AIMC Topic: Research Personnel
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A decade retrospective of medical robotics research from 2010 to 2020.
Science robotics
Nov 10, 2021
Robotics is a forward-looking discipline. Attention is focused on identifying the next grand challenges. In an applied field such as medical robotics, however, it is important to plan the future based on a clear understanding of what the research com...
Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.
PloS one
Sep 2, 2021
INTRODUCTION: Degenerative Cervical Myelopathy (DCM) is a common and disabling condition, with a relatively modest research capacity. In order to accelerate knowledge discovery, the AO Spine RECODE-DCM project has recently established the top priorit...
Guidelines for Conducting Ethical Artificial Intelligence Research in Neurology: A Systematic Approach for Clinicians and Researchers.
Neurology
Jul 27, 2021
Preemptive recognition of the ethical implications of study design and algorithm choices in artificial intelligence (AI) research is an important but challenging process. AI applications have begun to transition from a promising future to clinical re...
Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research.
Journal of empirical research on human research ethics : JERHRE
Mar 18, 2021
The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their rese...
Examining the Utility of the DESCARTE Model for Case Study Research.
Research in gerontological nursing
Mar 1, 2021
The DESCARTE model aims to guide health care researchers on the design, conduct, and reporting of case studies. The current article critically appraises the utility of the model and provides an example of its application to a multiple case study that...
Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm.
PloS one
Dec 16, 2020
Automated quantification of behavior is increasingly prevalent in neuroscience research. Human judgments can influence machine-learning-based behavior classification at multiple steps in the process, for both supervised and unsupervised approaches. S...
An Artificial Intelligence Approach to Proactively Inspire Drug Discovery with Recommendations.
Journal of medicinal chemistry
Mar 30, 2020
Artificial intelligence (AI) is becoming established in drug discovery. For example, many in the industry are applying machine learning approaches to target discovery or to optimize compound synthesis. While our organization is certainly applying the...
Ethical concerns with the use of intelligent assistive technology: findings from a qualitative study with professional stakeholders.
BMC medical ethics
Dec 19, 2019
BACKGROUND: Advances in artificial intelligence (AI), robotics and wearable computing are creating novel technological opportunities for mitigating the global burden of population ageing and improving the quality of care for older adults with dementi...
Re-examining physician-scientist training through the prism of the discovery-invention cycle.
F1000Research
Dec 19, 2019
The training of physician-scientists lies at the heart of future medical research. In this commentary, we apply Narayanamurti and Odumosu's framework of the "discovery-invention cycle" to analyze the structure and outcomes of the integrated MD/PhD pr...
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices.
Science and engineering ethics
Dec 11, 2019
The debate about the ethical implications of Artificial Intelligence dates from the 1960s (Samuel in Science, 132(3429):741-742, 1960. https://doi.org/10.1126/science.132.3429.741 ; Wiener in Cybernetics: or control and communication in the animal an...
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