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Baxter SL 23
Showing records 1 to 23 | Display all abstracts from Baxter SL108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
Chen JS
Journal of Glaucoma 2023; 32: 151-158
107712 Associations between Socioeconomic Factors and Visit Adherence among Patients with Glaucoma in the All of Us Research Program
Acuff K
Ophthalmology. Glaucoma 2023; 6: 405-412
108662 Epidemiology and factors associated with cannabis use among patients with glaucoma in the Research Program
Wu JH
Heliyon 2023; 9: e15811
107773 Mental health and social support among glaucoma patients enrolled in the NIH All of Us COVID-19 Participant Experience (COPE) survey
Delavar A; Bu JJ
BMC Ophthalmology 2023; 23: 63
108662 Epidemiology and factors associated with cannabis use among patients with glaucoma in the Research Program
Radha Saseendrakumar B
Heliyon 2023; 9: e15811
107712 Associations between Socioeconomic Factors and Visit Adherence among Patients with Glaucoma in the All of Us Research Program
Delavar A
Ophthalmology. Glaucoma 2023; 6: 405-412
108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
Baxter SL
Journal of Glaucoma 2023; 32: 151-158
107712 Associations between Socioeconomic Factors and Visit Adherence among Patients with Glaucoma in the All of Us Research Program
Radha Saseendrakumar B
Ophthalmology. Glaucoma 2023; 6: 405-412
107773 Mental health and social support among glaucoma patients enrolled in the NIH All of Us COVID-19 Participant Experience (COPE) survey
Radha Saseendrakumar B
BMC Ophthalmology 2023; 23: 63
108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
van den Brandt A
Journal of Glaucoma 2023; 32: 151-158
108662 Epidemiology and factors associated with cannabis use among patients with glaucoma in the Research Program
Moghimi S; Sidhu S
Heliyon 2023; 9: e15811
107773 Mental health and social support among glaucoma patients enrolled in the NIH All of Us COVID-19 Participant Experience (COPE) survey
Weinreb RN
BMC Ophthalmology 2023; 23: 63
108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
Lieu A
Journal of Glaucoma 2023; 32: 151-158
107712 Associations between Socioeconomic Factors and Visit Adherence among Patients with Glaucoma in the All of Us Research Program
Wu JH; Weinreb RN
Ophthalmology. Glaucoma 2023; 6: 405-412
108662 Epidemiology and factors associated with cannabis use among patients with glaucoma in the Research Program
Kamalipour A
Heliyon 2023; 9: e15811
107773 Mental health and social support among glaucoma patients enrolled in the NIH All of Us COVID-19 Participant Experience (COPE) survey
Baxter SL
BMC Ophthalmology 2023; 23: 63
108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
Camp AS
Journal of Glaucoma 2023; 32: 151-158
107712 Associations between Socioeconomic Factors and Visit Adherence among Patients with Glaucoma in the All of Us Research Program
Baxter SL
Ophthalmology. Glaucoma 2023; 6: 405-412
108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
Do JL
Journal of Glaucoma 2023; 32: 151-158
108662 Epidemiology and factors associated with cannabis use among patients with glaucoma in the Research Program
Weinreb RN
Heliyon 2023; 9: e15811
108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
Welsbie DS
Journal of Glaucoma 2023; 32: 151-158
108662 Epidemiology and factors associated with cannabis use among patients with glaucoma in the Research Program
Baxter SL
Heliyon 2023; 9: e15811
108023 Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression
Moghimi S; Christopher M; Weinreb RN; Zangwill LM
Journal of Glaucoma 2023; 32: 151-158
