This page shows you your search results in order of date. This is page number 7.

Order by Relevance | Date

Total 26145 results found since Jan 2013.

Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
Conditions:   Development of the Virtual Biopsy;   Tumor Grade;   Artificial Intelligence Algorithms;   Clinical;   Radiological Intervention:   Diagnostic Test: Diagnostic test Sponsor:   Poitiers University Hospital Not yet recruiting
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Artificial Intelligence Algorithms for Discriminating Between COVID-19 and Influenza Pneumonitis Using Chest X-Rays
Conditions:   COVID-19;   Pneumonia, Viral;   Influenza With Pneumonia;   Flu Symptom;   Flu Like Illness;   Pneumonia, Interstitial;   Pneumonia, Ventilator-Associated;   Pneumonia Atypical Intervention:   Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images Sponsors:   Professor Adrian Covic;   Falcon Trading Iasi Recruiting
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy
Condition:   Keratoconus, Artificial Intelligence, Support Vector Machine Intervention:   Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI). Sponsors:   Gildasio Castello de Almeida Junior;   Fundação de Amparo à Pesquisa do Estado de São Paulo Completed
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Artificial Intelligence Algorithms for Discriminating Between COVID-19 and Influenza Pneumonitis Using Chest X-Rays
Conditions:   COVID-19;   Pneumonia, Viral;   Influenza With Pneumonia;   Flu Symptom;   Flu Like Illness;   Pneumonia, Interstitial;   Pneumonia, Ventilator-Associated;   Pneumonia Atypical Intervention:   Diagnostic Test: Scanning Chest X-rays and performing AI algorithms on images Sponsors:   Professor Adrian Covic;   Falcon Trading Iasi Recruiting
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
Conditions:   Development of the Virtual Biopsy;   Tumor Grade;   Artificial Intelligence Algorithms;   Clinical;   Radiological Intervention:   Diagnostic Test: Diagnostic test Sponsor:   Poitiers University Hospital Not yet recruiting
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy
Condition:   Keratoconus, Artificial Intelligence, Support Vector Machine Intervention:   Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI). Sponsors:   Gildasio Castello de Almeida Junior;   Fundação de Amparo à Pesquisa do Estado de São Paulo Completed
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
Conditions:   Development of the Virtual Biopsy;   Tumor Grade;   Artificial Intelligence Algorithms;   Clinical;   Radiological Intervention:   Diagnostic Test: Diagnostic test Sponsor:   Poitiers University Hospital Not yet recruiting
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy
Condition:   Keratoconus, Artificial Intelligence, Support Vector Machine Intervention:   Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI). Sponsors:   Gildasio Castello de Almeida Junior;   Fundação de Amparo à Pesquisa do Estado de São Paulo Completed
Source: ClinicalTrials.gov - March 18, 2020 Category: Research Source Type: clinical trials

Prognostic factors and profile in traumatic brain injury in the paediatric age.
CONCLUSIONS: Socioeconomic and cultural factors are the best predictors for intelligence quotient and behaviour. These findings contribute to a better understanding of the sequelae of TBI in children, which will help in rehabilitation planning and re-adaptation to functional life. PMID: 32182370 [PubMed - as supplied by publisher]
Source: Revista de Neurologia - March 18, 2020 Category: Neurology Authors: Sanz-Palau M, López-Sala A, Palacio-Navarro A, Turón M, Callejón-Póo L, Sans A, Póo P, Boix C, Colomé R Tags: Rev Neurol Source Type: research

10 Global Digital Health Solutions for International Coronavirus Response
By Wayan Vota, Director of digital health Photo courtesy of ICTWorks.March 18, 2020Global coronavirus infections now exceed 200,000 confirmed cases in 144 countries, with over 8,205 deaths from COVID-19, leading to international travel bans and almost 40 conference cancellations across the international development industry.Donors like USAID, DFID, World Bank, and Gates Foundation are asking,“What global digital health solutions are available for international COVID response that can be implemented by government health systems in low- and middle-income countries? "We asked ...
Source: IntraHealth International - March 18, 2020 Category: International Medicine & Public Health Authors: cbishopp Tags: Infectious Diseases Digital Health Source Type: news

AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
AbstractThe novel coronavirus (COVID-19) outbreak, which was identified in late 2019, requires special attention because of its future epidemics and possible global threats. Beside clinical procedures and treatments, since Artificial Intelligence (AI) promises a new paradigm for healthcare, several different AI tools that are built upon Machine Learning (ML) algorithms are employed for analyzing data and decision-making processes. This means that AI-driven tools help identify COVID-19 outbreaks as well as forecast their nature of spread across the globe. However, unlike other healthcare issues, for COVID-19, to detect COVI...
Source: Journal of Medical Systems - March 18, 2020 Category: Information Technology Source Type: research

The Emerging Pandemic of Coronavirus: The Urgent Need for Public Health Leadership
There is ample precedent for public health officials directing the containment of emerging pandemics. For example, in the early to mid-1960s Donald A. Henderson MD, Chief of the Centers for Disease Control (CDC) Virus Surveillance Program, began to work closely with Alexander D. Langmuir, MD, Director of the Epidemic Intelligence Service and Epidemiology Program at CDC. They first introduced the concept of surveillance and later applied rigorous and evidenced based public health principles and methodologies to the eradication of smallpox.
Source: The American Journal of Medicine - March 18, 2020 Category: General Medicine Authors: Charles H. Hennekens, Safiya George, Terry A. Adirim Tags: Commentary Source Type: research

IJERPH, Vol. 17, Pages 1987: Recent Trends and Future Direction of Dental Research in the Digital Era
U. Zitzmann The digital transformation in dental medicine, based on electronic health data information, is recognized as one of the major game-changers of the 21st century to tackle present and upcoming challenges in dental and oral healthcare. This opinion letter focuses on the estimated top five trends and innovations of this new digital era, with potential to decisively influence the direction of dental research: (1) rapid prototyping (RP), (2) augmented and virtual reality (AR/VR), (3) artificial intelligence (AI) and machine learning (ML), (4) personalized (dental) medicine, and (5) tele-healthcare. Digital dentis...
Source: International Journal of Environmental Research and Public Health - March 18, 2020 Category: Environmental Health Authors: Tim Joda Michael M. Bornstein Ronald E. Jung Marco Ferrari Tuomas Waltimo Nicola U. Zitzmann Tags: Letter Source Type: research

Commonality in Abnormality: "Abnormal" Neuropsychological Scores Are Common in Baseline Testing of Youth Athletes.
CONCLUSIONS: Abnormally low scores in healthy youth occur frequently and do not necessarily represent functional deficits. Cutoffs of 2 SDs should be considered for many tests to increase specificity and reduce the risk of false positive errors that could lead to negative clinical outcomes. PMID: 32186667 [PubMed - as supplied by publisher]
Source: Archives of Clinical Neuropsychology - March 18, 2020 Category: Psychiatry & Psychology Authors: Watson J, Brown C, Hirst RB, Thompson RC Tags: Arch Clin Neuropsychol Source Type: research

NICE publishes its first medtech briefing on artificial intelligence software
A piece of AI software used to assess CT images of people with suspected brain abnormalities is the is the subject of a briefing from NICE.
Source: NHS Networks - March 18, 2020 Category: UK Health Source Type: news

Can AI help health care defeat COVID-19? These Bay Area groups are trying to find out.
Data scientists at Google Cloud-backed Kaggle Inc. and the Chan Zuckerberg Initiative are part of an AI power team using open data sets to take on COVID-19 and the coronavirus that causes the potentially deadly disease. The Trump Administration over the past week pulled together the artificial intelligence effort to pore over millions of pages of studies about the novel coronavirus and COVID-19 that have been published in medical journals. The goal is to engage open-source data scientist sleuths…
Source: bizjournals.com Health Care:Pharmaceuticals headlines - March 17, 2020 Category: Pharmaceuticals Authors: Ron Leuty Source Type: news

Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach.
This study also showed a correlation between intelligence and trustworthiness, as well as between PAS and trustworthiness. The findings of the present study have significant implications for both theory and practice on factors and levels that affect trust in HRI. PMID: 32174344 [PubMed - in process]
Source: Applied Ergonomics - March 17, 2020 Category: Occupational Health Authors: Kim W, Kim N, Lyons JB, Nam CS Tags: Appl Ergon Source Type: research

Operational applications drive AI adoption in radiology
When talking about artificial intelligence (AI) in radiology, one immediately...Read more on AuntMinnie.comRelated Reading: AI predicts final infarct lesion for stroke on MRI New credentialing body formed for AI FDA recognizes AI-based image acquisition software AI may help improve management of stroke patients AI finds infarction in stroke patients on unenhanced CT
Source: AuntMinnie.com Headlines - March 17, 2020 Category: Radiology Source Type: news

AI comparable to rads for interpreting wrist x-rays
An artificial intelligence (AI) deep-learning algorithm performs comparably...Read more on AuntMinnie.comRelated Reading: Ultrasound can benefit daily rheumatology practice Skip ultrasound for treatment decisions in rheumatoid arthritis AI accurately estimates bone age on 3D hand MRI AI can detect, localize fractures on wrist x-rays Ultrasound imaging gauges muscle tightness after stroke
Source: AuntMinnie.com Headlines - March 17, 2020 Category: Radiology Source Type: news

'Blind over-reliance' on AI technology to manage international migration could lead to serious breaches of human rights
(University of Exeter) Over-reliance by countries on artificial intelligence to tackle international migration and manage future migration crisis could lead to serious breaches of human rights, a new study warns.
Source: EurekAlert! - Social and Behavioral Science - March 17, 2020 Category: International Medicine & Public Health Source Type: news

IJERPH, Vol. 17, Pages 1976: Advancing Global Health through Environmental and Public Health Tracking
Fletcher Houthuijs Leonardi Global environmental change has degraded ecosystems. Challenges such as climate change, resource depletion (with its huge implications for human health and wellbeing), and persistent social inequalities in health have been identified as global public health issues with implications for both communicable and noncommunicable diseases. This contributes to pressure on healthcare systems, as well as societal systems that affect health. A novel strategy to tackle these multiple, interacting and interdependent drivers of change is required to protect the population’s health. ...
Source: International Journal of Environmental Research and Public Health - March 17, 2020 Category: Environmental Health Authors: Lauriola Crabbe Behbod Yip Medina Semenza Vardoulakis Kass Zeka Khonelidze Ashworth Hoogh Shi Staatsen Knudsen Fletcher Houthuijs Leonardi Tags: Review Source Type: research

RSIP Vision develops AI module for 3D knee x-ray
Computer software and artificial intelligence (AI) company RSIP Vision has...Read more on AuntMinnie.comRelated Reading: RSIP Vision unveils new AI module for lung biopsy
Source: AuntMinnie.com Headlines - March 16, 2020 Category: Radiology Source Type: news

AI shows high accuracy for detecting COVID-19 on CT
A newly developed artificial intelligence (AI)-based system is highly accurate...Read more on AuntMinnie.comRelated Reading: AIUM cancels annual meeting due to COVID-19 ACR Data Science Institute publishes COVID-19 AI use case Study outlines 1st person-to-person coronavirus spread CT shows pneumonia patterns in kids with coronavirus Radiologists distinguish COVID-19 pneumonia on CT
Source: AuntMinnie.com Headlines - March 16, 2020 Category: Radiology Source Type: news

A Deep Learning Approach to Submerged Teeth Classification and Detection
Conditions:   Artificial Intelligence;   Submerging Tooth Intervention:   Diagnostic Test: deep learning Sponsor:   Eskisehir Osmangazi University Completed
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

Evaluation of the Personal Activity Intelligence (PAI) Score
Condition:   Physical Activity Interventions:   Behavioral: PAI score to motivate physical activity;   Behavioral: Step Counter to motivate physical activity Sponsors:   Ohio University;   Memorial Health System;   PAI Health Not yet recruiting
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

A Deep Learning Approach to Submerged Teeth Classification and Detection
Conditions:   Artificial Intelligence;   Submerging Tooth Intervention:   Diagnostic Test: deep learning Sponsor:   Eskisehir Osmangazi University Completed
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

Evaluation of the Personal Activity Intelligence (PAI) Score
Condition:   Physical Activity Interventions:   Behavioral: PAI score to motivate physical activity;   Behavioral: Step Counter to motivate physical activity Sponsors:   Ohio University;   Memorial Health System;   PAI Health Not yet recruiting
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

A Deep Learning Approach to Submerged Teeth Classification and Detection
Conditions:   Artificial Intelligence;   Submerging Tooth Intervention:   Diagnostic Test: deep learning Sponsor:   Eskisehir Osmangazi University Completed
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

Evaluation of the Personal Activity Intelligence (PAI) Score
Condition:   Physical Activity Interventions:   Behavioral: PAI score to motivate physical activity;   Behavioral: Step Counter to motivate physical activity Sponsors:   Ohio University;   Memorial Health System;   PAI Health Not yet recruiting
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

A Deep Learning Approach to Submerged Teeth Classification and Detection
Conditions:   Artificial Intelligence;   Submerging Tooth Intervention:   Diagnostic Test: deep learning Sponsor:   Eskisehir Osmangazi University Completed
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

Evaluation of the Personal Activity Intelligence (PAI) Score
Condition:   Physical Activity Interventions:   Behavioral: PAI score to motivate physical activity;   Behavioral: Step Counter to motivate physical activity Sponsors:   Ohio University;   Memorial Health System;   PAI Health Not yet recruiting
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

A Deep Learning Approach to Submerged Teeth Classification and Detection
Conditions:   Artificial Intelligence;   Submerging Tooth Intervention:   Diagnostic Test: deep learning Sponsor:   Eskisehir Osmangazi University Completed
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

Evaluation of the Personal Activity Intelligence (PAI) Score
Condition:   Physical Activity Interventions:   Behavioral: PAI score to motivate physical activity;   Behavioral: Step Counter to motivate physical activity Sponsors:   Ohio University;   Memorial Health System;   PAI Health Not yet recruiting
Source: ClinicalTrials.gov - March 16, 2020 Category: Research Source Type: clinical trials

Why Peak Viral Load makes temperature screening alone insufficient for COVID-19
By TONY ESTRELLA And how South Korea and Taiwan’s approach to diagnosis and tracking is leading to positive results By now, the sight of people wearing surgical masks, flinching at the sights and sounds of someone coughing or sneezing, governments restricting large gatherings, and sports leagues suspending or cancelling matches is familiar across the world. Even though this newest coronavirus we now call COVID-19 is not the deadliest disease as measured by daily deaths, the concern over the outbreak is forcing urgent actions. Daily deaths from COVID-19 compared to other diseases. Source: informationisbeautifu...
Source: The Health Care Blog - March 16, 2020 Category: Consumer Health News Authors: Christina Liu Tags: COVID-19 Health Policy Source Type: blogs

Emotional reactions of distributed common ground system imagery analysts exposed to remote combat operations - Chappelle W, Swearingen J, Mulhearn T, Goodman T, Prince L, Frise A.
OBJECTIVE: Imagery analysts of the United States Air Force distributed common ground system (DCGS) provide real-time intelligence informing battlefield decision-making processes worldwide. The number of DCGS combat operations personnel has grown along with...
Source: SafetyLit - March 16, 2020 Category: International Medicine & Public Health Tags: Economics of Injury and Safety, PTSD, Injury Outcomes Source Type: news

Will traditional biopsy be substituted by radiomics and liquid biopsy for breast cancer diagnosis and characterisation?
AbstractThe diagnosis of breast cancer currently relies on radiological and clinical evaluation, confirmed by histopathological examination. However, such approach has some limitations as the suboptimal sensitivity, the long turnaround time for recall tests, the invasiveness of the procedure and the risk that some features of target lesions may remain undetected, making re-biopsy a necessity. Recent technological advances in the field of artificial intelligence hold promise in addressing such medical challenges not only in cancer diagnosis, but also in treatment assessment, and monitoring of disease progression. In the per...
Source: Medical Oncology - March 16, 2020 Category: Cancer & Oncology Source Type: research

IJERPH, Vol. 17, Pages 1935: Mindfulness and Coaching to Improve Learning Abilities in University Students: A Pilot Study
lati This pilot study investigated the effects of a short 10-module intervention called MEL (Mindful Effective Learning), which integrates mindfulness, coaching, and training on study strategies, to improve learning abilities among university students. Inspired by ample research on the learning topics that points out how effective learning and good academic results depend simultaneously on self-regulation while studying combined with emotional and motivational factors, the intervention aimed to train students simultaneously in these three aspects. The intervention group participants (N = 21) and the control group parti...
Source: International Journal of Environmental Research and Public Health - March 16, 2020 Category: Environmental Health Authors: Corti Gelati Tags: Article Source Type: research

The Effects of Exposure to Recent Autobiographical Events on Declarative Memory in Amnestic Mild Cognitive Impairment: A preliminary pilot study.
CONCLUSION: The present study provides preliminary evidence that aMCI patients may benefit from a cognitive intervention program based on re-experiencing recent autobiographical events. However, future studies incorporating a control group will be needed to confirm these preliminary findings. PMID: 32183672 [PubMed - as supplied by publisher]
Source: Current Alzheimer Research - March 16, 2020 Category: Neurology Authors: Gelonch O, Cano N, Vancells M, Bolaños M, Farràs-Permanyer L, Garolera M Tags: Curr Alzheimer Res Source Type: research