routinely screen applicants for a wide range of jobs.” “Then the balance of political power would shift towards the designers of those tests.” “That’s what debates are for.” “Yes, but probably nobody would pass it.” “No, because if we can’t judge that for ourselves, t...
Source: SharpBrains - July 24, 2020 Category: Neuroscience Authors: SharpBrains Tags: Cognitive Neuroscience Education & Lifelong Learning Health & Wellness Technology Alzheimer's disease prevention Alzheimers-disease amyloid artificial intelligence Bill Gates brain health brain-teaser cognitive behavioral therapies Source Type: blogs

Artificial intelligence can help predict the bacteria responsible for pneumonia in emergency rooms
(American Society for Microbiology) A team of researchers showed that artificial intelligence (AI) could help predict the type of bacteria that caused the infection in patients with pneumonia. The research is presented at ASM Microbe Online, the annual meeting of the American Society for Microbiology.
Source: EurekAlert! - Medicine and Health - July 24, 2020 Category: International Medicine & Public Health Source Type: news

IJERPH, Vol. 17, Pages 5330: Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing
This study holds salient implications for practitioners and researchers alike as it elucidates the potentials of NIC in the accurate detection of pandemic cases and optimized contact tracing.
Source: International Journal of Environmental Research and Public Health - July 24, 2020 Category: Environmental Health Authors: Israel Edem Agbehadji Bankole Osita Awuzie Alfred Beati Ngowi Richard C. Millham Tags: Review Source Type: research

Digital Biomarkers for the Early Detection of Mild Cognitive Impairment: Artificial Intelligence Meets Virtual Reality
Elderly people affected by Mild Cognitive Impairment (MCI) usually report a perceived decline in cognitive functions that deeply impacts their quality of life. This subtle waning, although it cannot be diagnosable as dementia, is noted by caregivers on the basis of their relative’s behaviors. Crucially, if this condition is also not detected in time by clinicians, it can easily turn into dementia. Thus, early detection of MCI is strongly needed. Classical neuropsychological measures – underlying a categorical model of diagnosis - could be integrated with a dimensional assessment approach involving Virtual Reality (VR) ...
Source: Frontiers in Human Neuroscience - July 24, 2020 Category: Neuroscience Source Type: research

Physicians urge hospitals to become 'artificial intelligence ready'
(University of Virginia Health System) Disorganized efforts to implement artificial intelligence in hospitals could undermine the technology's vast potential to benefit patients, the group warns.
Source: EurekAlert! - Medicine and Health - July 23, 2020 Category: International Medicine & Public Health Source Type: news

An integrated architecture for intelligence evaluation of automated vehicles.
Abstract Increasing automation calls for evaluating the effectiveness and intelligence of automated vehicles. This paper proposes a framework for quantitatively evaluating the intelligence of automated vehicles. Firstly, we establish the evaluation environment for automated vehicles including test field, test task, and evaluation index. The test tasks include the single vehicle decision-making (turning, lane-changing, overtaking, etc.) and the maneuver execution of multi-vehicle interaction (obstacle avoidance, trajectory optimization, etc.). The intelligence evaluation index is the action amount of driving proces...
Source: Accident; Analysis and Prevention. - July 23, 2020 Category: Accident Prevention Authors: Huang H, Zheng X, Yang Y, Liu J, Liu W, Wang J Tags: Accid Anal Prev Source Type: research

Application of artificial intelligence in surgery
AbstractArtificial intelligence (AI) is gradually changing the practice of surgery with technological advancements in imaging, navigation, and robotic intervention. In this article, we review the recent successful and influential applications of AI in surgery from preoperative planning and intraoperative guidance to its integration into surgical robots. We conclude this review by summarizing the current state, emerging trends, and major challenges in the future development of AI in surgery.
Source: Frontiers of Medicine - July 23, 2020 Category: General Medicine Source Type: research

Words or numbers? Communicating probability in intelligence analysis.
Abstract Intelligence analysis is fundamentally an exercise in expert judgment made under conditions of uncertainty. These judgments are used to inform consequential decisions. Following the major intelligence failure that led to the 2003 war in Iraq, intelligence organizations implemented policies for communicating probability in their assessments. Virtually all chose to convey probability using standardized linguistic lexicons in which an ordered set of select probability terms (e.g., highly likely) is associated with numeric ranges (e.g., 80-90%). We review the benefits and drawbacks of this approach, drawing o...
Source: The American Psychologist - July 23, 2020 Category: Psychiatry & Psychology Authors: Dhami MK, Mandel DR Tags: Am Psychol Source Type: research

Indoor Location Identification of Patients for Directing Virtual Care: An AI Approach using Machine Learning and Knowledge-Based Methods
Publication date: Available online 21 July 2020Source: Artificial Intelligence in MedicineAuthor(s): William Van Woensel, Patrice C. Roy, Syed Sibte Raza Abidi, Samina Raza Abidi
Source: Artificial Intelligence in Medicine - July 22, 2020 Category: Bioinformatics Source Type: research

The artificial intelligence ‐assisted cytology diagnostic system in large‐scale cervical cancer screening: A population‐based cohort study of 0.7 million women
ConclusionsAI ‐assisted cytology system could exclude most of normal cytology, and improve sensitivity with clinically equivalent specificity for detection of CIN2+ compared with manual cytology reading. Overall, the results support AI‐based cytology system for the primary cervical cancer screening in large‐ scale population.
Source: Cancer Medicine - July 22, 2020 Category: Cancer & Oncology Authors: Heling Bao, Xiaorong Sun, Yi Zhang, Baochuan Pang, Hua Li, Liang Zhou, Fengpin Wu, Dehua Cao, Jian Wang, Bojana Turic, Linhong Wang Tags: METHOD Source Type: research

Artificial Intelligence Applications in Stroke.
PMID: 32693750 [PubMed - as supplied by publisher]
Source: Nuklearmedizin - July 22, 2020 Category: Radiology Authors: Mouridsen K, Thurner P, Zaharchuk G Tags: Stroke Source Type: research

The Impact of Artificial Intelligence in the Endoscopic Assessment of Premalignant and Malignant Esophageal Lesions: Present and Future.
This study makes a presentation of the artificial intelligence terminology and refers also to the most prominent recent research on computer-assisted diagnosis of neoplasia on Barrett's esophagus and early esophageal squamous cell carcinoma, and prediction of invasion depth in esophageal neoplasms. Furthermore, this review highlights the main directions of future doctor-computer collaborations in which machines are expected to improve the quality of medical action and routine clinical workflow, thus reducing the burden on physicians. PMID: 32708343 [PubMed - in process]
Source: Medicina (Kaunas) - July 21, 2020 Category: Universities & Medical Training Authors: Lazăr DC, Avram MF, Faur AC, Goldiş A, Romoşan I, Tăban S, Cornianu M Tags: Medicina (Kaunas) Source Type: research

Molecules, Vol. 25, Pages 3312: Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate
This article proposes artificial intelligence methods for selecting staves for the construction of barrel heads or bodies with a desired target OTR. Genetic algorithms were used to implement these methods in consideration of the known OTR of the staves and the geometry of the wine barrels. The proposed methods were evaluated in several scenarios: homogenizing the OTR of the actual constructed barrels, constructing low-OTR and high-OTR barrels based on a preclassification of the staves and implementing the proposed method in real cooperage conditions. The results of these experiments suggest the suitability of the proposed ...
Source: Molecules - July 21, 2020 Category: Chemistry Authors: V íctor Martínez-Martínez Ignacio Nevares Maria del Alamo-Sanza Tags: Article Source Type: research

Predicting intelligence from brain gray matter volume
AbstractA positive association between brain size and intelligence is firmly established, but whether region-specific anatomical differences contribute to general intelligence remains an open question. Results from voxel-based morphometry (VBM) - one of the most widely used morphometric methods - have remained inconclusive so far. Here, we applied cross-validated machine learning-based predictive modeling to test whether out-of-sample prediction of individual intelligence scores is possible on the basis of voxel-wise gray matter volume. Features were derived from structural magnetic resonance imaging data (N = 308) usi...
Source: Anatomy and Embryology - July 21, 2020 Category: Anatomy Source Type: research

Predicting intelligence from brain gray matter volume.
Abstract A positive association between brain size and intelligence is firmly established, but whether region-specific anatomical differences contribute to general intelligence remains an open question. Results from voxel-based morphometry (VBM) - one of the most widely used morphometric methods - have remained inconclusive so far. Here, we applied cross-validated machine learning-based predictive modeling to test whether out-of-sample prediction of individual intelligence scores is possible on the basis of voxel-wise gray matter volume. Features were derived from structural magnetic resonance imaging data (N =...
Source: Brain Structure and Function - July 21, 2020 Category: Neuroscience Authors: Hilger K, Winter NR, Leenings R, Sassenhagen J, Hahn T, Basten U, Fiebach CJ Tags: Brain Struct Funct Source Type: research

Trait and ability emotional intelligence as factors associated with cannabis use in adolescence - Gonz ález Yubero S, Palomera Martín R, Lázaro-Visa S.
This study is one of the first with the aim of analyzing the role of ability and trait emotional intelligence, based on the model of May...
Source: SafetyLit - July 20, 2020 Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news

Artificial intelligence system seems to be able to detect a high proportion of periapical lesions in cone-beam computed tomographic images.
Authors: Brignardello-Petersen R PMID: 32680587 [PubMed - as supplied by publisher]
Source: Journal of the American Dental Association - July 20, 2020 Category: Dentistry Tags: J Am Dent Assoc Source Type: research

What ’s in a name? A comparison of attitudes towards artificial intelligence (AI) versus augmented human intelligence (AHI)
“Artificial intelligence” (AI) is often referred to as “augmented human intelligence” (AHI). The latter term implies that computers support—rather than replace—human decision-making. It is unclear whether the ...
Source: BMC Medical Informatics and Decision Making - July 20, 2020 Category: Information Technology Authors: Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore and Cheristi Cognetta-Rieke Tags: Research article Source Type: research