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The advent of smartphone fundus imaging technology has marked a significant evolution in the field of ophthalmology, offering a novel approach to the diagnosis and management of retinopathy. This review provides an overview of smartphone fundus imaging, including clinical applications, advantages, limitations, clinical applications, and future directions. The traditional fundus imaging techniques are limited by their cost, portability, and accessibility, particularly in resource-limited settings. Smartphone fundus imaging emerges as a cost-effective, portable, and accessible alternative. This technology facilitates the early detection and monitoring of various retinal pathologies, including diabetic retinopathy, age-related macular degeneration, and retinal vascular disorders, thereby democratizing access to essential diagnostic services. Despite its advantages, smartphone fundus imaging faces challenges in image quality, standardization, regulatory considerations, and medicolegal issues. By addressing these limitations, this review highlights the areas for future research and development to fully harness the potential of smartphone fundus imaging in enhancing patient care and visual outcomes. The integration of this technology into telemedicine is also discussed, underscoring its role in facilitating remote patient care and collaborative care among physicians. Through this review, we aim to contribute to the understanding and advancement of smartphone fundus imaging as a valuable tool in ophthalmic practice, paving the way for its broader adoption and integration into medical diagnostics.
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http://dx.doi.org/10.3390/diagnostics14131395 | DOI Listing |
Neural Netw
September 2025
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China. Electronic address:
Automatic segmentation of retinal vessels from retinography images is crucial for timely clinical diagnosis. However, the high cost and specialized expertise required for annotating medical images often result in limited labeled datasets, which constrains the full potential of deep learning methods. Recent advances in self-supervised pretraining using unlabeled data have shown significant benefits for downstream tasks.
View Article and Find Full Text PDFRetin Cases Brief Rep
September 2025
Doheny Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Purpose: To report the examination and multimodal imaging findings of a patient with unilateral bull's eye maculopathy.
Methods: A retrospective chart review of a 77-year-old patient with unilateral bull's eye maculopathy who presented to a tertiary retinal practice was performed. The patient's history, visual acuity, examination and multimodal imaging findings over five years of follow-up were described.
PLoS One
September 2025
School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.
Computer-aided diagnostic (CAD) systems for color fundus images play a critical role in the early detection of fundus diseases, including diabetes, hypertension, and cerebrovascular disorders. Although deep learning has substantially advanced automatic segmentation techniques in this field, several challenges persist, such as limited labeled datasets, significant structural variations in blood vessels, and persistent dataset discrepancies, which continue to hinder progress. These challenges lead to inconsistent segmentation performance, particularly for small vessels and branch regions.
View Article and Find Full Text PDFCureus
August 2025
Department of Surgical Oncology, CION Cancer Clinics, Hyderabad, IND.
Extra-ovarian recurrence of mucinous cystadenomas (MCs) is a rare phenomenon. This case report presents the first documented instance of a benign MC recurring within the uterine myometrium of a 48-year-old woman. Two years following an oophorectomy for a large left ovarian MC, the patient presented with lower abdominal pain.
View Article and Find Full Text PDFCureus
August 2025
Department of Ophthalmology, Hôpital Maisonneuve-Rosemont, Montreal, CAN.
Choroidal metastasis from occult cutaneous melanoma is rare and can masquerade as ocular inflammation. A 70‑year‑old man with sectoral anterior scleritis was found on multimodal imaging to have a solitary choroidal mass with mild periscleral fluid, prompting systemic evaluation that uncovered colonic polyps that, on histopathology, contained metastatic melanoma, a scalp primary, and widespread visceral, nodal, and intracranial metastases. Tumour cells stained HMB‑45, Melan‑A, and SOX10 positive, AE1/AE3 negative, and carried an NRAS‑Q61 mutation with wild‑type BRAF, confirming cutaneous origin.
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