Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions
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DOI: 10.1002/acm2.13898
Abstract: Abstract Motivation Medical image analysis involves a series of tasks used to assist physicians in qualitative and quantitative analyses of lesions or anatomical structures which can significantly improve the accuracy and reliability of medical diagnoses… read more here.
Keywords: reinforcement learning; medical image; learning medical; analysis ... See more keywords
Hello World Deep Learning in Medical Imaging
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DOI: 10.1007/s10278-018-0079-6
Abstract: There is recent popularity in applying machine learning to medical imaging, notably deep learning, which has achieved state-of-the-art performance in image analysis and processing. The rapid adoption of deep learning may be attributed to the… read more here.
Keywords: deep learning; world deep; hello world; learning medical ... See more keywords
Evaluation of a Faculty Coach Pilot Program to Teach and Assess Entrustable Professional Activities and Reflective Learning in Medical Students
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DOI: 10.1007/s40670-018-0625-3
Abstract: ObjectiveEntrustable professional activities (EPAs) have emerged as a construct to operationalize competency-based medical education. In a programmatic pilot, we assessed the feasibility and effectiveness of faculty coaches for assessing EPAs and facilitating reflective learning in… read more here.
Keywords: medical students; reflective learning; faculty coach; faculty ... See more keywords
Not‐so‐supervised: A survey of semi‐supervised, multi‐instance, and transfer learning in medical image analysis
Sign Up to like & getrecommendations! Published in 2019 at "Medical Image Analysis"
DOI: 10.1016/j.media.2019.03.009
Abstract: &NA; Machine learning (ML) algorithms have made a tremendous impact in the field of medical imaging. While medical imaging datasets have been growing in size, a challenge for supervised ML algorithms that is frequently mentioned… read more here.
Keywords: transfer learning; instance transfer; semi supervised; image analysis ... See more keywords
Reply to letter “Leveraging e-learning for medical education in low- and middle-income countries”
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DOI: 10.1017/s1047951120001213
Abstract: 1The Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; 2Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; 3Division of Pediatric Cardiology, University of Kentucky Children’s Hospital, Lexington, KY, USA;… read more here.
Keywords: medical education; leveraging learning; cardiology; reply letter ... See more keywords
Socially mediated metacognition for understanding science of learning in medical education
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DOI: 10.1080/0142159x.2017.1302577
Abstract: I write in response to Gooding et al.’s (2017) article on twelve tips for applying science of learning in medical education. The importance of metacognition commonly understood as awareness of one’s thinking accompanied by self-regulatory… read more here.
Keywords: medical education; science learning; socially mediated; learning medical ... See more keywords
Prescribing learning for medical students: A student’s perspective
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DOI: 10.1080/0142159x.2020.1751810
Abstract: Dear EditorWe enjoyed reading this article (Linton and Murdoch-Eaton 2020) as medical students who closely empathise with the anxiety associated with prescribing.With the rise of polypharmacy due t... read more here.
Keywords: medical students; prescribing learning; learning medical; student perspective ... See more keywords
Twelve tips for mindful teaching and learning in medical education
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DOI: 10.1080/0142159x.2021.1901869
Abstract: Abstract Mindfulness practice has been shown to have many positive benefits for patients, clinicians, and trainees. Mindfulness fosters compassion, connection, and enhanced clinical reasoning and can reduce burnout among clinicians. A primary focus of mindfulness… read more here.
Keywords: twelve tips; teaching learning; tips mindful; medical education ... See more keywords
Designing undergraduate neurosurgical e-learning: medical students’ perspective
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DOI: 10.1080/02688697.2018.1520806
Abstract: Dear Editor,We were interested to read the recent article by Knight et al.1 about the utility of neurosurgical sessions to students at a London-based university. The authors identified understandin... read more here.
Keywords: medical students; undergraduate neurosurgical; students perspective; designing undergraduate ... See more keywords
Introduction of social media to aid active-learning in medical teaching
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DOI: 10.1080/10494820.2020.1766508
Abstract: WeChat is one of the most popular social media mobile apps in China. WeChat was introduced to the course of Introduction to Human Health and Disease, as an instant interactive platform to enhance s... read more here.
Keywords: social media; active learning; media aid; learning medical ... See more keywords
E-learning in medical education: the potential environmental impact
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DOI: 10.1080/14739879.2017.1389619
Abstract: Abstract Introduction There is a growing interest in the use of e-learning in medical education. However until recently there has been little interest in the potential environmental benefits of e-learning. This paper models various environmental… read more here.
Keywords: medical education; carbon footprint; impact; learning medical ... See more keywords