Mobile applications in medical education: A systematic review and meta-analysis

VP Chandran, A Balakrishnan, M Rashid… - PLoS …, 2022 - journals.plos.org
Objective This review evaluates the effectiveness of smartphone applications in improving
academic performance and clinical practice among healthcare professionals and students …

Smartphone-based fundus imaging–where are we now?

MWM Wintergerst, LG Jansen, FG Holz… - The Asia-Pacific …, 2020 - journals.lww.com
With the advent of smartphone-based fundus imaging (SBFI), a low-cost alternative to
conventional digital fundus photography has become available. SBFI allows for a mobile …

Smartphone use in ophthalmology: what is their place in clinical practice?

DT Hogarty, JP Hogarty, AW Hewitt - Survey of Ophthalmology, 2020 - Elsevier
Smartphones are an increasingly common and rapidly developing tool in clinical practice.
Numerous applications or “apps” are available for use on smartphones that aim to help …

A review of smartphone point‐of‐care adapter design

T Alawsi, Z Al‐Bawi - Engineering Reports, 2019 - Wiley Online Library
In this review, we explore the potential of smartphone‐based applications based on their
unique ability to support portable, easy‐to‐use, precise, and efficient functions, which, in …

[HTML][HTML] Comparison of smartphone ophthalmoscopy vs conventional direct ophthalmoscopy as a teaching tool for medical students: the COSMOS study

Y Kim, DL Chao - Clinical Ophthalmology (Auckland, NZ), 2019 - ncbi.nlm.nih.gov
Purpose To investigate the utility of smartphone ophthalmology for medical students for
learning fundoscopy compared with direct ophthalmoscopy. Methods After 1 hour of didactic …

Perceived usefulness and ease of use of fundoscopy by medical students: a randomised crossover trial of six technologies (eFOCUS 1)

HP Dunn, CJ Kang, S Marks, JL Witherow… - BMC Medical …, 2021 - Springer
Background Fundoscopy outside ophthalmology is in decline, and the technical demands of
the traditional direct ophthalmoscope examination are likely contributing. Alternative …

[HTML][HTML] Deep learning-based estimation of axial length and subfoveal choroidal thickness from color fundus photographs

L Dong, XY Hu, YN Yan, Q Zhang, N Zhou… - Frontiers in cell and …, 2021 - frontiersin.org
This study aimed to develop an automated computer-based algorithm to estimate axial
length and subfoveal choroidal thickness (SFCT) based on color fundus photographs. In the …

Colorimetric and electrochemical screening for early detection of diabetes mellitus and diabetic retinopathy—application of sensor arrays and machine learning

G Faura, G Boix-Lemonche, AK Holmeide… - Sensors, 2022 - mdpi.com
In this review, a selection of works on the sensing of biomarkers related to diabetes mellitus
(DM) and diabetic retinopathy (DR) are presented, with the scope of helping and …

Is undergraduate ophthalmology teaching in the United Kingdom still fit for purpose?

Y Scantling-Birch, H Naveed, N Tollemache… - Eye, 2022 - nature.com
There is a growing crisis in ophthalmology education. An increasing number of junior
doctors and general practitioners are losing confidence in their ophthalmic knowledge; this …

Learning curve evaluation upskilling retinal imaging using smartphones

LG Jansen, P Shah, B Wabbels, FG Holz, RP Finger… - Scientific Reports, 2021 - nature.com
Smartphone-based fundus imaging (SBFI) is a low-cost approach for screening of various
ophthalmic diseases and particularly suited to resource limited settings. Thus, we assessed …