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Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

unexploited information from it.The aim of this study was to extract a list of mentioned diseases and associated keywords, along with time durations, from the indigenously developed EMR system eyeSmart, which has been implemented across a large multitier ophthalmology

Gumpili Sai Prashanthi, Ayush Deva, Ranganath Vadapalli, Anthony Vipin Das

JMIR Form Res 2020;4(12):e24490


Dermatologists’ Adherence to the Latest Recommendations for Screening of Hydroxychloroquine Retinopathy in Saudi Arabia: Cross-Sectional Study

Dermatologists’ Adherence to the Latest Recommendations for Screening of Hydroxychloroquine Retinopathy in Saudi Arabia: Cross-Sectional Study

Thus, early screening and assessment are crucial to possibly stopping the progression of HCQ-induced retinopathy and preventing vision loss [11].New screening guidelines published by the American Academy of Ophthalmology (AAO) recommend performing baseline

Nouf Talal Mleeh, Nujood Abdulwahed Alzahrani, Jehad Osama Hariri, Hatan Hisham Mortada, Mohammed Ridha Algethami

Interact J Med Res 2019;8(4):e15218


Assessment of Training Outcomes of Nurse Readers for Diabetic Retinopathy Telescreening: Validation Study

Assessment of Training Outcomes of Nurse Readers for Diabetic Retinopathy Telescreening: Validation Study

The integrated grading scheme is based on the Scottish Diabetic Retinopathy Grading Scheme (2007) [36] described in Multimedia Appendix 1, which resembles that of the American Academy of Ophthalmology.

Marie Carole Boucher, Michael Trong Duc Nguyen, Jenny Qian

JMIR Diabetes 2020;5(2):e17309


Deep Learning–Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation

Deep Learning–Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation

important for patients with diabetes; it is also crucial in countries where ESRD is prevalent.With the increasing sophistication of artificial intelligence, deep learning has been increasingly applied to various types of medical imaging analysis, especially ophthalmology

Eugene Yu-Chuan Kang, Yi-Ting Hsieh, Chien-Hung Li, Yi-Jin Huang, Chang-Fu Kuo, Je-Ho Kang, Kuan-Jen Chen, Chi-Chun Lai, Wei-Chi Wu, Yih-Shiou Hwang

JMIR Med Inform 2020;8(11):e23472


Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review

Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review

Topics tended to be broader for studies of expert involvement (eg, dermatology [14], ophthalmology [15], or pain management [16-18]), whereas studies on adherence to medical evidence tended to be more specific (eg, asthma self-management [11], prostate cancer

Yousif Subhi, Sarah Hjartbro Bube, Signe Rolskov Bojsen, Ann Sofia Skou Thomsen, Lars Konge

JMIR Mhealth Uhealth 2015;3(3):e79


Using Google Glass in Nonsurgical Medical Settings: Systematic Review

Using Google Glass in Nonsurgical Medical Settings: Systematic Review

– visual impairmentPilot/feasibility studyLaboratoryMonitors and reports nonverbal social cues to userGarcia and Nahapetian, 2015 (United States)Ophthalmology – visual impairmentPilot/feasibility studyPatient homeAnalyzes environment and reports the information

Bryn Dougherty, Sherif M Badawy

JMIR Mhealth Uhealth 2017;5(10):e159


Provision of Paid Web-Based Medical Consultation in China: Cross-Sectional Analysis of Data From a Medical Consultation Website

Provision of Paid Web-Based Medical Consultation in China: Cross-Sectional Analysis of Data From a Medical Consultation Website

Hospitals where the doctor works, values could be level 1 hospital, level 2 hospital, or level 3 hospital (level 3 is the best).DepartmentDepartment, values could be cancer, internal medicine, ophthalmology and otorhinolaryngology, psychiatric, gynecology-obstetrics-pediatrics

Yumei Li, Xiangbin Yan, Xiaolong Song

J Med Internet Res 2019;21(6):e12126