Search Results - "ELMORE, Joann G"
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Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks
Published in Pattern recognition (01-12-2018)“…•Commonly studied scenario considers only binary cancer vs. no cancer classification.•Our system classifies whole slide breast biopsies into five diagnostic…”
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Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images
Published in IEEE transactions on medical imaging (01-01-2018)“…Digital pathology has entered a new era with the availability of whole slide scanners that create the high-resolution images of full biopsy slides…”
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Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens
Published in JAMA : the journal of the American Medical Association (17-03-2015)“…IMPORTANCE: A breast pathology diagnosis provides the basis for clinical treatment and management decisions; however, its accuracy is inadequately understood…”
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Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study
Published in BMJ (Online) (28-06-2017)“…Objective To quantify the accuracy and reproducibility of pathologists’ diagnoses of melanocytic skin lesions.Design Observer accuracy and reproducibility…”
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A review of eye tracking for understanding and improving diagnostic interpretation
Published in Cognitive research: principles and implications (22-02-2019)“…Inspecting digital imaging for primary diagnosis introduces perceptual and cognitive demands for physicians tasked with interpreting visual medical information…”
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6
Zoom behavior during visual search modulates pupil diameter and reflects adaptive control states
Published in PloS one (09-03-2023)“…Adaptive gain theory proposes that the dynamic shifts between exploration and exploitation control states are modulated by the locus coeruleus-norepinephrine…”
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7
Eye movements as an index of pathologist visual expertise: a pilot study
Published in PloS one (01-08-2014)“…A pilot study examined the extent to which eye movements occurring during interpretation of digitized breast biopsy whole slide images (WSI) can distinguish…”
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Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman
Published in Journal of general internal medicine : JGIM (01-08-2023)“…Background Breast cancer risk models guide screening and chemoprevention decisions, but the extent and effect of variability among models, particularly at the…”
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Implications of Direct Patient Online Access to Radiology Reports Through Patient Web Portals
Published in Journal of the American College of Radiology (01-12-2016)“…Abstract In an era of increasing health information transparency and informed decision making, more patients are being provided with direct online access to…”
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Patients' Attitudes Regarding Lung Cancer Screening and Decision Aids. A Survey and Focus Group Study
Published in Annals of the American Thoracic Society (01-11-2016)“…Little is known about vulnerable patients' perceptions and understanding of, and preferences for, lung cancer screening decision aids. To determine, in a…”
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E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes
Published in PloS one (06-04-2022)“…Shareable e-scooters have become popular, but injuries to riders and bystanders have not been well characterized. The goal of this study was to describe…”
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Your Patient Is Now Reading Your Note: Opportunities, Problems and Prospects
Published in The American journal of medicine (01-10-2016)“…Patients have unprecedented online access to their medical records. More than 6 million Americans can now read their doctors' notes via patient portals, and…”
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Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions
Published in JAMA network open (02-08-2019)“…Following recent US Food and Drug Administration approval, adoption of whole slide imaging in clinical settings may be imminent, and diagnostic accuracy,…”
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Mammographic performance in a population-based screening program: before, during, and after the transition from screen-film to full-field digital mammography
Published in Radiology (01-07-2014)“…To compare performance measures before, during, and after the transition from screen-film mammography (SFM) to full-field digital mammography (FFDM) in a…”
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15
The MPATH-Dx reporting schema for melanocytic proliferations and melanoma
Published in Journal of the American Academy of Dermatology (01-01-2014)“…Background The histologic diagnosis of melanoma and nevi can be subject to discordance and errors, potentially leading to inappropriate treatment and harm…”
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Influence of Computer-Aided Detection on Performance of Screening Mammography
Published in The New England journal of medicine (05-04-2007)“…Since its approval by the Food and Drug Administration, computer-aided detection has come into use for screening mammography at many facilities. The authors of…”
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Pathways to breast cancer screening artificial intelligence algorithm validation
Published in Breast (Edinburgh) (01-08-2020)“…As more artificial intelligence (AI)-enhanced mammography screening tools enter the clinical market, greater focus will be placed on external validation in…”
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18
The association between prolonged SARS-CoV-2 symptoms and work outcomes
Published in PloS one (29-07-2024)“…While the early effects of the COVID-19 pandemic on the United States labor market are well-established, less is known about the long-term impact of SARS-CoV-2…”
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Patients Contributing to Visit Notes: Mixed Methods Evaluation of OurNotes
Published in Journal of medical Internet research (08-11-2021)“…Secure patient portals are widely available, and patients use them to view their electronic health records, including their clinical notes. We conducted…”
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Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study
Published in Journal of digital imaging (01-08-2016)“…Whole slide digital imaging technology enables researchers to study pathologists’ interpretive behavior as they view digital slides and gain new understanding…”
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