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Blended Learning Compared to Traditional Learning in Medical Education: Systematic Review and Meta-Analysis

Journal of medical Internet research, 2020-08, Vol.22 (8), p.e16504-e16504

2020

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Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom

Proceedings of the National Academy of Sciences - PNAS, 2019-09, Vol.116 (39), p.19251-19257

2019

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Collaborative learning in networks

Proceedings of the National Academy of Sciences - PNAS, 2012-01, Vol.109 (3), p.764-769

2012

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General learning ability in perceptual learning

Proceedings of the National Academy of Sciences - PNAS, 2020-08, Vol.117 (32), p.19092-19100

2020

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Motor skill learning requires active central myelination

Science (American Association for the Advancement of Science), 2014-10, Vol.346 (6207), p.318-322

2014

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Machine Learning-Based Deep Phenotyping of Atopic Dermatitis: Severity-Associated Factors in Adolescent and Adult Patients

JAMA dermatology (Chicago, Ill.), 2021-12, Vol.157 (12), p.1414

2021

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Associative learning of social value

Nature, 2008-11, Vol.456 (7219), p.245-249

2008

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The learning curve associated with robotic-arm assisted unicompartmental knee arthroplasty: a prospective cohort study

The bone & joint journal, 2018-08, Vol.100-B (8), p.1033-1042

2018

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Learning in the Real Place: Medical Students’ Learning and Socialization in Clerkships at One Medical School

Academic medicine, 2015-02, Vol.90 (2), p.231-239

2015

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A deep learning system for differential diagnosis of skin diseases

Nature medicine, 2020-06, Vol.26 (6), p.900-908

2020

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Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach

Academic emergency medicine, 2016-03, Vol.23 (3), p.269-278

2016

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Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging

Radiology, 2018-02, Vol.286 (2), p.676

2018

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The RSNA Pediatric Bone Age Machine Learning Challenge

Radiology, 2019-02, Vol.290 (2), p.498

2019

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Learning Curve and Clinical Outcomes of Minimally Invasive Transforaminal Lumbar Interbody Fusion: Our Experience in 86 Consecutive Cases

Spine (Philadelphia, Pa. 1976), 2012-08, Vol.37 (18), p.1548-1557

2012

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Robotic major hepatectomy: Is there a learning curve?

Surgery, 2017-03, Vol.161 (3), p.642-649

2017

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Neural mechanisms of observational learning

Proceedings of the National Academy of Sciences - PNAS, 2010-08, Vol.107 (32), p.14431-14436

2010

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The Learning Curve in Prostate MRI Interpretation: Self-Directed Learning Versus Continual Reader Feedback

American journal of roentgenology (1976), 2017-03, Vol.208 (3), p.W92

2017

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A memory of errors in sensorimotor learning

Science (American Association for the Advancement of Science), 2014-09, Vol.345 (6202), p.1349-1353

2014

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Unlocking adults' implicit statistical learning by cognitive depletion

Proceedings of the National Academy of Sciences - PNAS, 2022-01, Vol.119 (2)

2022

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An RCT to treat learning impairment in multiple sclerosis: The MEMREHAB trial

Neurology, 2013-12, Vol.81 (24), p.2066

2013

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Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial

JAMA : the journal of the American Medical Association, 2020-03, Vol.323 (11), p.1052

2020

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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Nature medicine, 2019-08, Vol.25 (8), p.1301-1309

2019

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Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT

Radiology, 2022-04, Vol.303 (1), p.202-212

2022

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A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome

Canadian journal of cardiology, 2022-02, Vol.38 (2), p.152-159

2022

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Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

Radiology, 2019-08, Vol.292 (2), p.365

2019

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Blended Learning Compared to Traditional Learning in Medical Education: Systematic Review and Meta-Analysis

Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom

Collaborative learning in networks

General learning ability in perceptual learning

Motor skill learning requires active central myelination

Machine Learning-Based Deep Phenotyping of Atopic Dermatitis: Severity-Associated Factors in Adolescent and Adult Patients

Associative learning of social value

The learning curve associated with robotic-arm assisted unicompartmental knee arthroplasty: a prospective cohort study

Learning in the Real Place: Medical Students’ Learning and Socialization in Clerkships at One Medical School

A deep learning system for differential diagnosis of skin diseases

Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach

Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging

The RSNA Pediatric Bone Age Machine Learning Challenge

Learning Curve and Clinical Outcomes of Minimally Invasive Transforaminal Lumbar Interbody Fusion: Our Experience in 86 Consecutive Cases

Robotic major hepatectomy: Is there a learning curve?

Neural mechanisms of observational learning

The Learning Curve in Prostate MRI Interpretation: Self-Directed Learning Versus Continual Reader Feedback

A memory of errors in sensorimotor learning

Unlocking adults' implicit statistical learning by cognitive depletion

An RCT to treat learning impairment in multiple sclerosis: The MEMREHAB trial

Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT

A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome

Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

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