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of 15
pro vyhledávání: '"Elizabeth Legowski"'
Autor:
Albert Geskin, Elizabeth Legowski, Anish Chakka, Uma R Chandran, M Michael Barmada, William A LaFramboise, Jeremy Berg, Rebecca S Jacobson
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0131166 (2015)
Next Generation Sequencing (NGS) methods are driving profound changes in biomedical research, with a growing impact on patient care. Many academic medical centers are evaluating potential models to prepare for the rapid increase in NGS information ne
Externí odkaz:
https://doaj.org/article/5c1a3bfa87684022aecab460fa3c1926
Autor:
Girish Chavan, Rebecca S. Jacobson, Julia Corrigan, Eugene Tseytlin, Elizabeth Legowski, Kevin J. Mitchell
Publikováno v:
BMC Bioinformatics
Background Natural language processing (NLP) applications are increasingly important in biomedical data analysis, knowledge engineering, and decision support. Concept recognition is an important component task for NLP pipelines, and can be either gen
Autor:
Olga Medvedeva, Elizabeth Legowski, Kayse Reitmeyer, Eugene Tseytlin, Melissa Castine, Rebecca S. Crowley, Claudia Mello-Thoms, Drazen M. Jukic
Publikováno v:
Advances in Health Sciences Education. 18:343-363
The purpose of this study is threefold: (1) to develop an automated, computer-based method to detect heuristics and biases as pathologists examine virtual slide cases, (2) to measure the frequency and distribution of heuristics and errors across thre
Autor:
Melissa Castine, Olga Medvedeva, Rebecca S. Crowley, Gregory Gardner, Claudia Mello-Thoms, Carlos A. B. Mello, Elizabeth Legowski, Eugene Tseytlin
Publikováno v:
Archives of Pathology & Laboratory Medicine. 136:551-562
Context.—The process by which pathologists arrive at a given diagnosis—a combination of their slide exploration strategy, perceptual information gathering, and cognitive decision making—has not been thoroughly explored, and many questions remai
Autor:
Mayurapriyan Sakthivel, Eugene Tseytlin, Elizabeth Legowski, Roni J. Bollag, Rajiv Dhir, Michael J. Becich, Kevin J. Mitchell, Julia Corrigan, Carmelo Gaudioso, Michael Feldman, Girish Chavan, JoEllen Weaver, Monica L. Murphy, Nita J. Maihle, Rebecca S. Jacobson
Publikováno v:
Cancer research. 75(24)
Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cance
Publikováno v:
F1000Research. 7:1721
One of the major challenges in the development of medical Intelligent Tutoring Systems (ITS) is the development of authored content, a time-consuming process that requires participation of discipline experts. In this publication, we describe the deve
Autor:
Eugene Tseytlin, Jeffrey L. Fine, Elizabeth Legowski, Gilan M. El Saadawi, Rebecca S. Crowley, Drazen M. Jukic, Robert Gormley, Melissa Castine
Publikováno v:
Advances in Health Sciences Education. 13:709-722
Introduction We developed and evaluated a Natural Language Interface (NLI) for an Intelligent Tutoring System (ITS) in Diagnostic Pathology. The system teaches residents to examine pathologic slides and write accurate pathology reports while providin
Autor:
Eugene Tseytlin, Olga Medvedeva, Ellen K. Roh, Rebecca S. Crowley, Elizabeth Legowski, Drazen M. Jukic
Publikováno v:
Journal of the American Medical Informatics Association. 14:182-190
Objective Determine effects of computer-based tutoring on diagnostic performance gains, meta-cognition, and acceptance using two different problem representations. Describe impact of tutoring on spectrum of diagnostic skills required for task perform
Autor:
Eugene Tseytlin, Elizabeth Legowski, Rebecca S. Crowley, Roger Azevedo, Kayse Reitmeyer, Reza Feyzi-Behnagh
Publikováno v:
Instructional science. 42(2)
In this study, we examined the effect of two metacognitive scaffolds on the accuracy of confidence judgments made while diagnosing dermatopathology slides in SlideTutor. Thirty-one (N = 31) first- to fourth-year pathology and dermatology residents we
Is grandma like alichen planus? The problem of image perception and knowledge retention in pathology
Publikováno v:
Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment.
Medicine is the science of acquiring a lot of obscure knowledge and the art of knowing when to apply it, even if only once in a physician’s lifetime. Although medical experts seem to have it all figured out, being significantly better and faster th