AIMC Topic: Research

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Big Techs and startups in pharmaceutical R&D - A 2020 perspective on artificial intelligence.

Drug discovery today May 7, 2021
We investigated what kind of artificial intelligence (AI) technologies are utilized in pharmaceutical research and development (R&D) and which sources of AI-related competencies can be leveraged by pharmaceutical companies. First, we found that machi...
Humans Artificial Intelligence Machine Learning Drug Development Drug Industry Entrepreneurship Technology Research Drug Discovery
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The role of foreign technologies and R&D in innovation processes within catching-up CEE countries.

PloS one Apr 22, 2021
Prior research showed that there is a growing consensus among researchers, which point out a key role of external knowledge sources such as external R&D and technologies in enhancing firms´ innovation. However, firms´ from catching-up Central and Eas...
Models, Theoretical Europe Regression Analysis Inventions International Cooperation Knowledge Machine Learning Research Surveys and Questionnaires Economic Development Humans Neural Networks, Computer
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Successful incorporation of single reviewer assessments during systematic review screening: development and validation of sensitivity and work-saved of an algorithm that considers exclusion criteria and count.

Systematic reviews Apr 5, 2021
BACKGROUND: Accepted systematic review (SR) methodology requires citation screening by two reviewers to maximise retrieval of eligible studies. We hypothesized that records could be excluded by a single reviewer without loss of sensitivity in two con...
Humans Mass Screening Systematic Reviews as Topic Machine Learning Algorithms Research Child Canada
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Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews.

Systematic reviews Apr 1, 2021
BACKGROUND: Systematic reviews and meta-analyses provide the highest level of evidence to help inform policy and practice, yet their rigorous nature is associated with significant time and economic demands. The screening of titles and abstracts is th...
Systematic Reviews as Topic Workload Humans Machine Learning Research Mass Screening
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Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.

Journal of medical Internet research Mar 12, 2021
Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage,...
Humans Artificial Intelligence Precision Medicine SARS-CoV-2 Pandemics COVID-19 Research
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Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research.

Accident; analysis and prevention Feb 8, 2021
Vehicle automation safety must be evaluated not only for market success but also for more informed decision-making about Automated Vehicles' (AVs) deployment and supporting policies and regulations to govern AVs' unintended consequences. This study i...
Automobile Driving Accidents, Traffic Safety Humans Research Reproducibility of Results Robotics
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Artificial intelligence in dermatopathology: Diagnosis, education, and research.

Journal of cutaneous pathology Jan 26, 2021
Artificial intelligence (AI) utilizes computer algorithms to carry out tasks with human-like intelligence. Convolutional neural networks, a type of deep learning AI, can classify basal cell carcinoma, seborrheic keratosis, and conventional nevi, high...
Nevus Keratosis, Seborrheic Diagnostic Tests, Routine Observer Variation Pathology Diagnosis, Differential Dermatology Algorithms Research Melanoma Neural Networks, Computer Skin Neoplasms Artificial Intelligence Carcinoma, Basal Cell Machine Learning Deep Learning Humans
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Statistical stopping criteria for automated screening in systematic reviews.

Systematic reviews Nov 28, 2020
Active learning for systematic review screening promises to reduce the human effort required to identify relevant documents for a systematic review. Machines and humans work together, with humans providing training data, and the machine optimising th...
Machine Learning Research Systematic Reviews as Topic Humans
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COPD phenotypes and machine learning cluster analysis: A systematic review and future research agenda.

Respiratory medicine Jul 28, 2020
Chronic Obstructive Pulmonary Disease (COPD) is a highly heterogeneous condition projected to become the third leading cause of death worldwide by 2030. To better characterize this condition, clinicians have classified patients sharing certain sympto...
Research Pulmonary Disease, Chronic Obstructive Humans Genomics Comorbidity Phenotype Machine Learning Cluster Analysis Algorithms Biomarkers
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Machine Learning and Psychological Research: The Unexplored Effect of Measurement.

Perspectives on psychological science : a journal of the Association for Psychological Science Apr 29, 2020
Machine learning (i.e., data mining, artificial intelligence, big data) has been increasingly applied in psychological science. Although some areas of research have benefited tremendously from a new set of statistical tools, most often in the use of ...
Big Data Data Mining Psychology Machine Learning Humans Algorithms Artificial Intelligence Research
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