AIMC Topic: Teaching
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Humans and machines: Moving towards a more symbiotic approach to learning clinical reasoning.
Medical teacher
Oct 28, 2019
Artificial intelligence is a growing phenomenon that is driving major changes to how we deliver healthcare. One of its most significant and challenging contributions is likely to be in diagnosis. Artificial intelligence is challenging the physician's...
Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis.
The Lancet. Digital health
Aug 9, 2019
BACKGROUND: Spectral-domain optical coherence tomography (SDOCT) can be used to detect glaucomatous optic neuropathy, but human expertise in interpretation of SDOCT is limited. We aimed to develop and validate a three-dimensional (3D) deep-learning s...
Artificial intelligence for precision education in radiology.
The British journal of radiology
Jul 26, 2019
In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and has emerging applications in medicine, particularly rad...
Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation.
Computational intelligence and neuroscience
Jul 10, 2019
In this paper, a hybrid deep neural network scheduler (HDNNS) is proposed to solve job-shop scheduling problems (JSSPs). In order to mine the state information of schedule processing, a job-shop scheduling problem is divided into several classificati...
Harnessing robotic automation and web-based technologies to modernize scientific outreach.
PLoS biology
Jun 26, 2019
Technological breakthroughs in the past two decades have ushered in a new era of biomedical research, turning it into an information-rich and technology-driven science. This scientific revolution, though evident to the research community, remains opa...
Who is a better teacher for children with autism? Comparison of learning outcomes between robot-based and human-based interventions in gestural production and recognition.
Research in developmental disabilities
Jan 21, 2019
BACKGROUND: Individuals with autism spectrum disorder (ASD) tend to show deficits in engaging with humans. Previous findings have shown that robot-based training improves the gestural recognition and production of children with ASD. It is not known w...
Using artificial intelligence to assess clinicians' communication skills.
BMJ (Clinical research ed.)
Jan 18, 2019
DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Providing medical trainees with effective feedback is critical to the successful development of their diagnostic reasoning skills. We present the design of DrKnow, a web-based learning application that utilises a clinical decision support system (CDS...
Optimal Synthesis of Four-Bar Linkage Path Generation through Evolutionary Computation with a Novel Constraint Handling Technique.
Computational intelligence and neuroscience
Nov 1, 2018
This paper presents a novel constraint handling technique for optimum path generation of four-bar linkages using evolutionary algorithms (EAs). Usually, the design problem is assigned to minimize the error between desired and obtained coupler curves ...
Microanalysis of video from a robotic surgical procedure: implications for observational learning in the robotic environment.
Journal of robotic surgery
Sep 1, 2018
Without haptic feedback, robotic surgeons rely on visual processing to interpret the operative field. To provide guidance for teaching in this environment, we analyzed intracorporeal actions and behaviors of a robotic surgeon. Six hours of video were...
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