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A Keane

Showing results (151-160 of 676) with videos related to

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The British Journal of Ophthalmology|May 6, 2022
New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmologySiddharth Nath, Abdullah Marie, Simon Ellershaw, et al.
The British Journal of Ophthalmology|January 29, 2009
Limits of the retinal-mapping program in age-related macular degenerationP A Keane, S Liakopoulos, A C Walsh, et al.
Social Science & Medicine (1982)|April 1, 1994
Psychological distress in survivors of residential firesA Keane, M Pickett, C Jepson, et al.
Journal of Biomedical Informatics|June 13, 2017
Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Expert Review of Medical Devices|May 14, 2016
Optical coherence tomography angiography: a non-invasive tool to image end-arterial systemRupesh Agrawal, Wei Xin, Pearse A Keane, et al.
Journal of the American Medical Informatics Association : JAMIA|April 23, 2013
Combining rules and machine learning for extraction of temporal expressions and events from clinical narrativesAleksandar Kovacevic, Azad Dehghan, Michele Filannino, et al.
International Journal of Retina and Vitreous|January 30, 2019
Spontaneous retinal pigment epithelial tear in type 2 choroidal neovascularization: repair mechanisms following anti-VEGF therapyGiuseppe Casalino, Vasuki Sivagnanavel, Samir Dowlut, et al.
Journal of Biomedical Informatics|July 3, 2015
Using local lexicalized rules to identify heart disease risk factors in clinical notesGeorge Karystianis, Azad Dehghan, Aleksandar Kovacevic, et al.
Sexually Transmitted Infections|April 1, 2005
Methods employed by genitourinary medicine clinics in the United Kingdom to diagnose bacterial vaginosisF E A Keane, R Maw, C Pritchard, et al.
Current Opinion in Ophthalmology|July 7, 2021
Applications of interpretability in deep learning models for ophthalmologyAdam M Hanif, Sara Beqiri, Pearse A Keane, et al.
Pageof 68

Showing results (151-160 of 676) with videos related to

Sort By:
Pageof 68
The British Journal of Ophthalmology|May 6, 2022
New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmologySiddharth Nath, Abdullah Marie, Simon Ellershaw, et al.
The British Journal of Ophthalmology|January 29, 2009
Limits of the retinal-mapping program in age-related macular degenerationP A Keane, S Liakopoulos, A C Walsh, et al.
Social Science & Medicine (1982)|April 1, 1994
Psychological distress in survivors of residential firesA Keane, M Pickett, C Jepson, et al.
Journal of Biomedical Informatics|June 13, 2017
Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Expert Review of Medical Devices|May 14, 2016
Optical coherence tomography angiography: a non-invasive tool to image end-arterial systemRupesh Agrawal, Wei Xin, Pearse A Keane, et al.
Journal of the American Medical Informatics Association : JAMIA|April 23, 2013
Combining rules and machine learning for extraction of temporal expressions and events from clinical narrativesAleksandar Kovacevic, Azad Dehghan, Michele Filannino, et al.
International Journal of Retina and Vitreous|January 30, 2019
Spontaneous retinal pigment epithelial tear in type 2 choroidal neovascularization: repair mechanisms following anti-VEGF therapyGiuseppe Casalino, Vasuki Sivagnanavel, Samir Dowlut, et al.
Journal of Biomedical Informatics|July 3, 2015
Using local lexicalized rules to identify heart disease risk factors in clinical notesGeorge Karystianis, Azad Dehghan, Aleksandar Kovacevic, et al.
Sexually Transmitted Infections|April 1, 2005
Methods employed by genitourinary medicine clinics in the United Kingdom to diagnose bacterial vaginosisF E A Keane, R Maw, C Pritchard, et al.
Current Opinion in Ophthalmology|July 7, 2021
Applications of interpretability in deep learning models for ophthalmologyAdam M Hanif, Sara Beqiri, Pearse A Keane, et al.
Pageof 68